


default search action
Philip S. Yu
Person information
- affiliation: University of Illinois at Chicago, Department of Computer Science, Chicago, IL, USA
- affiliation (PhD): Stanford University, Stanford, CA, USA
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
showing all ?? records
2020 – today
- 2026
[j717]Songwei Zhao
, Yuan Jiang
, Sinuo Zhang
, Jifeng Hu
, Philip S. Yu, Hechang Chen:
Towards context-aware graph representation learning: Adaptive node aggregation with LLMs. Artif. Intell. 358: 104584 (2026)
[j716]Yuqing Liang, Jiancheng Xiao, Wensheng Gan, Philip S. Yu:
Watermarking techniques for large language models: a survey. Artif. Intell. Rev. 59(2): 74 (2026)
[j715]Lingzhe Zhang
, Tong Jia
, Mengxi Jia
, Yifan Wu
, Aiwei Liu
, Yong Yang
, Zhonghai Wu
, Xuming Hu
, Philip S. Yu
, Ying Li
:
A Survey of AIOps in the Era of Large Language Models. ACM Comput. Surv. 58(2): 44:1-44:35 (2026)
[j714]Shang Wang
, Tianqing Zhu
, Bo Liu
, Ming Ding
, Dayong Ye
, Wanlei Zhou
, Philip S. Yu
:
Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey. ACM Comput. Surv. 58(4): 83:1-83:36 (2026)
[j713]Feng He
, Tianqing Zhu
, Dayong Ye
, Bo Liu
, Wanlei Zhou
, Philip S. Yu
:
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. ACM Comput. Surv. 58(6): 162:1-162:36 (2026)
[j712]Panpan Meng
, Chenxu Wang
, Shihao Wang
, Kay Liu
, Yankai Chen
, Zhanggong Wang
, Philip S. Yu
:
Community-aware multi-granularity contrastive learning for graph anomaly detection. Expert Syst. Appl. 305: 130872 (2026)
[j711]Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu:
Large language models meet NLP: a survey. Frontiers Comput. Sci. 20(11): 2011361 (2026)
[j710]Li Sun, Philip S. Yu:
A Riemannian perspective on graph foundation models: curvature as a guiding principle. Frontiers Comput. Sci. 20(12): 2012370 (2026)
[j709]Wensheng Gan, Zhenyao Ning, Zhenlian Qi
, Philip S. Yu:
Mixture of experts (MoE): A big data perspective. Inf. Fusion 127: 103664 (2026)
[j708]Jibing Gong, Jiquan Peng, Wei Wang, Wei Zhou, Chaozhuo Li, Philip S. Yu:
Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism. Inf. Fusion 127: 103733 (2026)
[j707]Mingying Xu
, Fei Hou, Jie Liu, Mengmei Zhang, Lei Shi, Feifei Kou, Lei Guo, Philip S. Yu, Xuming Hu:
Multimodal named entity recognition in the era of large pre-trained models: A comprehensive survey. Inf. Fusion 127: 103767 (2026)
[j706]Qingfeng Zhou
, Wensheng Gan
, Zhenlian Qi
, Philip S. Yu
:
Utility-Based Privacy-Preserving Data Mining. IEEE Internet Things J. 13(2): 2067-2084 (2026)
[j705]Yu Chen
, Wensheng Gan
, Junyu Ren
, Qingfeng Zhou
, Philip S. Yu
:
Privacy-Preserving Federated Mining of Top-K Frequent Itemsets Under Local Differential Privacy. IEEE Internet Things J. 13(15): 32703-32719 (2026)
[j704]Yiting Huang
, Yu-Ming Shang, Wei Huang
, Sanchuan Guo, Jinhu Chen, Xi Zhang
, Philip S. Yu
:
Discovering new intents via spatio-temporal pseudo-label denoising. Inf. Process. Manag. 63(2): 104381 (2026)
[j703]Yunkai Tang
, Guiling Li
, Zongda Wu, Philip S. Yu
:
SAformer: A time series anomaly detection model based on Similarity-Aware attention. Knowl. Based Syst. 344: 116087 (2026)
[j702]Chunkai Zhang, Jun Zhu, Quanjian Dai, Hanyu Zhang, Ryan Han-Yuan Zhang, Wensheng Gan, Philip S. Yu:
Utility-driven mining of contiguous sequences. Int. J. Mach. Learn. Cybern. 17(8): 380 (2026)
[j701]Zeyu Zhang
, Lu Li, Xingyu Ji, Kaiqi Zhao, Xiaofeng Zhu, Philip S. Yu
, Jiawei Li
, Maojun Wang
:
Enhancing signed graph neural networks through curriculum-based training. Neural Networks 193: 107975 (2026)
[j700]Bo Yu, Jiuman Song, Lele Cong, Xianling Cong, Jouke Dijkstra, Philip S. Yu, Hechang Chen:
A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation. Neural Networks 193: 107993 (2026)
[j699]Ling Huang
, Zhe-Yuan Li, Xiao-Dong Huang
, Yuefang Gao
, Chang-Dong Wang
, Philip S. Yu
:
Autoencoder-based contrastive learning for next basket recommendation. Neural Networks 194: 108166 (2026)
[j698]Fanlong Zeng
, Wensheng Gan
, Jiayang Wu
, Philip S. Yu
:
Pure node selection for imbalanced graph node classification. Neural Networks 196: 108315 (2026)
[j697]Junyu Ren
, Wensheng Gan
, Guangyu Zhang, Wei Zhong, Philip S. Yu
:
Global-focal adaptation with information separation for noise-robust transfer fault diagnosis. Neural Networks 203: 109112 (2026)
[j696]Denggao Qin, Xianghong Tang
, Jianguang Lu, Jing Yang, Philip S. Yu
:
Subgraph-Mamba: Subgraph Mamba model with positional encoding. Neural Networks 203: 109113 (2026)
[j695]Yi Wang
, Zhenghong Wang, Fan Zhang
, Chaogui Kang
, Sijie Ruan
, Di Zhu, Chengling Tang, Zhongfu Ma
, Weiyu Zhang, Yu Zheng
, Philip S. Yu
, Yu Liu
:
A Gravity-Informed Spatiotemporal Transformer for Human Activity Intensity Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 2380-2397 (2026)
[j694]Qingyun Sun
, Jiayi Luo, Haonan Yuan, Xingcheng Fu
, Hao Peng
, Jianxin Li
, Philip S. Yu
:
Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 2714-2730 (2026)
[j693]Wei Ju
, Siyu Yi
, Yifan Wang
, Zhiping Xiao
, Zhengyang Mao
, Hourun Li, Yiyang Gu
, Yifang Qin
, Nan Yin
, Senzhang Wang
, Xinwang Liu
, Philip S. Yu
, Ming Zhang
:
A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 3036-3055 (2026)
[j692]Hao Peng
, Xiang Huang
, Shuo Sun, Ruitong Zhang
, Xizhao Wang
, Philip S. Yu
:
Adaptive and Robust DBSCAN With Multi-Agent Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 48(4): 4860-4877 (2026)
[j691]Li Sun
, Zhenhao Huang
, Yujie Wang
, Hongbo Lv
, Chunyang Liu
, Hao Peng
, Philip S. Yu
:
ASIL: Augmented Structural Information Learning for Deep Graph Clustering in Hyperbolic Space. IEEE Trans. Pattern Anal. Mach. Intell. 48(6): 6817-6834 (2026)
[j690]Yazhou Ren
, Zichen Wen
, Junlong Ke
, Chenhang Cui, Yonghao Huang, Xinyue Chen
, Philip S. Yu
, Lifang He
:
Enhancing Multi-View Clustering: A Sufficient Information-Theoretic Approach for Consistency Acquisition and Redundancy Elimination. IEEE Trans. Pattern Anal. Mach. Intell. 48(7): 7420-7435 (2026)
[j689]Jingyun Zhang, Hao Peng, Jianxin Li, Angsheng Li, Philip S. Yu:
Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy. Proc. VLDB Endow. 19(11): 3497-3510 (2026)
[j688]Haoran Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu:
Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models. SIGKDD Explor. 28(1): 1-20 (2026)
[j687]Yunjiao Lei, Dayong Ye
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
LLM-Based Data Augmentation Method in Reinforcement Learning With Machine-Unlearning and Fine-Tuning. IEEE Trans. Big Data 12(2): 536-553 (2026)
[j686]Haihua Xie
, Miao He, Xiaoming Zhang, Lin Liu, Philip S. Yu
:
OpenNOD: Modeling Event-Driven Opinion Dynamics in Open Social Networks. IEEE Trans. Big Data 12(3): 921-935 (2026)
[j685]Zhenqiang Ye, Wensheng Gan
, Gengsen Huang, Tianlong Gu
, Philip S. Yu
:
Discovering High-Utility Sequential Rules With Increasing Utility Ratio. IEEE Trans. Big Data 12(4): 1480-1494 (2026)
[j684]Lixiang Xu
, Xianwei Ding
, Xin Yuan
, Zhanlong Wang
, Lu Bai
, Enhong Chen
, Philip S. Yu
, Yuanyan Tang
:
Improving Question Embeddings With Cognitive Representation Optimization for Knowledge Tracing. IEEE Trans. Cybern. 56(1): 235-248 (2026)
[j683]Yan Kang
, Zhuolun Li
, Bin Pu
, Xingbo Dong
, Jiewen Yang, Lei Zhao
, Benteng Ma, Ningshu Li, Jianguo Chen
, Philip S. Yu
:
Collaborative Coarse-to-Fine Disease Learning With Discharge Summary Awareness for EHR Event Prediction. IEEE Trans. Cybern. 56(5): 2489-2501 (2026)
[j682]Junyou Zhu
, Christian Nauck
, Michael Lindner
, Langzhou He, Philip S. Yu
, Klaus-Robert Müller
, Jürgen Kurths
, Frank Hellmann
:
Network Measure-Enriched GNNs: A New Framework for Power Grid Stability Prediction. IEEE Trans. Knowl. Data Eng. 38(1): 518-531 (2026)
[j681]Hanchen Yang
, Jiaqi Wang
, Jiannong Cao
, Wengen Li
, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan
, Shuigeng Zhou
, Philip S. Yu
:
OKG-LLM: Aligning Ocean Knowledge Graph With Observation Data via LLMs for Global Sea Surface Temperature Prediction. IEEE Trans. Knowl. Data Eng. 38(5): 3009-3021 (2026)
[j680]Han Chen
, Yuhua Li
, Yixiong Zou
, Keke Huang, Rui Zhang
, Ruixuan Li
, Philip S. Yu
:
Rethinking Graph Contrastive Learning for Heterophilic Graphs: An Effective Method for Heterophilic GCL Methods With Regularization and Stabilization Techniques Enhanced High-Pass Filter. IEEE Trans. Knowl. Data Eng. 38(5): 3065-3079 (2026)
[j679]Ronghui Xu
, Hao Miao
, Senzhang Wang
, Yan Zhao
, Bin Yang
, Yunjun Gao
, Philip S. Yu
, Christian S. Jensen
:
Bridging Cross-Domain Time Series: Efficient Federated Anomaly Detection With Sharded LLMs. IEEE Trans. Knowl. Data Eng. 38(6): 3416-3429 (2026)
[j678]Guoyang Wu
, Jiayang Sun
, Shenghao Liu
, Xianjun Deng
, Yuanyuan He
, Jing Wang
, Laurence T. Yang
, Philip S. Yu
:
Contrastive Learning for Modeling Sensitive Attributes in Fairness-Aware Recommendation. IEEE Trans. Knowl. Data Eng. 38(6): 3430-3443 (2026)
[j677]Chunkai Zhang
, Jiarui Deng, Maohua Lyu
, Wensheng Gan
, Philip S. Yu
:
High-Utility Sequential Rule Mining Utilizing Segmentation Guided by Confidence. IEEE Trans. Knowl. Data Eng. 38(6): 3696-3709 (2026)
[j676]Li Huang
, Yanzhe Xie
, Zizheng Wang, Qiang Gao
, Kunpeng Zhang
, Philip S. Yu
:
Understanding Interactive Stock Dynamics via Sensitivity-Aware Dependency Learning. IEEE Trans. Knowl. Data Eng. 38(6): 4032-4047 (2026)
[j675]Yixin Liu
, Shiyuan Li
, Yu Zheng
, Qingfeng Chen
, Chengqi Zhang
, Philip S. Yu
, Shirui Pan
:
From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 38(7): 4357-4372 (2026)
[j674]Xin Zheng
, Yi Wang
, Yixin Liu
, Ming Li
, Miao Zhang
, Di Jin
, Philip S. Yu
, Shirui Pan
:
Graph Neural Networks for Graphs With Heterophily: A Survey. IEEE Trans. Knowl. Data Eng. 38(7): 4385-4404 (2026)
[j673]Qinglin Tan
, He Li
, Xuejiao Li
, Jianbin Huang
, Jiangtao Cui
, Philip S. Yu
:
Mining Congestion Propagation Patterns in Urban Road Networks: A Reinforcement Learning Method. IEEE Trans. Knowl. Data Eng. 38(9): 5991-6003 (2026)
[j672]Longzhu He
, Peng Tang
, Chaozhuo Li
, Jinhu Fu, Litian Zhang, Li Sun
, Philip S. Yu
, Sen Su
:
Toward Personalized Differentially Private Learning for Decentralized Local Graphs. IEEE Trans. Knowl. Data Eng. 38(9): 6255-6269 (2026)
[j671]Qingyun Sun
, Haonan Yuan
, Yi Huang
, Ziwei Zhang
, Xingcheng Fu
, Ruijie Wang, Haoyi Zhou
, Jianxin Li
, Jia Wu
, Philip S. Yu
:
A Survey on Foundation Models for Structured Data: Tabular, Time Series, and Graphs. IEEE Trans. Knowl. Data Eng. 38(10): 6302-6320 (2026)
[j670]Qihua Feng
, Chunhui Duan
, Jiawei Xue
, Chaozhuo Li
, Feiran Huang
, Xi Zhang
, Jian Weng
, Philip S. Yu
:
Imbalanced Semi-Supervised Learning for WiFi Gesture Recognition via Dynamic Threshold-Based Spatio-Temporal Attention Networks. IEEE Trans. Mob. Comput. 25(1): 483-499 (2026)
[j669]Pengfei Yang
, Minyang Liu, Ting Zhong
, Fan Zhou
, Kunpeng Zhang
, Philip S. Yu
:
Interpolate-Then-Detect: A New Framework of FMCW Radar Object Detection With Frame Interpolation for Autonomous Driving. IEEE Trans. Mob. Comput. 25(8): 11646-11661 (2026)
[j668]Xi Chen, Siwei Zhang, Kangxiang Jia, Sijia Peng, Yuxuan Wang, Liang Su, Xinyi Huang, Jiarong Xu, Yun Xiong, Philip S. Yu:
A Survey on Behavioral Data Representation Learning. Trans. Mach. Learn. Res. 2026 (2026)
[j667]Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Eric Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu:
A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents. Trans. Mach. Learn. Res. 2026 (2026)
[j666]Yuntao Shou
, Tao Meng
, Wei Ai, Nan Yin, Senzhang Wang
, Philip S. Yu
, Keqin Li
:
Multi-Modal Hypergraphs Fusion With Consistency and Complementarity for Multi-Modal Emotion Recognition in Conversations. IEEE Trans. Multim. 28: 9202-9215 (2026)
[j665]Shuang Liang
, Lili Chen
, Wensheng Gan
, Philip S. Yu
, Shengjie Zhao
:
Targeted Mining of Time-Interval Related Patterns. IEEE Trans. Neural Networks Learn. Syst. 37(2): 937-950 (2026)
[j664]Dianzhi Yu
, Xinni Zhang
, Yankai Chen
, Aiwei Liu
, Yifei Zhang
, Philip S. Yu
, Irwin King
:
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. IEEE Trans. Neural Networks Learn. Syst. 37(9): 4014-4034 (2026)
[j663]Jingyun Zhang
, Hao Peng
, Mingdai Yang
, Philip S. Yu
:
Enhanced Pre-training for Recommendation via Hypergraph Structural Entropy. ACM Trans. Inf. Syst. 44(2): 39:1-39:48 (2026)
[j662]Jianguo Chen
, Zeju Cai
, Wenqing Chen
, Weicheng Wang, Zibin Zheng
, Philip S. Yu
:
A Federated Adaptive Large Language Model Fine-Tuning Framework for Software Development. IEEE Trans. Serv. Comput. 19(1): 32-43 (2026)
[j661]Man-Sheng Chen
, Li-An Ren, Wu-Dong Xi
, Chang-Dong Wang
, Philip S. Yu
:
Knowledge-Aware Clustering. IEEE Trans. Syst. Man Cybern. Syst. 56(2): 1165-1178 (2026)
[c1233]Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma
, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
:
S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. AAAI 2026: 354-362
[c1232]Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu:
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection. AAAI 2026: 25709-25717
[c1231]Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu:
Hyperbolic Continuous Structural Entropy for Hierarchical Clustering. AAAI 2026: 28094-28102
[c1230]Yuhang Chen, Tianpeng Lv, Yao Wan, Philip S. Yu, Dongping Chen:
Paper2Web: Let's Make Your Paper Alive! ACL (3) 2026: 578-585
[c1229]Shanghao Li, Jinda Han
, Yibo Wang, Yuanjie Zhu, Zihe Song, Langzhou He, Kenan Kamel A Alghythee, Philip S. Yu:
Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations. ACL (1) 2026: 19943-19956
[c1228]Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu
, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen:
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. ACL (Findings) 2026: 24297-24334
[c1227]Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu
, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen:
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. ACL (Findings) 2026: 24535-24574
[c1226]Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu:
FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning. ACL (1) 2026: 24945-24965
[c1225]Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li:
PersonaAgent: Bridging Memory and Action for Personalized LLM Agents. ACL (Findings) 2026: 26421-26439
[c1224]Yibo Wang, Congying Xia, Wenting Zhao, Jiangshu Du, Chunyu Miao, Zhongfen Deng, Philip S. Yu, Chen Xing:
MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms. ACL (Findings) 2026: 28151-28172
[c1223]Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang:
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents. ACL (1) 2026: 34647-34664
[c1222]Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Jizhou Guo, Yankai Chen, Chunyu Miao, Hoang H. Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Hanrong Zhang, Fangxin Wang, Pengfei Zhang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Philip S. Yu:
LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey. ACL (Findings) 2026: 36335-36364
[c1221]Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu:
Many-Shot Scaling of In-Context Learning with Self-Generated Demonstrations. ACL (Findings) 2026: 40494-40508
[c1220]Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Yinghui Li, Renhe Jiang, Philip S. Yu:
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. ACL (1) 2026: 43403-43446
[c1219]Yiyang Gu, Junwei Yang, Junyu Luo, Ye Yuan, Bin Feng, Yingce Xia, Shufang Xie, Kaili Liu, Bohan Wu, Qi Shi, Haoran Li, Beier Xiao, Zhiping Xiao, Xiao Luo, Weizhi Zhang, Philip S. Yu, Zequn Liu, Ming Zhang:
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models. ACL (1) 2026: 45661-45678
[c1218]Qili Zhang, Qianren Mao, Yangyifei Luo, Yashuo Luo, Hanwen Hao, Zhilong Cao, Weifeng Jiang, Zhijun Chen, Junnan Liu, Feng Yan, Xiaolong Wang, Jinlong Zhang, Zhenting Huang, Zhixing Tan, Jie Sun, Bo Li, Jianxin Li, Philip S. Yu:
XRAG: Examining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation. ICDE 2026: 2697-2710
[c1217]Yankai Chen, Xinni Zhang, Henry Peng Zou, Bowei He, Yangning Li, Philip S. Yu, Irwin King, Xue Liu:
Adversarial Encoding Perturbation and Synthesis for Set Representation Auxiliary Learning. ICLR 2026
[c1216]Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu:
MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection. ICLR 2026
[c1215]Yiyang Gu, Wenrui Wu, Yifang Qin, Taian Guo, Tao Zhe, Jiaru Tang, Zhiping Xiao, Weizhi Zhang, Ziyue Qiao, Wei Ju, Dongjie Wang, Xiao Luo, Philip S. Yu, Ming Zhang:
PRISM: Partial-label Relational Inference with Spatial and Spectral Cues. ICLR 2026
[c1214]Yi Gui, Jiawan Zhang, Yina Wang, Tianran Ma, Yao Wan, Shilin He, Dongping Chen, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Philip S. Yu:
Figma2Code: Automating Multimodal Design to Code in the Wild. ICLR 2026
[c1213]Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip S. Yu, Xue Liu, Chen Ma:
Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation. ICLR 2026
[c1212]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Jiayi Ye, Yujun Zhou, Yanbo Wang, Jiawen Shi, Qihui Zhang, Han Bao, Zhaoyi Liu, Yuan Li, Tianrui Guan, Peiran Wang, Haomin Zhuang, Dongping Chen, Kehan Guo, Andy Zou, Bryan Hooi, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jieyu Zhang, Jaehong Yoon, Kai Shu, Ranjay Krishna, Swabha Swayamdipta, Weijia Shi, Xiang Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen-Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Dawn Song, Xiangliang Zhang:
TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models. ICLR 2026
[c1211]Jiayi Kuang, Yinghui Li, Xin Zhang, Yangning Li, Di Yin, Xing Sun, Ying Shen, Philip S. Yu:
Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents. ICLR 2026
[c1210]Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Xue Liu, Irwin King, Philip S. Yu:
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback. ICLR 2026
[c1209]Li Sun, Zhenhao Huang, Silei Chen, Lanxu Yang, Junda Ye, Sen Su, Philip S. Yu:
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models. ICLR 2026
[c1208]Zhiping Xiao, Yusheng Zhao, Qixin Zhang, Jiaye Xie, Wanjia Zhao, Weizhi Zhang, Xiao Luo, Philip S. Yu, Ming Zhang:
Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning. ICLR 2026
[c1207]Guanmeng Xian
, Ning Yang, Philip S. Yu:
Band Together: Untargeted Adversarial Training with Multimodal Coordination Against Evasion-Based Promotion Attacks. IJCAI/ECAI 2026: 3124-3132
[c1206]Guanmeng Xian
, Ning Yang, Philip S. Yu:
Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment. IJCAI/ECAI 2026: 5074-5082
[c1205]Jizhou Guo
, Zhaomin Wu
, Hanchen Yang
, Philip S. Yu
:
Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling. KDD (1) 2026: 371-382
[c1204]Longzhu He
, Chaozhuo Li
, Peng Tang
, Li Sun
, Sen Su
, Philip S. Yu
:
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. KDD (1) 2026: 395-406
[c1203]Kaiwen Xia
, Li Lin
, Qi Zhang
, Xinrui Zhang
, Shuai Wang
, Xuming Hu
, Philip S. Yu
:
CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity. KDD (1) 2026: 1626-1637
[c1202]Lingwei Wei
, Dou Hu
, Li Sun
, Chengze Li
, Wei Zhou
, Songlin Hu
, Philip S. Yu
:
Geometry-aware Test-Time Adaptation on Graphs. KDD (2) 2026: 5280-5290
[c1201]Chin-Yuan Yeh
, Wei-Chieh Huang
, Hsi-Wen Chen
, Chen Wang
, De-Nian Yang
, Wang-Chien Lee
, Philip S. Yu
, Ming-Syan Chen
:
AMOS: Active Mining with Observable Steps for Agenda-Driven Review Knowledge Discovery. KDD (2) 2026: 6211-6222
[c1200]Zijing Liu
, Xinni Zhang
, Yankai Chen
, Bin Feng
, Mingjun Yang
, Zenglin Xu
, Yu Li
, Philip S. Yu
, Irwin King
:
Incorporating 3D Structural Information for Activity Cliff Analysis. KDD (2) 2026: 11552-11563
[c1199]Philip S. Yu
, Li Sun
:
Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence. KDD (2) 2026: 13265-13271
[c1198]Ruijie Wang
, Qingkai Zeng
, Xuefei Wang
, Yutong Ye
, Li Sun
, Jianxin Li
, Philip S. Yu
:
From Generic Intelligence to Personalized AI: A Tutorial on Foundations of LLM Personalization. KDD (2) 2026: 13370-13374
[c1197]Sijie Ruan
, Yu Zheng
, Yuxuan Liang
, Chuishi Meng
, Yanhua Li
, Jieping Ye
, Philip S. Yu
:
The 15th International Workshop on Urban Computing. KDD (2) 2026: 13433-13434
[c1196]Qingyun Sun
, Ziwei Zhang
, Xingcheng Fu
, Lingjuan Lyu
, Yangqiu Song
, Jianxin Li
, Philip S. Yu
:
2nd Workshop on Frontiers in Graph Machine Learning for the Large Model Era. KDD (2) 2026: 13437-13438
[c1195]Qingsong Wen
, Prakhar Mehrotra
, Yongfeng Zhang
, Zhiwei Liu
, Julian J. McAuley
, Hua Wei
, Linsey Pang
, Jialie Shen
, Wei Liu
, Philip S. Yu
:
The 5th Workshop on AI Agent for Information Retrieval: Generating and Ranking. KDD (2) 2026: 13445-13446
[c1194]Chen Wang
, Mingdai Yang
, Zhiwei Liu
, Pan Li
, Linsey Pang
, Qingsong Wen
, Philip S. Yu
:
AGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems. WSDM Companion 2026: 154-158
[c1193]Li Sun
, Ming Zhang
, Wenxin Jin
, Zhongtian Sun
, Zhenhao Huang
, Hao Peng
, Sen Su
, Philip S. Yu
:
Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger. WWW 2026: 1092-1103
[c1192]Qitong Liu
, Hao Peng
, Zuchen Li
, Xihang Meng
, Ziyu Yang
, Jiting Li
, Li Sun
, Philip S. Yu
:
Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy. WWW 2026: 4529-4540
[c1191]Xiongxiao Xu
, Haoran Wang
, Yueqing Liang
, Philip S. Yu
, Yue Zhao
, Kai Shu
:
Can Multimodal LLMs Perform Time Series Anomaly Detection? WWW 2026: 5392-5403
[c1190]Mingdai Yang
, Nurendra Choudhary
, Jiangshu Du
, Edward W. Huang
, Philip S. Yu
, Karthik Subbian
, Danai Koutra
:
AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. WWW 2026: 6230-6241
[e42]Feida Zhu
, Philip S. Yu
, Akiyo Nadamoto
, Ee-Peng Lim
, Kyuseok Shim, Wei Ding
, Bingxue Zhang
:
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, May 26-29, 2025, Proceedings, Part I. Lecture Notes in Computer Science 15986, Springer 2026, ISBN 978-981-95-3826-3 [contents]
[e41]Feida Zhu
, Philip S. Yu
, Akiyo Nadamoto, Ee-Peng Lim
, Kyuseok Shim, Wei Ding
, Bingxue Zhang
:
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15987, Springer 2026, ISBN 978-981-95-3829-4 [contents]
[e40]Feida Zhu
, Philip S. Yu
, Akiyo Nadamoto, Ee-Peng Lim
, Kyuseok Shim, Wei Ding
, Bingxue Zhang
:
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part III. Lecture Notes in Computer Science 15988, Springer 2026, ISBN 978-981-95-3905-5 [contents]
[e39]Feida Zhu
, Philip S. Yu
, Akiyo Nadamoto
, Ee-Peng Lim
, Kyuseok Shim, Wei Ding
, Bingxue Zhang
:
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, May 26-29, 2025, Proceedings, Part IV. Lecture Notes in Computer Science 15989, Springer 2026, ISBN 978-981-95-4148-5 [contents]
[e38]Feida Zhu
, Philip S. Yu
, Akiyo Nadamoto, Ee-Peng Lim
, Kyuseok Shim, Wei Ding
, Bingxue Zhang
:
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part V. Lecture Notes in Computer Science 15990, Springer 2026, ISBN 978-981-95-4154-6 [contents]
[e37]Feida Zhu
, Philip S. Yu
, Akiyo Nadamoto, Ee-Peng Lim
, Kyuseok Shim, Wei Ding
, Bingxue Zhang
:
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part VI. Lecture Notes in Computer Science 15991, Springer 2026, ISBN 978-981-95-4157-7 [contents]
[i746]Lili Chen, Wensheng Gan, Shuang Liang, Philip S. Yu:
Enhancing Temporal Awareness in LLMs for Temporal Point Processes. CoRR abs/2601.00845 (2026)
[i745]Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu:
FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning. CoRR abs/2601.03938 (2026)
[i744]Qitong Liu, Hao Peng, Zuchen Li, Xihang Meng, Ziyu Yang, Jiting Li, Li Sun, Philip S. Yu:
Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy. CoRR abs/2601.12035 (2026)
[i743]Daixian Liu, Jiayi Kuang, Yinghui Li, Yangning Li, Di Yin, Haoyu Cao, Xing Sun, Ying Shen, Hai-Tao Zheng, Liang Lin, Philip S. Yu:
TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning. CoRR abs/2601.16520 (2026)
[i742]Yusheng Zhao, Jiaye Xie, Qixin Zhang, Weizhi Zhang, Xiao Luo, Zhiping Xiao, Philip S. Yu, Ming Zhang:
DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise. CoRR abs/2601.17449 (2026)
[i741]Zhixiao Wang, Chaofan Zhu, Qihan Feng, Jian Zhang, Xiaobin Rui, Philip S. Yu:
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance. CoRR abs/2601.19352 (2026)
[i740]Jiahao Huo, Yu Huang, Yibo Yan, Ye Pan, Yi Cao, Mingdong Ou, Philip S. Yu, Xuming Hu:
CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding. CoRR abs/2601.21262 (2026)
[i739]Zhenqiang Ye, Wensheng Gan, Gengsen Huang, Tianlong Gu, Philip S. Yu:
Discovering High-utility Sequential Rules with Increasing Utility Ratio. CoRR abs/2601.22178 (2026)
[i738]Chunkai Zhang, Jiarui Deng, Maohua Lyu, Wensheng Gan, Philip S. Yu:
High-utility Sequential Rule Mining Utilizing Segmentation Guided by Confidence. CoRR abs/2601.22179 (2026)
[i737]Jie Yang, Yifan Hu, Yuante Li, Kexin Zhang, Kaize Ding, Philip S. Yu:
From Observations to States: Latent Time Series Forecasting. CoRR abs/2602.00297 (2026)
[i736]Pengyu Zhu, Li Sun, Philip S. Yu, Sen Su:
The Necessity of a Unified Framework for LLM-Based Agent Evaluation. CoRR abs/2602.03238 (2026)
[i735]Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu:
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR abs/2602.06052 (2026)
[i734]Qianren Mao, Yashuo Luo, Ziqi Qin, Junnan Liu, Weifeng Jiang, Zhijun Chen, Zhuoran Li, Likang Xiao, Chuou Xu, Qili Zhang, Hanwen Hao, Jingzheng Li, Chunghua Lin, Jianxin Li, Philip S. Yu:
NanoNet: Parameter-Efficient Learning with Label-Scarce Supervision for Lightweight Text Mining Model. CoRR abs/2602.06093 (2026)
[i733]Chenxu Wang, Chaozhuo Li, Songyang Liu, Zejian Chen, Jinyu Hou, Ji Qi, Rui Li, Litian Zhang, Qiwei Ye, Zheng Liu, Xu Chen, Xi Zhang, Philip S. Yu:
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies. CoRR abs/2602.09877 (2026)
[i732]Li Sun, Qiqi Wan, Suyang Zhou, Zhenhao Huang, Philip S. Yu:
RiemannGL: Riemannian Geometry Changes Graph Deep Learning. CoRR abs/2602.10982 (2026)
[i731]Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip S. Yu, Xue Liu, Chen Ma:
Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation. CoRR abs/2602.12172 (2026)
[i730]Wensheng Gan, Gengsen Huang, Junyu Ren, Philip S. Yu:
Guided Exploration of Sequential Rules. CoRR abs/2602.16717 (2026)
[i729]Hong Lin, Wensheng Gan, Junyu Ren, Philip S. Yu:
UPER: Efficient Utility-driven Partially-ordered Episode Rule Mining. CoRR abs/2602.16718 (2026)
[i728]Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Philip S. Yu, Shirui Pan:
From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection. CoRR abs/2602.18793 (2026)
[i727]Yibo Yan, Jiahao Huo, Guanbo Feng
, Mingdong Ou, Yi Cao, Xin Zou, Shuliang Liu, Yuanhuiyi Lyu, Yue Huang, Jungang Li, Kening Zheng, Xu Zheng, Philip S. Yu, James Kwok, Xuming Hu:
Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval. CoRR abs/2602.19961 (2026)
[i726]Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Henry Peng Zou, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue:
Actor-Curator: Co-adaptive Curriculum Learning via Policy-Improvement Bandits for RL Post-Training. CoRR abs/2602.20532 (2026)
[i725]Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long:
BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. CoRR abs/2602.23630 (2026)
[i724]Li Sun, Min Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu:
Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger. CoRR abs/2603.00599 (2026)
[i723]Li Sun, Lanxu Yang, Jiayu Tian
, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu:
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection. CoRR abs/2603.00602 (2026)
[i722]Li Sun, Zhenhao Huang, Silei Chen, Lanxu Yang, Junda Ye, Sen Su, Philip S. Yu:
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models. CoRR abs/2603.00618 (2026)
[i721]Yinghui Li, Jiayi Kuang, Peng Xing, Daixian Liu, Junnan Dong
, Shu-Yu Guo, Yangning Li, Qingyu Zhou, Wenhao Jiang, Hai-Tao Zheng, Ying Shen, Liang Lin, Philip S. Yu:
Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding. CoRR abs/2603.18472 (2026)
[i720]Philip S. Yu, Li Sun:
Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence. CoRR abs/2603.21601 (2026)
[i719]Weizhi Zhang, Xiaokai Wei, Wei-Chieh Huang, Zheng Hui, Chen Wang, Michelle Gong, Philip S. Yu:
MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization. CoRR abs/2603.25973 (2026)
[i718]Huacan Wang, Chaofa Yuan, Xialie Zhuang
, Tu Hu, Shuo Zhang, Jun Han, Shi Wei, Daiqiang Li, Jingping Liu, Kunyi Wang, Zihan Yin, Zhenheng Tang, Andy Wang, Henry Peng Zou, Philip S. Yu, Sen Hu, Qizhen Lan, Ronghao Chen:
EpochX: Building the Infrastructure for an Emergent Agent Civilization. CoRR abs/2603.27304 (2026)
[i717]Fangxin Wang, Peyman Baghershahi, Langzhou He, Henry Peng Zou, Sourav Medya, Philip S. Yu:
Two-Stage Optimizer-Aware Online Data Selection for Large Language Models. CoRR abs/2604.00001 (2026)
[i716]Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Enze Ma, Leyi Pan, Chunyu Miao, Wei-Chieh Huang, Xue (Steve) Liu, Philip S. Yu:
Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models. CoRR abs/2604.00375 (2026)
[i715]Henry Peng Zou, Chunyu Miao, Wei-Chieh Huang, Yankai Chen, Yue Zhou, Hanrong Zhang, Yaozu Wu, Liancheng Fang, Zhengyao Gu, Zhen Zhang, Kening Zheng, Fangxin Wang, Yi Nian, Shanghao Li, Wenzhe Fan, Langzhou He, Weizhi Zhang, Xue (Steve) Liu, Philip S. Yu:
When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation. CoRR abs/2604.00892 (2026)
[i714]Hanrong Zhang, Shicheng Fan, Henry Peng Zou, Yankai Chen, Zhenting Wang, Jiayu Zhou, Chengze Li, Wei-Chieh Huang, Yifei Yao, Kening Zheng, Xue Liu, Xiaoxiao Li, Philip S. Yu:
CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification. CoRR abs/2604.01687 (2026)
[i713]Kening Zheng, Wei-Chieh Huang, Jiahao Huo, Zhonghao Li, Henry Peng Zou, Yibo Yan, Xin Zou, Jungang Li, Junzhuo Li, Hanrong Zhang, Xuming Hu, Philip S. Yu:
Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation. CoRR abs/2604.03592 (2026)
[i712]Yingguang Yang, Hao Liu, Xin Zhang, Yunhui Liu, Yutong Xia, Qi Wu, Hao Peng, Taoran Liang, Bin Chong, Tieke He, Philip S. Yu:
FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation. CoRR abs/2604.10678 (2026)
[i711]Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang:
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents. CoRR abs/2604.12285 (2026)
[i710]Junyu Ren, Xingjian Pan, Wensheng Gan, Philip S. Yu:
DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection. CoRR abs/2604.12548 (2026)
[i709]Yi Gui, Jiawan Zhang, Yina Wang, Tianran Ma, Yao Wan, Shilin He
, Dongping Chen, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Philip S. Yu:
Figma2Code: Automating Multimodal Design to Code in the Wild. CoRR abs/2604.13648 (2026)
[i708]Wei He, Wensheng Gan, Philip S. Yu:
Graph-Based Fraud Detection with Dual-Path Graph Filtering. CoRR abs/2604.14235 (2026)
[i707]Yutong Ye, Weilong Ren, Yang Liu, Mengyi Yan, Ruijie Wang, Li Sun, Jianxin Li, Philip S. Yu:
LIVE: Learnable Monotonic Vertex Embedding for Efficient Exact Subgraph Matching (Technical Report). CoRR abs/2604.19116 (2026)
[i706]Junyu Ren, Wensheng Gan, Philip S. Yu:
Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis. CoRR abs/2604.20928 (2026)
[i705]Jiahong Cai, Wensheng Gan, Philip S. Yu:
Cross-level Privacy Preserving Utility Mining. CoRR abs/2605.00036 (2026)
[i704]Guanmeng Xian, Ning Yang, Philip S. Yu:
Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment. CoRR abs/2605.02183 (2026)
[i703]Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Liancheng Fang, Kening Zheng, Hongyi Liu, Xiaosong Huang, Philip S. Yu, Ying Li:
Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning. CoRR abs/2605.04431 (2026)
[i702]Guanmeng Xian, Ning Yang, Philip S. Yu:
Band Together: Untargeted Adversarial Training with Multimodal Coordination against Evasion-based Promotion Attacks. CoRR abs/2605.06238 (2026)
[i701]Shawn Li, Chenxiao Yu, Han Wang, Wei Yang, Ryan Rossi, Franck Dernoncourt, Xiyang Hu
, Philip S. Yu, Chaowei Xiao, Huan Zhang, Yue Zhao
:
FORTIS: Benchmarking Over-Privilege in Agent Skills. CoRR abs/2605.09163 (2026)
[i700]Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Jianxin Li, Philip S. Yu:
Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models. CoRR abs/2605.13540 (2026)
[i699]Langzhou He, Jun Zhu, Yue Zhou, Zhengyao Gu, Junhua Liu, Wei-Chieh Huang, Henry Peng Zou, David Wipf, Philip S. Yu, Qitian Wu:
Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy. CoRR abs/2605.14558 (2026)
[i698]Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Zixuan Xie, Chiming Duan, Minghua He, Philip S. Yu, Ying Li:
From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery. CoRR abs/2605.15412 (2026)
[i697]Haolin Chen, Deon Metelski, Leon Qi, Tao Xia, Joonyul Lee, Steve Brown, Kevin Riley, Frank Wang, T. Y. Alvin Liu, Hank Capps MD, Zeyu Tang, Xiangchen Song, Lingjing Kong, Fan Feng, Tianyi Zeng, Zhiwei Liu, Zixian Ma, Hang Jiang, Fangli Geng, Yuan Yuan, Chenyu You, Qingsong Wen, Hua Wei, Yanjie Fu, Yue Zhao
, Carl Yang, Biwei Huang, Kun Zhang, Caiming Xiong, Sanmi Koyejo, Eric P. Xing, Philip S. Yu, Weiran Yao:
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? CoRR abs/2605.16679 (2026)
[i696]Yiyang Gu, Junwei Yang, Junyu Luo, Ye Yuan, Bin Feng, Yingce Xia, Shufang Xie, Kaili Liu
, Bohan Wu, Qi Shi, Haoran Li, Beier Xiao, Zhiping Xiao, Xiao Luo, Weizhi Zhang, Philip S. Yu, Zequn Liu, Ming Zhang:
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models. CoRR abs/2605.19357 (2026)
[i695]Kaiwen Luo, Zhenhong Zhou, Leo Wang, Liang Lin, Yang Xiao, Tianyu Shao, Yuanhe Zhang, Yuxuan Li, Miao Yu, Kailin Lyu, Jiaming Zhang, Dongrui Liu, Li Sun, Yueming Wu, Kai Li, Ting Dang, Xiaojun Jia
, Rohan Kumar Das, Xinfeng Li, Siyuan Liang, Qiufeng Wang, Xingjun Ma, Jing Chen, Kun Wang, Junhao Dong, Deqing Zou, Yu Cheng, Xia Hu, Zhigang Zeng, Sen Su, Yang Liu, Yu-Gang Jiang, Philip S. Yu, Yew-Soon Ong:
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook. CoRR abs/2605.20266 (2026)
[i694]Chengze Li, Xiao Liu, Hanrong Zhang, Haiyang Peng, Yanghao Ruan, Huanhuan Ma, Chunyu Miao, Qichao Zhou, Xiangrong Qi, Philip S. Yu:
A Deployment Audit of Release-Side Risk in Conformal Triage under Prevalence Shift. CoRR abs/2605.20956 (2026)
[i693]Chengze Li, Lingwei Wei, Li Sun, Hongbo Lv, Jie Yang, Hanrong Zhang, Kening Zheng, Wei-Chieh Huang, Enze Ma, Philip S. Yu:
ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models. CoRR abs/2605.22222 (2026)
[i692]Guiyao Tie, Jiawen Shi, Dingjie Song, Yixiao Huang, Ziji Sheng, Xueyang Zhou, Daizong Liu, Pan Zhou, Yongchao Chen, Ran Xu, Lifang He, Qingsong Wen, Manling Li, Cong Lu, Shuai Li, Pengtao Xie, Yixuan Yuan, Rui Meng, Lei Xing, Lichao Sun, Caiming Xiong, Philip S. Yu, Jianfeng Gao:
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery. CoRR abs/2605.23204 (2026)
[i691]Jiahao Huo, Wenjie Qu, Yibo Yan, Kening Zheng, Jiaheng Zhang, Xuming Hu, Philip S. Yu, Mingxun Zhou:
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness. CoRR abs/2605.25796 (2026)
[i690]Shanghao Li, Jinda Han, Yibo Wang, Yuanjie Zhu, Zihe Song, Langzhou He, Kenan Kamel A Alghythee, Philip S. Yu:
Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations. CoRR abs/2605.26362 (2026)
[i689]Shang Luo, Yingguang Yang, Zhenchen Sun, Yang Liu, Bin Chong, Jingru Chen, Yancheng Chen, Jiayu Liang, Kefu Xu, Hao Peng, Philip S. Yu:
ExTax: Explainable Disinformation Detection via Persuasion, Emotion, and Narrative Role Taxonomies. CoRR abs/2605.27045 (2026)
[i688]Haoxuan Jia, Yang Liu, Bin Chong, Yingguang Yang, Yancheng Chen, Jiayu Liang, Qian Li, Hanning Lu, Kefu Xu, Hao Zheng, Chongyang Zhang, Hao Peng, Philip S. Yu:
FinHarness: An Inline Lifecycle Safety Harness for Finance LLM Agents. CoRR abs/2605.27333 (2026)
[i687]Weizhi Zhang, Wooseong Yang, Yuxin Cui, Zhaohui Guo, Hins Hu, Liangwei Yang, Henry Peng Zou, Qifei Wang, Hanqing Zeng, Jiayi Liu, Yinglong Xia, Philip S. Yu:
Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback. CoRR abs/2605.29141 (2026)
[i686]Shicheng Fan, Haochang Hao, Dehai Min, Weihao Liu, Philip S. Yu, Lu Cheng:
Verifiable Rewards Beyond Math and Code: Lightweight Corpus-Grounded Process Supervision for Factual Question Answering. CoRR abs/2605.29648 (2026)
[i685]Yankai Chen, Hanrong Zhang, Bowei He, Philip S. Yu, Xue Liu:
Distributionally Robust Set Representation Learning Under Inference-Time Element Corruption. CoRR abs/2605.30089 (2026)
[i684]Yibo Wang, Nikki Lijing Kuang, Philip S. Yu, Zhewei Yao, Yuxiong He:
Learning to Retrieve: Dual-Level Long-Term Memory for Text-to-SQL Agents. CoRR abs/2606.00547 (2026)
[i683]Li Sun, Zhenhao Huang, Yiding Wang, Qin Chen, Pietro Lio, Philip S. Yu:
Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles. CoRR abs/2606.03270 (2026)
[i682]Zhiling Yan, Dingjie Song, Hanrong Zhang, Wei Liang, Yuxuan Zhang, Yutong Dai, Lifang He, Philip S. Yu, Ran Xu, Xiang Li, Lichao Sun:
OpenSkill: Open-World Self-Evolution for LLM Agents. CoRR abs/2606.06741 (2026)
[i681]Yen-Hsin Hsu, Ya-Wen Teng, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen:
Quantum Computing and Data Processing for Frequent Itemset Mining. CoRR abs/2606.09209 (2026)
[i680]Yongheng Zhang, Ziang Liu, Jiaxuan Zhu, Shuai Wang, Xiangqi Chen, Haojing Huang, Jiayi Kuang, Siyu Chen, Ao Shen, Hao Wu, Qiufeng Wang, Qian-Wen Zhang, Junnan Dong
, Wenhao Jiang, Ying Shen, Hai-Tao Zheng, Yinghui Li, Di Yin, Xing Sun, Philip S. Yu:
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI. CoRR abs/2606.14502 (2026)
[i679]Weizhi Zhang, Zechen Li, Hamid Palangi, Benjamin Graef, A. Ali Heydari, Simon A. Lee, Salman Rahman, Ray Luo, Zeinab Esmaeilpour, Erik Schenck, Chloe Zhang, Yamin Li, Menglian Zhou, Philip S. Yu, Daniel McDuff, Lindsey Sunden, Mark Malhotra, Shwetak N. Patel, Ahmed A. Metwally:
RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills. CoRR abs/2606.18203 (2026)
[i678]Enze Ma, Yufan Zhou, Wei-Chieh Huang, Jie Yang, Huanhuan Ma, Zixuan Wang, Chengze Li, Chunyu Miao, Philip S. Yu, Zhen Wang:
MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery. CoRR abs/2606.24595 (2026)
[i677]Yongheng Zhang, Zhipeng Xu, Hao Wu, Yinghui Li, Di Yin, Xing Sun, Philip S. Yu:
Latent Visual Cache for Video Reasoning. CoRR abs/2607.02607 (2026)
[i676]Yaozu Wu, Wei-Chieh Huang, Jizhou Guo, Dongyuan Li, Renhe Jiang, Henry Peng Zou, Chunyu Miao, Shanghao Li, Weizhi Zhang, WeiWei Ye, Yankai Chen, Meng Zhang, Xue Liu, Philip S. Yu:
HAS-Bench: Evaluating LLM-Based Human-Agent Systems under Configurable Human Participation. CoRR abs/2607.04329 (2026)
[i675]Longzhu He, Peng Tang, Chaozhuo Li, Jinhu Fu, Litian Zhang, Li Sun, Philip S. Yu, Sen Su:
Towards Personalized Differentially Private Learning for Decentralized Local Graphs. CoRR abs/2607.04777 (2026)
[i674]Jingyun Zhang, Hao Peng, Jianxin Li, Angsheng Li, Philip S. Yu:
Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy. CoRR abs/2607.05469 (2026)
[i673]Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Shanghao Li, Zihe Song, Philip S. Yu:
BlockServe: Block-Grained Continuous Batching for High-Throughput Diffusion LLM Serving. CoRR abs/2607.08930 (2026)
[i672]Chengcheng Sun, Jiayun Tian, Cheng Zhai, Zhixiao Wang, Yajie Song, Xiaobin Rui, Jian Zhang, Philip S. Yu:
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey. CoRR abs/2607.09666 (2026)
[i671]Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu, Philip S. Yu:
Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability. CoRR abs/2607.10402 (2026)
[i670]Ye Yuan, Weien Li, Rui Song, Zeyu Li, Haochen Liu
, Xiangyu Kong, Zixuan Dong, Linfeng Du
, Zipeng Sun, Weixu Zhang, Jiaxin Huang, Changjiang Han, Yonghan Yang, Zichen Zhao, Xiuyuan Hu, Haolun Wu, Yankai Chen, Fengran Mo, Jikun Kang, Bowei He, Philip S. Yu, Xue Liu:
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation. CoRR abs/2607.13431 (2026)
[i669]Zijie Yu, Gaowen Liu, Ramana Rao Kompella, Philip S. Yu, Yue Song:
The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model. CoRR abs/2607.13660 (2026)
[i668]Pu Li, Yantuan Xian, Hao Peng, Huafeng Li, Zhengtao Yu, Yan Xiang, Philip S. Yu:
Comprehensive, Efficient Large-Scale Community Detection via Structural Entropy Game. CoRR abs/2607.13713 (2026)
[i667]Chengcheng Sun, Yajie Song, Cheng Zhai, Jiayun Tian, Jia Yang, Xiaobin Rui, Jian Zhang, Zhixiao Wang, Philip S. Yu:
A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges. CoRR abs/2607.16198 (2026)
[i666]Jingzheng Li, Yufei Ge, Zhijun Chen, Qianren Mao, Zizhe Wang, Binhang Qi, Bing Li, Keyu Chen, Baochang Zhang, Xianglong Liu, Philip S. Yu:
End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation. CoRR abs/2607.18637 (2026)
[i665]Mingdai Yang, Zhiwei Liu, Weizhi Zhang, Yibo Wang, Hao Peng, Philip S. Yu:
Personalized Recommendation Tool Learning via Autonomous Language Agents. CoRR abs/2607.19739 (2026)
[i664]Mingdai Yang, Shicheng Fan, Kejing Yu, Duohao Wang, Li Sun, Hao Peng, Philip S. Yu, Zhiwei Liu:
Paying for Honesty Without Knowing the Truth: Reputation-Penalty Design for LLM Marketplace Agents. CoRR abs/2607.28330 (2026)
[i663]Shicheng Fan, Mingdai Yang, Duohao Wang, Canyu Chen, Yongfeng Zhang, Hua Wei, Manling Li, Julian J. McAuley, Kun Zhang, Philip S. Yu, Kejing Yu, Zhiwei Liu:
Agentic Commerce World: An Auditable and Verifiable Environment for Vibe Commerce. CoRR abs/2608.02441 (2026)
[i662]Fangxu Yu, Tao Feng, Dehai Min, Zinan Lin, Weijia Xu, Michael Xu, Philip S. Yu, Ge Liu, Tianyi Zhou:
Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning. CoRR abs/2608.02831 (2026)
[i661]Fangxin Wang, Ziyi Zhang, Diyi Zhuang, Langzhou He, Shiyu Wang, Baichuan Mo, Philip S. Yu:
When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters. CoRR abs/2608.05207 (2026)
[i660]Wooseong Yang, Wei-Chieh Huang, Weizhi Zhang, Yu Wang, Philip S. Yu, Junhyun Lee:
XBridge: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication. CoRR abs/2608.11676 (2026)
[i659]Haoran Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu:
Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models. CoRR abs/2608.14797 (2026)
[i658]Wei-Chieh Huang, Weizhi Zhang, Yuchen Wu, Yankai Chen, Eric Hanchen Jiang, Wooseong Yang, Yiwei Yang, Henry Peng Zou, Hanrong Zhang, Ying Nian Wu, Haolun Wu, Kai-Wei Chang, Philip S. Yu, Xue Liu, Aylin Caliskan:
Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents. CoRR abs/2608.15008 (2026)
[i657]Jialun Zheng, Hanchen Yang, Jiannong Cao, Yankai Chen, Yuanjing Feng, Philip S. Yu:
Online Test-Time Adaptation for Generalizable Dynamic Graph Anomaly Detection. CoRR abs/2608.19858 (2026)
[i656]Huanhuan Ma, Henry Peng Zou, Chengze Li, Enze Ma, Yunyue Su, Philip S. Yu:
Sycophancy Suppression Can Impair Rational Updating: Anti-Sycophancy Should Preserve the Ability to Update. CoRR abs/2608.26511 (2026)
[i655]Jiayi Kuang, Yinghui Li, Yunze Song, Keyu Chen, Zhifeng Shen, Yangning Li, Yidong Wang, Di Yin, Ruizhi Qiao, Xing Sun, Kai Jin, Ying Shen, Liang Lin, Philip S. Yu:
From Atomic to Agentic: Towards Interpretable Evaluation of LLMs' Agentic Mathematical Capabilities. CoRR abs/2608.26950 (2026)
[i654]Haoxuan Jia, Yang Liu, Yingguang Yang, Yancheng Chen, Chongyang Zhang, Hao Zheng, Qian Li, Yulin Huang, Jianshen Zhang, Yongzhi Qi, Shang Luo, Kefu Xu, Hao Peng, Junyu Lu, Du Cheng, Philip S. Yu, Bin Chong:
Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit. CoRR abs/2608.29605 (2026)
[i653]Dingjie Song, Hanrong Zhang, Dawei Liu, Yixin Liu, Zongxia Li, Zhengqing Yuan, Siqi Zhang, Henry Peng Zou, Zhiling Yan, Yuxuan Zhang, Yanfang Ye, Philip S. Yu, Lichao Sun:
Dr. Claw: An AI Scientist Workspace for Vibe Research. CoRR abs/2609.00365 (2026)
[i652]Kening Zheng, Aoying Zheng, Zhigang Chang, Yazhi Guo, Miaotian Guo, Qingwei Zong, Xianhai Xie, Weiqiang Jin, Chengze Li, Hanrong Zhang, Jie Yang, Wei-Chieh Huang, Lingzhe Zhang, Liancheng Fang, Xin Zou, Hanqian Li, Jiahao Huo, Yibo Yan, Zizhuang Deng, Lei Miao, Wei Guo, Haihong Tang, Bo Zheng, Philip S. Yu:
EAVer: Long-Form Factuality Verification as an End-to-End Agentic Policy. CoRR abs/2609.22223 (2026)
[i651]Jie Yang, Yan Zheng, Jiarui Sun, Xiran Fan, Junpeng Wang, Liang Wang, Zelin Xu, Qinghua Liu, Zhengyu Fang, Yiwei Cai, Philip S. Yu:
TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent. CoRR abs/2609.27277 (2026)
[i650]Fan Zhang, Yankai Chen, Zhuohan Xie, Yixi Zhou, Sijia Peng, Lei Fan, Xinhua Ji, Cunyuan Zheng, Huangyong Shan, Philip S. Yu, Xue Liu, Yu Chen, Preslav Nakov, Songwei He:
Same Scores, Different Decisions: Evaluating JEV and Language Models for Legal Document Understanding. CoRR abs/2609.27678 (2026)
[i649]Dehai Min, Daoan Zhang, Yiming Zeng, Huayi Zhang, Ziyi Chen, Yan Zhang, Qinbo Bai, Mengyuan Chao, Jing Ning, Qiyue Hua, Huiyi Chen, Hanrong Zhang, Henry Peng Zou, Jie Yang, Wei Xu, Philip S. Yu:
TraceDance: An Automated System for Building Agent Behavior Benchmarks from Real-World Agent Deployment Traces. CoRR abs/2609.33295 (2026)
[i648]Yuwei Han, Lingwei Wei, Wooseong Yang, Liangjie Huang, Liancheng Fang, Huanhuan Ma, Philip S. Yu:
DynGraphAgentBench: A Benchmark for Agentic Lifecycle Control in Dynamic Graph Anomaly Detection. CoRR abs/2609.33980 (2026)
[i647]Ziluowen Luo, Senzhang Wang, Chaozhuo Li, Jun Yin, Hao Yan, Ming Cheng, Chenxu Wang, Songyang Liu, Litian Zhang, Qiwei Ye, Zheng Liu, Philip S. Yu:
Distilling Agentic Systems: A Roadmap across Models, Artifacts, and Harnesses. CoRR abs/2609.36630 (2026)- 2025
[j660]Zhilin Zhao
, Longbing Cao
, Philip S. Yu
:
Out-of-distribution detection by regaining lost clues. Artif. Intell. 339: 104275 (2025)
[j659]Yue Xing, Wensheng Gan
, Qidi Chen
, Philip S. Yu
:
AI-generated content in landscape architecture: A survey. AI Open 6: 220-243 (2025)
[j658]Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Jiajun Bu, Philip S. Yu:
Graph neural architecture search with large language models. Sci. China Inf. Sci. 68(12) (2025)
[j657]Aiwei Liu
, Leyi Pan
, Yijian Lu
, Jingjing Li
, Xuming Hu
, Xi Zhang
, Lijie Wen
, Irwin King
, Hui Xiong
, Philip S. Yu
:
A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. 57(2): 47:1-47:36 (2025)
[j656]Yihan Cao
, Siyu Li
, Yixin Liu
, Zhiling Yan
, Yutong Dai
, Philip S. Yu
, Lichao Sun
:
A Survey of AI-Generated Content (AIGC). ACM Comput. Surv. 57(5): 125:1-125:38 (2025)
[j655]Haopeng Zhang
, Philip S. Yu
, Jiawei Zhang
:
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models. ACM Comput. Surv. 57(11): 277:1-277:41 (2025)
[j654]Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Weng, Philip S. Yu, Yongfeng Zhang:
Recommender Systems Meet Large Language Model Agents: A Survey. Found. Trends Priv. Secur. 7(4): 247-396 (2025)
[j653]Laiqiao Qin
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
Knowledge Distillation in Federated Learning: A Survey on Long Lasting Challenges and New Solutions. Int. J. Intell. Syst. 2025(1) (2025)
[j652]Chaoguang Luo
, Liuying Wen, Yong Qin
, Philip S. Yu, Liangwei Yang, Zhineng Hu:
Diversified recommendation with weighted hypergraph embedding: Case study in music. Neurocomputing 616: 128905 (2025)
[j651]Litian Zhang
, Xiaoming Zhang
, Ziyi Zhou, Xi Zhang
, Philip S. Yu, Chaozhuo Li:
Knowledge-aware multimodal pre-training for fake news detection. Inf. Fusion 114: 102715 (2025)
[j650]Jia-Hao Syu
, Jerry Chun-Wei Lin, Philip S. Yu:
Multi-head learning models for power consumption prediction of unmanned ground vehicles. Inf. Fusion 118: 102895 (2025)
[j649]Qihua Feng
, Zhixun Lu, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu
:
End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer. Inf. Fusion 121: 103153 (2025)
[j648]Lixiang Xu
, Kang Jiang, Xin Niu, Enhong Chen, Bin Luo, Philip S. Yu
:
GL-BKGNN: Graphlet-based Bi-Kernel Interpretable Graph Neural Networks. Inf. Fusion 123: 103284 (2025)
[j647]Tie Li
, Gang Kou
, Yi Peng
, Philip S. Yu
:
Feature Selection and Grouping Effect Analysis for Credit Evaluation via Regularized Diagonal Distance Metric Learning. INFORMS J. Comput. 37(5): 1391-1412 (2025)
[j646]Hengzhu Liu, Ping Xiong
, Tianqing Zhu, Philip S. Yu
:
A survey on machine unlearning: Techniques and new emerged privacy risks. J. Inf. Secur. Appl. 90: 104010 (2025)
[j645]Chunkai Zhang, Yao Lu, Yuting Yang, Ryan Han-Yuan Zhang, Wensheng Gan, Philip S. Yu:
Mining high utility contrast patterns in sequences. Knowl. Inf. Syst. 67(11): 9947-9985 (2025)
[j644]Han Chen
, Hairong Wang, Zhipeng Liu
, Yuhua Li
, Yifan Hu
, Yujing Zhang, Kai Shu, Ruixuan Li, Philip S. Yu:
Multi-modal Robustness Fake News Detection with Cross-Modal and Propagation Network Contrastive Learning. Knowl. Based Syst. 309: 112800 (2025)
[j643]Jiayang Wu, Wensheng Gan
, Jiahao Zhang, Philip S. Yu
:
Contrastive learning for anomaly detection in hierarchical subgraph. Knowl. Based Syst. 317: 113435 (2025)
[j642]Junsan Zhang, Yuxue Liu
, Mingwen Shao, Chenglizhao Chen, Zixuan Wang
, Junliang Li, Yao Wan, Philip S. Yu
:
Dual-level semantic collaboration and inference network for medical image report generation. Knowl. Based Syst. 328: 114278 (2025)
[j641]Yanxin Zheng, Wensheng Gan
, Zefeng Chen, Zhenlian Qi, Qian Liang, Philip S. Yu:
Large language models for medicine: a survey. Int. J. Mach. Learn. Cybern. 16(2): 1015-1040 (2025)
[j640]Hong Lin, Wensheng Gan, Gengsen Huang, Philip S. Yu:
Towards high-utility sequential rules with repetitive items. Int. J. Mach. Learn. Cybern. 16(10): 7729-7745 (2025)
[j639]Ce Zhou, Qian Li
, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang
, Kai Zhang
, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu
, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei
, Philip S. Yu, Lichao Sun:
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT. Int. J. Mach. Learn. Cybern. 16(12): 9851-9915 (2025)
[j638]Fanlong Zeng, Wensheng Gan
, Yongheng Wang, Philip S. Yu:
Distributed training of large language models: A survey. Nat. Lang. Process. J. 12: 100174 (2025)
[j637]Runliang Niu
, Qi Wang, He Kong
, Qianli Xing
, Yi Chang, Philip S. Yu
:
Learn to explain transformer via interpretation path by reinforcement learning. Neural Networks 188: 107496 (2025)
[j636]Xiaoyan Yu, Jiaqian Ren, Lei Jiang, Hao Peng, Zhifeng Hao, Li Sun, Kun Peng
, Liehuang Zhu, Philip S. Yu
:
PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection. Neural Networks 191: 107772 (2025)
[j635]Linlin Wang
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
Linkage on security, privacy and fairness in federated learning: New balances and new perspectives. Neural Networks 192: 107874 (2025)
[j634]Jiawei Liu
, Cheng Yang
, Zhiyuan Lu
, Junze Chen, Yibo Li
, Mengmei Zhang, Ting Bai
, Yuan Fang
, Lichao Sun
, Philip S. Yu
, Chuan Shi
:
Graph Foundation Models: Concepts, Opportunities and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 5023-5044 (2025)
[j633]Libo Qin
, Qiguang Chen
, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao
, Min Li, Wanxiang Che, Philip S. Yu:
A survey of multilingual large language models. Patterns 6(1): 101118 (2025)
[j632]Lixiang Xu
, Zhiwen Wang, Lu Bai, Shengwei Ji, Bing Ai, Xiaofeng Wang, Philip S. Yu:
Multi-Level Knowledge Distillation with Positional Encoding Enhancement. Pattern Recognit. 163: 111458 (2025)
[j631]Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng
, Suhang Wang, Philip S. Yu, Yao Ma:
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. SIGKDD Explor. 27(2): 97-106 (2025)
[j630]Shen Wang, Tianlong Xu
, Hang Li
, Chaoli Zhang
, Joleen Liang
, Jiliang Tang
, Philip S. Yu
, Qingsong Wen
:
Large Language Models for Education: A survey and outlook. IEEE Signal Process. Mag. 42(6): 51-63 (2025)
[j629]Jiayang Wu
, Wensheng Gan
, Jiahao Zhang
, Philip S. Yu
:
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training. ACM Trans. Asian Low Resour. Lang. Inf. Process. 24(11): 122:1-122:29 (2025)
[j628]Heng Xu
, Tianqing Zhu
, Lefeng Zhang
, Wanlei Zhou
, Philip S. Yu
:
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. IEEE Trans. Big Data 11(2): 524-539 (2025)
[j627]Huiqiang Chen
, Tianqing Zhu
, Bo Liu
, Wanlei Zhou
, Philip S. Yu
:
Fine-Tuning a Biased Model for Improving Fairness. IEEE Trans. Big Data 11(3): 1397-1410 (2025)
[j626]Huan Tian
, Bo Liu
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
Distilling Fair Representations From Fair Teachers. IEEE Trans. Big Data 11(3): 1419-1433 (2025)
[j625]Faqian Guan
, Tianqing Zhu
, Hui Sun
, Wanlei Zhou
, Philip S. Yu
:
Large Language Models for Link Stealing Attacks Against Graph Neural Networks. IEEE Trans. Big Data 11(4): 1879-1893 (2025)
[j624]Faqian Guan
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks. IEEE Trans. Big Data 11(5): 2809-2826 (2025)
[j623]Xiao-Dong Huang
, Ling Huang
, Yuefang Gao
, Zhe-Yuan Li
, Pei-Yuan Lai
, Chang-Dong Wang
, Philip S. Yu
:
Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation. IEEE Trans. Comput. Soc. Syst. 12(6): 3923-3937 (2025)
[j622]Jian Zhu
, Xiaoye Chen, Wensheng Gan
, Zefeng Chen
, Philip S. Yu
:
Targeted Mining Precise-Positioning Episode Rules. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 904-917 (2025)
[j621]Zhi Li
, Chaozhuo Li
, Feiran Huang
, Xi Zhang
, Jian Weng
, Philip S. Yu
:
LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation. IEEE Trans. Inf. Forensics Secur. 20: 8178-8193 (2025)
[j620]Jiayang Wu
, Wensheng Gan
, Huashen Lu
, Philip S. Yu
:
Graph Contrastive Learning on Multi-label Classification for Recommendations. ACM Trans. Intell. Syst. Technol. 16(4): 77:1-77:19 (2025)
[j619]Zhixiao Wang
, Jiayu Zhao
, Chengcheng Sun
, Xiaobin Rui
, Philip S. Yu
:
A General Concave Fairness Framework for Influence Maximization Based on Poverty Reward. ACM Trans. Knowl. Discov. Data 19(1): 14:1-14:23 (2025)
[j618]Hao Yan
, Senzhang Wang
, Chaozhuo Li
, Jun Yin
, Philip S. Yu
, Jianxin Wang
:
Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 19(4): 1-25 (2025)
[j617]Jin-Jie Qiu
, Shengda Zhuo
, Philip S. Yu
, Chang-Dong Wang
, Shuqiang Huang
:
Online Learning for Noisy Labeled Streams. ACM Trans. Knowl. Discov. Data 19(6): 1-29 (2025)
[j616]Gengsen Huang
, Wensheng Gan
, Philip S. Yu
:
Towards Sequence Utility Maximization under Utility Occupancy Measure. ACM Trans. Knowl. Discov. Data 19(7): 126:1-126:27 (2025)
[j615]Guangjie Zeng
, Hao Peng
, Angsheng Li
, Jia Wu
, Chunyang Liu
, Philip S. Yu
:
Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints. IEEE Trans. Knowl. Data Eng. 37(1): 478-492 (2025)
[j614]Litian Zhang
, Xiaoming Zhang
, Ziyi Zhou
, Xi Zhang
, Senzhang Wang
, Philip S. Yu
, Chaozhuo Li:
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. IEEE Trans. Knowl. Data Eng. 37(2): 613-625 (2025)
[j613]Runze Yang
, Hao Peng
, Angsheng Li
, Peng Li
, Chunyang Liu
, Philip S. Yu
:
Hierarchical Abstracting Graph Kernel. IEEE Trans. Knowl. Data Eng. 37(2): 724-738 (2025)
[j612]Zeyu Zhang
, Chaozhuo Li
, Xu Chen
, Xing Xie
, Philip S. Yu
:
Meta Recommendation With Robustness Improvement. IEEE Trans. Knowl. Data Eng. 37(2): 781-793 (2025)
[j611]Lu Bai
, Lixin Cui
, Ming Li
, Peng Ren
, Yue Wang
, Lichi Zhang
, Philip S. Yu
, Edwin R. Hancock
:
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Trans. Knowl. Data Eng. 37(3): 1064-1078 (2025)
[j610]Ya-Wen Teng
, Yishuo Shi
, De-Nian Yang
, Chih-Hua Tai, Philip S. Yu
, Ming-Syan Chen
:
Multi-Grade Revenue Maximization for Promotional and Competitive Viral Marketing in Social Networks. IEEE Trans. Knowl. Data Eng. 37(3): 1339-1353 (2025)
[j609]Juyong Jiang, Peiyan Zhang
, Yingtao Luo
, Chaozhuo Li
, Jae Boum Kim, Kai Zhang, Senzhang Wang
, Sunghun Kim, Philip S. Yu
:
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. IEEE Trans. Knowl. Data Eng. 37(5): 2652-2664 (2025)
[j608]Songwei Zhao
, Bo Yu
, Kang Yang, Sinuo Zhang, Jifeng Hu
, Yuan Jiang
, Philip S. Yu
, Hechang Chen
:
A Flexible Diffusion Convolution for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 37(6): 3118-3131 (2025)
[j607]Wensheng Gan
, Gengsen Huang, Jian Weng
, Tianlong Gu
, Philip S. Yu
:
Towards Target Sequential Rules. IEEE Trans. Knowl. Data Eng. 37(6): 3766-3780 (2025)
[j606]Xiaobin Rui
, Zhixiao Wang
, Hao Peng
, Wei Chen, Philip S. Yu
:
A Scalable Algorithm for Fair Influence Maximization With Unbiased Estimator. IEEE Trans. Knowl. Data Eng. 37(7): 3881-3895 (2025)
[j605]Zhangtao Cheng
, Yang Liu
, Ting Zhong
, Kunpeng Zhang
, Fan Zhou
, Philip S. Yu
:
Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction. IEEE Trans. Knowl. Data Eng. 37(8): 4548-4563 (2025)
[j604]Qitong Liu
, Hao Peng
, Xiang Huang
, Zhifeng Hao
, Qingyun Sun
, Zhengtao Yu
, Philip S. Yu
:
Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. IEEE Trans. Knowl. Data Eng. 37(9): 5283-5297 (2025)
[j603]Songwei Zhao
, Bo Yu
, Sinuo Zhang
, Zhejian Yang
, Jifeng Hu
, Philip S. Yu
, Hechang Chen
:
EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios. IEEE Trans. Knowl. Data Eng. 37(10): 5852-5865 (2025)
[j602]Hao Miao
, Ronghui Xu
, Yan Zhao
, Senzhang Wang
, Jianxin Wang
, Philip S. Yu
, Christian S. Jensen
:
A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation. IEEE Trans. Mob. Comput. 24(9): 8872-8885 (2025)
[j601]Zefeng Chen
, Wensheng Gan
, Gengsen Huang
, Zhenlian Qi
, Yan Li
, Philip S. Yu
:
TALENT: Targeted Mining of Non-overlapping Sequential Patterns. ACM Trans. Manag. Inf. Syst. 16(4): 31:1-31:34 (2025)
[j600]Wenjing Chang, Kay Liu, Philip S. Yu, Jianjun Yu:
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement. Trans. Mach. Learn. Res. 2025 (2025)
[j599]Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao:
LEGO-Learn: Label-Efficient Graph Open-Set Learning. Trans. Mach. Learn. Res. 2025 (2025)
[j598]Huan Tian
, Bo Liu
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
MultiFair: Model Fairness With Multiple Sensitive Attributes. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5654-5667 (2025)
[j597]Yazhou Ren
, Jingyu Pu
, Zhimeng Yang, Jie Xu
, Guofeng Li, Xiaorong Pu
, Philip S. Yu
, Lifang He
:
Deep Clustering: A Comprehensive Survey. IEEE Trans. Neural Networks Learn. Syst. 36(4): 5858-5878 (2025)
[j596]Xusheng Zhao
, Qiong Dai
, Xu Bai
, Jia Wu
, Hao Peng
, Huailiang Peng
, Zhengtao Yu
, Philip S. Yu
:
Reinforced GNNs for Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6693-6707 (2025)
[j595]Phu Pham
, Quang-Thinh Bui, Ngoc Thanh Nguyen
, Robert Kozma
, Philip S. Yu
, Bay Vo
:
Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives. IEEE Trans. Neural Networks Learn. Syst. 36(6): 9758-9776 (2025)
[j594]Jianpeng Chen
, Yawen Ling, Jie Xu
, Yazhou Ren
, Shudong Huang
, Xiaorong Pu
, Zhifeng Hao
, Philip S. Yu
, Lifang He
:
Variational Graph Generator for Multiview Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(6): 11078-11091 (2025)
[j593]Ling Huang
, Dong Huang, Han Zou, Yuefang Gao
, Chang-Dong Wang
, Philip S. Yu
:
Knowledge-Reinforced Cross-Domain Recommendation. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12880-12894 (2025)
[j592]Zheng Wang
, Hongming Ding, Li Pan
, Jianhua Li
, Zhiguo Gong
, Philip S. Yu
:
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12952-12963 (2025)
[j591]Xiaoye Chen, Wensheng Gan
, Zefeng Chen, Jian Zhu
, Ruichu Cai
, Philip S. Yu
:
Toward Targeted Mining of RFM Patterns. IEEE Trans. Neural Networks Learn. Syst. 36(9): 16619-16632 (2025)
[j590]Pu Li
, Xiaoyan Yu
, Hao Peng
, Yantuan Xian
, Linqin Wang
, Li Sun
, Jingyun Zhang
, Philip S. Yu
:
Relational Prompt-Based Pre-Trained Language Models for Social Event Detection. ACM Trans. Inf. Syst. 43(1): 12:1-12:43 (2025)
[j589]Zhiwei Liu
, Hao Peng
, Caiming Xiong
, Julian J. McAuley
, Philip S. Yu
:
Introduction to the Special Issue on Knowledge Transferring for Recommender Systems. Trans. Recomm. Syst. 3(3): 26:1-26:4 (2025)
[j588]Qihua Feng
, Zhixun Lu
, Litian Zhang
, Chaozhuo Li
, Feiran Huang
, Jian Weng
, Philip S. Yu
:
Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining. IEEE Trans. Serv. Comput. 18(4): 2310-2325 (2025)
[j587]Yang Wu
, Yao Wan
, Zhaoyang Chu
, Wenting Zhao
, Ye Liu
, Hongyu Zhang
, Xuanhua Shi
, Hai Jin
, Philip S. Yu
:
Can Large Language Models Serve as Evaluators for Code Summarization? IEEE Trans. Software Eng. 51(12): 3205-3217 (2025)
[c1189]Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu:
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. AAAI 2025: 12586-12594
[c1188]Xiaoyan Yu, Yifan Wei
, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu:
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. AAAI 2025: 13106-13114
[c1187]Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu:
Structural Entropy Guided Probabilistic Coding. AAAI 2025: 17467-17475
[c1186]Yibo Yan, Shen Wang, Jiahao Huo
, Philip S. Yu, Xuming Hu, Qingsong Wen:
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. ACL (6) 2025: 69-82
[c1185]Yinghui Li, Shang Qin, Jingheng Ye, Haojing Huang, Yangning Li, Shu-Yu Guo, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu:
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. ACL (6) 2025: 553-567
[c1184]Xiuxuan Shen, Zhongyuan Jiang, Junsan Zhang, Junxiao Han, Yao Wan, Chengjie Guo, Bingcheng Liu, Jie Wu, Renxiang Li, Philip S. Yu:
ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing. ACL (1) 2025: 6240-6254
[c1183]Lingwei Wei, Dou Hu, Wei Zhou, Philip S. Yu, Songlin Hu:
Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection. ACL (Findings) 2025: 9739-9752
[c1182]Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? ACL (1) 2025: 13228-13251
[c1181]Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu:
TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. ACL (Findings) 2025: 20027-20041
[c1180]Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu:
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. ACL (1) 2025: 27396-27413
[c1179]Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu
, Philip S. Yu:
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. ACL (1) 2025: 30750-30762
[c1178]Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu:
SocialED: A Python Library for Social Event Detection. APWeb-WAIM (4) 2025: 255-260
[c1177]Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Philip S. Yu:
Confidence-Aware Fine-Tuning of Sequential Recommendation Systems Via Conformal Prediction. IEEE Big Data 2025: 1212-1221
[c1176]Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu:
Cluster-Aware Item Prompt Learning for Session-Based Recommendation. IEEE Big Data 2025: 5563-5572
[c1175]Zhenlian Qi, Junyu Ren, Wensheng Gan, Philip S. Yu:
Large Language Models for Fault Diagnosis. IEEE Big Data 2025: 6982-6991
[c1174]Yongheng Wang, Wensheng Gan, Philip S. Yu:
AI-Driven Log Analysis: Advances and Challenges. IEEE Big Data 2025: 7728-7743
[c1173]Wenxi Zhu
, Wensheng Gan, Zhenlian Qi, Philip S. Yu:
Large Language Models for Bioinformatics: Applications and Challenges. IEEE Big Data 2025: 8096-8105
[c1172]Kun Peng
, Cong Cao
, Hao Peng
, Zhifeng Hao
, Lei Jiang
, Kongjing Gu
, Yanbing Liu
, Philip S. Yu
:
Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CIKM 2025: 2326-2335
[c1171]Yue Huang
, Jingyu Tang
, Dongping Chen
, Bingda Tang
, Yao Wan
, Lichao Sun
, Philip S. Yu
, Xiangliang Zhang
:
Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings. CIKM 2025: 4817-4821
[c1170]Zhichen Zeng
, Xiaolong Liu
, Mengyue Hang
, Xiaoyi Liu
, Qinghai Zhou
, Chaofei Yang
, Yiqun Liu
, Yichen Ruan
, Laming Chen
, Yuxin Chen
, Yujia Hao
, Jiaqi Xu
, Jade Nie
, Xi Liu
, Buyun Zhang
, Wei Wen
, Siyang Yuan
, Hang Yin
, Xin Zhang
, Kai Wang
, Wen-Yen Chen
, Yiping Han
, Huayu Li
, Chunzhi Yang
, Bo Long
, Philip S. Yu
, Hanghang Tong
, Jiyan Yang
:
InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CIKM 2025: 6225-6233
[c1169]Qingyun Sun
, Ziwei Zhang
, Xingcheng Fu
, Yangqiu Song
, Jianxin Li
, Philip S. Yu
:
Frontiers in Graph Machine Learning for the Large Model Era. CIKM 2025: 6927-6929
[c1168]Weizhi Zhang, Wooseong Yang, Yuxin Cui, Zhaohui Guo, Hins Hu, Liangwei Yang, Henry Peng Zou, Qifei Wang, Hanqing Zeng, Jiayi Liu, Yinglong Xia, Philip S. Yu:
Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback. CogMI 2025: 381-388
[c1167]Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu:
Taxonomy-Guided Zero-Shot Recommendations with LLMs. COLING 2025: 1520-1530
[c1166]Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu:
Multi-View Incongruity Learning for Multimodal Sarcasm Detection. COLING 2025: 1754-1766
[c1165]Alvin Chin, Justin Chan, Joshua Garcia, Aria Barve, Kevin Leicht, Philip S. Yu:
Improving Social Connections Through Mobile Social Networks. COMPSAC 2025: 1770-1775
[c1164]Kun Peng
, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu:
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. EMNLP 2025: 596-608
[c1163]Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang:
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. EMNLP (Findings) 2025: 1026-1041
[c1162]Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu:
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. EMNLP (Industry Track) 2025: 2016-2024
[c1161]Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao, Hou-I Liu, Ya-Hsin Yeh, Yu Kai Chan
, Wen-Sheng Lien, Po-Yen Kuo, Philip S. Yu, Hong-Han Shuai:
Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks. EMNLP (Findings) 2025: 4819-4839
[c1160]Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Tingwei Lu, Yinghui Li, Wenhao Jiang, Hong-Gee Kim, Hai-Tao Zheng, Philip S. Yu:
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models. EMNLP (Findings) 2025: 11708-11723
[c1159]Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu:
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. EMNLP (Findings) 2025: 11724-11741
[c1158]Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu:
A Survey of RAG-Reasoning Systems in Large Language Models. EMNLP (Findings) 2025: 12120-12145
[c1157]Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu:
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions. EMNLP (Findings) 2025: 12756-12773
[c1156]Yujie Feng, Li-Ming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu:
GeoEdit: Geometric Knowledge Editing for Large Language Models. EMNLP 2025: 13390-13405
[c1155]Zhendong Chu
, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen:
LLM Agents for Education: Advances and Applications. EMNLP (Findings) 2025: 13782-13810
[c1154]Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen:
Position: LLMs Can be Good Tutors in English Education. EMNLP 2025: 17516-17535
[c1153]Alvin Chin
, Kevin Leicht
, Philip S. Yu
, Diego Gómez-Zará
:
Ephemeral Social Networking: Connecting People from Offline to Online. HCI (61) 2025: 176-185
[c1152]Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock:
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). ICDE 2025: 1-2
[c1151]Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen:
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract). ICDE 2025: 4726-4727
[c1150]Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). ICDE 2025: 4738-4739
[c1149]Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu:
Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation. ICDM 2025: 773-782
[c1148]Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang
, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen:
Equilibrium-Based NFT Marketplace Recommendation for NFTs with Breeding. ICDM 2025: 863-872
[c1147]Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu:
BANGS: Game-theoretic Node Selection for Graph Self-Training. ICLR 2025
[c1146]Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu:
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. ICLR 2025
[c1145]Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu:
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent. ICLR 2025
[c1144]Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao:
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. ICLR 2025
[c1143]Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu:
Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR 2025
[c1142]Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu:
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. ICLR 2025
[c1141]Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu:
DiffPuter: Empowering Diffusion Models for Missing Data Imputation. ICLR 2025
[c1140]Cheng Hu
, Fangfang Yuan, Cong Cao, Pu Li, Guangjie Zeng, Yanbing Liu, Hao Peng, Philip S. Yu:
Counterfactual-Augmented Representation Learning based Event Prediction. ICME 2025: 1-6
[c1139]Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu:
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. ICML 2025
[c1138]Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu:
How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. ICML 2025
[c1137]Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu:
TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data. ICML 2025
[c1136]Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu, Jürgen Kurths, Frank Hellmann:
SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning. ICML 2025
[c1135]Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, Philip S. Yu:
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation. IJCAI 2025: 3308-3316
[c1134]Kun Peng
, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu:
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. IJCAI 2025: 8222-8230
[c1133]Zhilin Zhao, Longbing Cao, Philip S. Yu:
Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint). IJCAI 2025: 10961
[c1132]Ya-Wen Teng
, De-Nian Yang
, Yishuo Shi
, Guang-Siang Lee
, Wang-Chien Lee
, Philip S. Yu
, Ming-Syan Chen
:
Breeding-aware Revenue Maximization for NFT Viral Marketing on Social Networks. KDD (2) 2025: 2823-2834
[c1131]Shu Pu
, Yaochen Wang
, Dongping Chen
, Yuhang Chen
, Guohao Wang
, Qi Qin
, Zhongyi Zhang
, Zhiyuan Zhang
, Zetong Zhou
, Shuang Gong
, Yi Gui
, Yao Wan
, Philip S. Yu
:
Judge Anything: MLLM as a Judge Across Any Modality. KDD (2) 2025: 5742-5753
[c1130]Liangbo Ning
, Ziran Liang
, Zhuohang Jiang
, Haohao Qu
, Yujuan Ding
, Wenqi Fan
, Xiaoyong Wei
, Shanru Lin
, Hui Liu
, Philip S. Yu
, Qing Li
:
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. KDD (2) 2025: 6140-6150
[c1129]Yuxuan Liang
, Yu Zheng
, Chuishi Meng
, Yanhua Li
, Jieping Ye
, Philip S. Yu
, Ouri Wolfson
:
The 14th International Workshop on Urban Computing. KDD (2) 2025: 6284-6285
[c1128]Qingsong Wen
, Yongfeng Zhang
, Zhiwei Liu
, Julian J. McAuley
, Hua Wei
, Linsey Pang
, Wei Liu
, Philip S. Yu
:
The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. KDD (2) 2025: 6298-6299
[c1127]Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu:
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents. NAACL (Findings) 2025: 2866-2882
[c1126]Hoang H. Nguyen
, Khyati Mahajan, Vikas Yadav, Julian Salazar, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary:
Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages. NAACL (Long Papers) 2025: 11975-11994
[c1125]Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Steve (Xue) Liu, Philip S. Yu:
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies. NeurIPS 2025
[c1124]Mingyang Fu, Yuyang Peng, Dongping Chen, Zetong Zhou, Benlin Liu, Yao Wan, Zhou Zhao, Philip S. Yu, Ranjay Krishna:
Seeking and Updating with Live Visual Knowledge. NeurIPS 2025
[c1123]Jiayi Kuang, Haojing Huang, Yinghui Li, Xinnian Liang, Zhikun Xu, Yangning Li, Xiaoyu Tan, Chao Qu, Meishan Zhang, Ying Shen, Philip S. Yu:
Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities. NeurIPS 2025
[c1122]Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S. Yu:
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees. NeurIPS 2025
[c1121]Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu:
Robust Graph Condensation via Classification Complexity Mitigation. NeurIPS 2025
[c1120]Li Sun, Zhenhao Huang, Ming Zhang, Philip S. Yu:
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models. NeurIPS 2025
[c1119]Jie Yang, Kexin Zhang, Guibin Zhang, Philip S. Yu, Kaize Ding:
Glocal Information Bottleneck for Time Series Imputation. NeurIPS 2025
[c1118]Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu:
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning. NeurIPS 2025
[c1117]Xin Zhang, Mingxin Li, Yanzhao Zhang, Dingkun Long, Yongqi Li, Yinghui Li, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang, Philip S. Yu:
SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data. NeurIPS 2025
[c1116]Jifan Zhang, Fangxin Wang, Zihe Song, Philip S. Yu, Kaize Ding, Shixiang Zhu:
Topology-Aware Conformal Prediction for Stream Networks. NeurIPS 2025
[c1115]Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang:
Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs. NeurIPS 2025
[c1114]Kay Liu
, Jiahao Ding
, MohamadAli Torkamani
, Philip S. Yu
:
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. PAKDD (2) 2025: 251-263
[c1113]Weizhi Zhang
, Liangwei Yang
, Zihe Song
, Henry Peng Zou
, Ke Xu
, Yuanjie Zhu
, Philip S. Yu
:
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. RecSys 2025: 671-676
[c1112]Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu:
Hierarchical Superpixel Segmentation via Structural Information Theory. SDM 2025: 242-251
[c1111]Jiangshu Du
, Wenpeng Yin
, Philip S. Yu
:
ScaleFormer: Span Representation Cumulation for Long-Context Transformer. SIGIR-AP 2025: 337-342
[c1110]Feiran Huang
, Yuanchen Bei
, Zhenghang Yang
, Junyi Jiang
, Hao Chen
, Qijie Shen
, Senzhang Wang
, Fakhri Karray
, Philip S. Yu
:
Large Language Model Simulator for Cold-Start Recommendation. WSDM 2025: 261-270
[c1109]Yuwei Cao
, Liangwei Yang
, Zhiwei Liu
, Yuqing Liu
, Chen Wang
, Yueqing Liang
, Hao Peng
, Philip S. Yu
:
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. WWW (Companion Volume) 2025: 888-892
[c1108]Li Sun
, Zhenhao Huang
, Suyang Zhou
, Qiqi Wan
, Hao Peng
, Philip S. Yu
:
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. WWW 2025: 1154-1165
[c1107]Ke Xu
, Weizhi Zhang
, Zihe Song
, Yuanjie Zhu
, Philip S. Yu
:
Graph Neural Controlled Differential Equations For Collaborative Filtering. WWW (Companion Volume) 2025: 1446-1449
[c1106]Mingdai Yang
, Zhiwei Liu
, Liangwei Yang
, Xiaolong Liu
, Chen Wang
, Hao Peng
, Philip S. Yu
:
Training Large Recommendation Models via Graph-Language Tokens Alignment. WWW (Companion Volume) 2025: 1470-1474
[c1105]Qingsong Wen
, Yongfeng Zhang
, Zhiwei Liu
, Julian J. McAuley
, Hua Wei
, Linsey Pang
, Wei Liu
, Philip S. Yu
:
The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. WWW (Companion Volume) 2025: 1659-1662
[c1104]Di Jin
, Cuiying Huo
, Jiayi Shi
, Dongxiao He
, Jianguo Wei
, Philip S. Yu
:
LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction. WWW 2025: 2860-2871
[c1103]Yantuan Xian
, Pu Li
, Hao Peng
, Zhengtao Yu
, Yan Xiang
, Philip S. Yu
:
Community Detection in Large-Scale Complex Networks via Structural Entropy Game. WWW 2025: 3930-3941
[i646]Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou
, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu:
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR abs/2501.01945 (2025)
[i645]Jiayang Wu, Wensheng Gan, Huashen Lu, Philip S. Yu:
Graph Contrastive Learning on Multi-label Classification for Recommendations. CoRR abs/2501.06985 (2025)
[i644]Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu:
Hierarchical Superpixel Segmentation via Structural Information Theory. CoRR abs/2501.07069 (2025)
[i643]Jiayang Wu, Wensheng Gan, Jiahao Zhang, Philip S. Yu:
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training. CoRR abs/2501.07078 (2025)
[i642]Jia-Hao Syu
, Jerry Chun-Wei Lin, Philip S. Yu:
Distributed Multi-Head Learning Systems for Power Consumption Prediction. CoRR abs/2501.12133 (2025)
[i641]Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu:
Graph Neural Controlled Differential Equations For Collaborative Filtering. CoRR abs/2501.13908 (2025)
[i640]Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu:
Community Detection in Large-Scale Complex Networks via Structural Entropy Game. CoRR abs/2501.15130 (2025)
[i639]Wensheng Gan, Zhenyao Ning, Zhenlian Qi, Philip S. Yu:
Mixture of Experts (MoE): A Big Data Perspective. CoRR abs/2501.16352 (2025)
[i638]Yibo Yan, Shen Wang, Jiahao Huo
, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen:
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. CoRR abs/2502.02871 (2025)
[i637]Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu:
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. CoRR abs/2502.03236 (2025)
[i636]Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu:
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. CoRR abs/2502.03251 (2025)
[i635]Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen:
Position: LLMs Can be Good Tutors in Foreign Language Education. CoRR abs/2502.05467 (2025)
[i634]Yibo Wang, Congying Xia, Wenting Zhao, Jiangshu Du, Chunyu Miao, Zhongfen Deng, Philip S. Yu, Chen Xing:
ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms. CoRR abs/2502.06556 (2025)
[i633]Chen Wang, Xiaokai Wei, Yexi Jiang, Frank Ong, Kevin Gao, Xiao Yu, Zheng Hui, Se-eun Yoon, Philip S. Yu, Michelle Gong:
Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking. CoRR abs/2502.06802 (2025)
[i632]Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu:
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. CoRR abs/2502.07184 (2025)
[i631]Jiayang Wu, Wensheng Gan, Philip S. Yu:
Graph Diffusion Network for Drug-Gene Prediction. CoRR abs/2502.09335 (2025)
[i630]Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu:
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. CoRR abs/2502.10454 (2025)
[i629]Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? CoRR abs/2502.11598 (2025)
[i628]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon
, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu
, Tianyi Zhou
, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson
, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao
, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang:
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025)
[i627]Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu:
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. CoRR abs/2502.16414 (2025)
[i626]Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu:
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances. CoRR abs/2502.16804 (2025)
[i625]Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu:
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. CoRR abs/2502.17510 (2025)
[i624]Xiongxiao Xu
, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu:
Can Multimodal LLMs Perform Time Series Anomaly Detection? CoRR abs/2502.17812 (2025)
[i623]Zhijun Chen, Jingzheng Li, Pengpeng Chen, Zhuoran Li, Kai Sun, Yuankai Luo, Qianren Mao, Dingqi Yang, Hailong Sun, Philip S. Yu:
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble. CoRR abs/2502.18036 (2025)
[i622]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Training Large Recommendation Models via Graph-Language Token Alignment. CoRR abs/2502.18757 (2025)
[i621]Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu:
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. CoRR abs/2502.19163 (2025)
[i620]Yujie Feng, Liming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu:
GeoEdit: Geometric Knowledge Editing for Large Language Models. CoRR abs/2502.19953 (2025)
[i619]Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu:
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. CoRR abs/2503.01814 (2025)
[i618]Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu:
Semi-Supervised In-Context Learning: A Baseline Study. CoRR abs/2503.03062 (2025)
[i617]Jifan Zhang, Fangxin Wang, Philip S. Yu, Kaize Ding, Shixiang Zhu:
Topology-Aware Conformal Prediction for Stream Networks. CoRR abs/2503.04981 (2025)
[i616]Guiyao Tie, Zeli Zhao, Dingjie Song
, Fuyang Wei
, Rong Zhou
, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao:
A Survey on Post-training of Large Language Models. CoRR abs/2503.06072 (2025)
[i615]Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen:
LLM Agents for Education: Advances and Applications. CoRR abs/2503.11733 (2025)
[i614]Yue Xing, Wensheng Gan, Qidi Chen, Philip S. Yu:
AI-Generated Content in Landscape Architecture: A Survey. CoRR abs/2503.16435 (2025)
[i613]Shu Pu, Yaochen Wang, Dongping Chen, Yuhang Chen, Guohao Wang, Qi Qin, Zhongyi Zhang, Zhiyuan Zhang, Zetong Zhou, Shuang Gong, Yi Gui, Yao Wan, Philip S. Yu:
Judge Anything: MLLM as a Judge Across Any Modality. CoRR abs/2503.17489 (2025)
[i612]Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen:
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. CoRR abs/2503.18132 (2025)
[i611]Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen
, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang:
Large Language Model Agent: A Survey on Methodology, Applications and Challenges. CoRR abs/2503.21460 (2025)
[i610]Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu
, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li:
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. CoRR abs/2503.23350 (2025)
[i609]Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu:
Automating Personalization: Prompt Optimization for Recommendation Reranking. CoRR abs/2504.03965 (2025)
[i608]Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang:
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing. CoRR abs/2504.04121 (2025)
[i607]Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Yinghui Li, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu:
RAISE: Reinforenced Adaptive Instruction Selection For Large Language Models. CoRR abs/2504.07282 (2025)
[i606]Li Sun, Zhenhao Huang, Yujie Wang, Hongbo Lv, Chunyang Liu, Hao Peng, Philip S. Yu:
IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space. CoRR abs/2504.09970 (2025)
[i605]Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li
, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan
, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia
, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura
, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu:
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR abs/2504.15585 (2025)
[i604]Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang:
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. CoRR abs/2504.16936 (2025)
[i603]Qianren Mao, Qili Zhang, Hanwen Hao, Zhentao Han, Runhua Xu, Weifeng Jiang, Qi Hu, Zhijun Chen, Tyler Zhou, Bo Li, Yangqiu Song, Jin Dong, Jianxin Li, Philip S. Yu:
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation. CoRR abs/2504.19101 (2025)
[i602]Shengli Sun, Peng Xu, Guanming Jiang, Philip S. Yu, Yi Li:
Effective Index Construction Algorithm for Optimal (k,η)-cores Computation. CoRR abs/2504.20795 (2025)
[i601]Haoyan Xu, Zhengtao Yao
, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao
:
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model. CoRR abs/2504.21186 (2025)
[i600]Henry Peng Zou, Wei-Chieh Huang
, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu:
A Survey on Large Language Model based Human-Agent Systems. CoRR abs/2505.00753 (2025)
[i599]Hao Peng, Xiang Huang, Shuo Sun, Ruitong Zhang, Philip S. Yu:
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning. CoRR abs/2505.04339 (2025)
[i598]Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu:
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. CoRR abs/2505.05271 (2025)
[i597]Jizhou Guo
, Zhaomin Wu
, Philip S. Yu:
Reward Inside the Model: A Lightweight Hidden-State Reward Model for LLM's Best-of-N sampling. CoRR abs/2505.12225 (2025)
[i596]Haochen Yuan, Minting Pan, Yunbo Wang, Siyu Gao, Philip S. Yu, Xiaokang Yang:
Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization. CoRR abs/2505.12759 (2025)
[i595]Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao
:
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR abs/2505.14106 (2025)
[i594]Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang:
MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning. CoRR abs/2505.17481 (2025)
[i593]Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang:
Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs. CoRR abs/2505.17599 (2025)
[i592]Wooseong Yang, Weizhi Zhang, Yuqing Liu, Yuwei Han, Yu Wang, Junhyun Lee
, Philip S. Yu:
Cold-Start Recommendation with Knowledge-Guided Retrieval-Augmented Generation. CoRR abs/2505.20773 (2025)
[i591]Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu:
MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection. CoRR abs/2505.24267 (2025)
[i590]Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Yibo Zhang, Zhenyu Guan, Chaozhuo Li, Philip S. Yu:
Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection. CoRR abs/2506.04739 (2025)
[i589]Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li:
PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time. CoRR abs/2506.06254 (2025)
[i588]Henry Peng Zou, Wei-Chieh Huang
, Yaozu Wu, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, Philip S. Yu:
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy. CoRR abs/2506.09420 (2025)
[i587]Longzhu He, Chaozhuo Li, Peng Tang, Lichao Sun, Sen Su, Philip S. Yu:
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. CoRR abs/2506.09803 (2025)
[i586]Songyang Liu, Chaozhuo Li, Jiameng Qiu, Xi Zhang
, Feiran Huang, Litian Zhang, Yiming Hei, Philip S. Yu:
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs. CoRR abs/2506.11094 (2025)
[i585]Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao, Hou-I Liu, Ya-Hsin Yeh, Yu Kai Chan, Wen-Sheng Lien, Po-Yen Kuo, Philip S. Yu, Hong-Han Shuai:
Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks. CoRR abs/2506.11113 (2025)
[i584]Yi Wang, Zhenghong Wang, Fan Zhang, Chengling Tang, Chaogui Kang, Di Zhu, Zhongfu Ma, Sijie Ruan, Weiyu Zhang, Yu Zheng, Philip S. Yu, Yu Liu:
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction. CoRR abs/2506.13678 (2025)
[i583]Yuanchen Bei, Weizhi Zhang, Siwen Wang, Weizhi Chen, Sheng Zhou, Hao Chen, Yong Li, Jiajun Bu, Shirui Pan, Yizhou Yu, Irwin King, Fakhri Karray, Philip S. Yu:
Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. CoRR abs/2506.18019 (2025)
[i582]Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang
, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou
, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu:
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. CoRR abs/2506.18959 (2025)
[i581]Chaozhuo Li, Pengbo Wang, Chenxu Wang, Litian Zhang, Zheng Liu, Qiwei Ye, Yuanbo Xu, Feiran Huang, Xi Zhang
, Philip S. Yu:
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models. CoRR abs/2507.02870 (2025)
[i580]Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang
, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu:
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. CoRR abs/2507.09477 (2025)
[i579]Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li:
A Survey of AIOps in the Era of Large Language Models. CoRR abs/2507.12472 (2025)
[i578]Shuang Liang, Lili Chen, Wensheng Gan, Philip S. Yu, Shengjie Zhao
:
Targeted Mining of Time-Interval Related Patterns. CoRR abs/2507.12668 (2025)
[i577]Wenting Zhu, Chaozhuo Li, Qingpo Yang, Xi Zhang
, Philip S. Yu:
T3MAL: Test-Time Fast Adaptation for Robust Multi-Scale Information Diffusion Prediction. CoRR abs/2507.12880 (2025)
[i576]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. CoRR abs/2507.13336 (2025)
[i575]Qingyun Sun, Jiaqi Yuan, Shan He, Xiao Guan, Haonan Yuan, Xingcheng Fu, Jianxin Li, Philip S. Yu:
DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning. CoRR abs/2507.13396 (2025)
[i574]Zhenyu Pan, Yutong Zhang, Jianshu Zhang, Haoran Lu, Haozheng Luo, Yuwei Han, Philip S. Yu, Manling Li, Han Liu:
FairReason: Balancing Reasoning and Social Bias in MLLMs. CoRR abs/2507.23067 (2025)
[i573]Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen, Philip S. Yu:
DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. CoRR abs/2508.00664 (2025)
[i572]Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, Philip S. Yu:
OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction. CoRR abs/2508.00933 (2025)
[i571]Zhenyu Pan, Yiting Zhang, Yutong Zhang, Jianshu Zhang, Haozheng Luo, Yuwei Han, Dennis Wu, Hong-Yu Chen, Philip S. Yu, Manling Li, Han Liu:
Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety. CoRR abs/2508.03864 (2025)
[i570]Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu:
Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CoRR abs/2508.05023 (2025)
[i569]Lingzhe Zhang, Liancheng Fang, Chiming Duan, Minghua He, Leyi Pan, Pei Xiao, Shiyu Huang, Yunpeng Zhai, Xuming Hu, Philip S. Yu, Aiwei Liu:
A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models. CoRR abs/2508.08712 (2025)
[i568]Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu:
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. CoRR abs/2508.19533 (2025)
[i567]Leyi Pan, Sheng Guan, Zheyu Fu
, Luyang Si, Zian Wang, Xuming Hu, Irwin King, Philip S. Yu, Aiwei Liu, Lijie Wen:
MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models. CoRR abs/2509.10569 (2025)
[i566]Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang
, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu:
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. CoRR abs/2509.13790 (2025)
[i565]Qingfeng Zhou, Wensheng Gan, Zhenlian Qi, Philip S. Yu:
Utility-based Privacy Preserving Data Mining. CoRR abs/2509.15755 (2025)
[i564]Zhiyu Kan, Wensheng Gan, Zhenlian Qi, Philip S. Yu:
Advances in Large Language Models for Medicine. CoRR abs/2509.18690 (2025)
[i563]Jie Yang, Yifan Hu, Kexin Zhang, Luyang Niu, Yushun Dong, Philip S. Yu, Kaize Ding:
Revisiting Multivariate Time Series Forecasting with Missing Values. CoRR abs/2509.23494 (2025)
[i562]Yaozu Wu, Jizhou Guo
, Dongyuan Li, Henry Peng Zou, Wei-Chieh Huang
, Yankai Chen, Zhen Wang, Weizhi Zhang, Yangning Li, Meng Zhang, Renhe Jiang, Philip S. Yu:
PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents. CoRR abs/2509.23614 (2025)
[i561]Fanlong Zeng, Wensheng Gan, Philip S. Yu:
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning. CoRR abs/2509.23616 (2025)
[i560]Fanlong Zeng, Wensheng Gan, Jiayang Wu, Philip S. Yu:
Pure Node Selection for Imbalanced Graph Node Classification. CoRR abs/2509.23662 (2025)
[i559]Langzhou He, Junyou Zhu, Fangxin Wang, Junhua Liu, Haoyan Xu, Yue Zhao
, Philip S. Yu, Qitian Wu:
Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization. CoRR abs/2509.25509 (2025)
[i558]Jiayi Kuang, Haojing Huang, Yinghui Li, Xinnian Liang, Zhikun Xu, Yangning Li, Xiaoyu Tan, Chao Qu, Meishan Zhang, Ying Shen, Philip S. Yu:
Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities. CoRR abs/2509.25725 (2025)
[i557]Zhenyu Pan, Yiting Zhang, Zhuo Liu, Yolo Yunlong Tang, Zeliang Zhang, Haozheng Luo, Yuwei Han, Jianshu Zhang, Dennis Wu, Hong-Yu Chen, Haoran Lu, Haoyang Fang, Manling Li, Chenliang Xu, Philip S. Yu, Han Liu:
AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning. CoRR abs/2510.01586 (2025)
[i556]Jie Yang, Kexin Zhang, Guibin Zhang, Philip S. Yu, Kaize Ding:
Glocal Information Bottleneck for Time Series Imputation. CoRR abs/2510.04910 (2025)
[i555]Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra:
AgentDR Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. CoRR abs/2510.05598 (2025)
[i554]Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H. Nguyen, Yue Zhou, Jie Yang, Jizhou Guo
, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang
, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Yinghui Li, Hai-Tao Zheng, Xue Liu, Irwin King, Philip S. Yu:
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback. CoRR abs/2510.06186 (2025)
[i553]Michal Koren, Or Peretz, Tai Dinh, Philip S. Yu:
Reinforcement Learning from Probabilistic Forecasts for Safe Decision-Making via Conditional Value-at-Risk Planning. CoRR abs/2510.08226 (2025)
[i552]Jian Zhu, Zhidong Lin, Wensheng Gan, Ruichu Cai, Zhifeng Hao, Philip S. Yu:
Efficient Mining of Low-Utility Sequential Patterns. CoRR abs/2510.10243 (2025)
[i551]Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo
, Chunyu Miao, Liancheng Fang, Langzhou He, Renhe Jiang, Philip S. Yu:
DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. CoRR abs/2510.10994 (2025)
[i550]Yuhang Chen, Tianpeng Lv, Siyi Zhang, Yixiang Yin, Yao Wan, Philip S. Yu, Dongping Chen:
Paper2Web: Let's Make Your Paper Alive! CoRR abs/2510.15842 (2025)
[i549]Junyu Ren, Wensheng Gan, Guangyu Zhang, Wei Zhong, Philip S. Yu:
Global-focal Adaptation with Information Separation for Noise-robust Transfer Fault Diagnosis. CoRR abs/2510.16033 (2025)
[i548]Yingguang Yang, Xianghua Zeng, Qi Wu, Hao Peng, Yutong Xia, Hao Liu, Bin Chong, Philip S. Yu:
RoBCtrl: Attacking GNN-Based Social Bot Detectors via Reinforced Manipulation of Bots Control Interaction. CoRR abs/2510.16035 (2025)
[i547]Li Sun, Zhenhao Huang, Ming Zhang, Philip S. Yu:
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models. CoRR abs/2510.17457 (2025)
[i546]Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu:
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies. CoRR abs/2510.22095 (2025)
[i545]Jiayi Kuang, Yinghui Li, Xin Zhang, Yangning Li, Di Yin, Xing Sun, Ying Shen, Philip S. Yu:
Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents. CoRR abs/2510.25694 (2025)
[i544]Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu:
Robust Graph Condensation via Classification Complexity Mitigation. CoRR abs/2510.26451 (2025)
[i543]Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu:
Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments. CoRR abs/2511.02354 (2025)
[i542]Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu:
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning. CoRR abs/2511.05592 (2025)
[i541]Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma:
S2Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. CoRR abs/2511.07006 (2025)
[i540]Jiangshu Du, Wenpeng Yin, Philip S. Yu:
ScaleFormer: Span Representation Cumulation for Long-Context Transformer. CoRR abs/2511.10029 (2025)
[i539]Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Zihe Song, Jindong Wang, Philip S. Yu:
LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering. CoRR abs/2511.15424 (2025)
[i538]Xingtao Zhao, Hao Peng, Dingli Su, Xianghua Zeng, Chunyang Liu, Jinzhi Liao, Philip S. Yu:
SeSE: A Structural Information-Guided Uncertainty Quantification Framework for Hallucination Detection in LLMs. CoRR abs/2511.16275 (2025)
[i537]Kay Liu, Yuwei Han, Haoyan Xu, Henry Peng Zou, Yue Zhao
, Philip S. Yu:
TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs. CoRR abs/2511.21624 (2025)
[i536]Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu:
Hyperbolic Continuous Structural Entropy for Hierarchical Clustering. CoRR abs/2512.00524 (2025)
[i535]Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S. Yu:
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees. CoRR abs/2512.04550 (2025)
[i534]Shanghao Li, Jinda Han, Yibo Wang, Yuanjie Zhu, Zihe Song, Langzhou He, Kenan Kamel A Alghythee, Philip S. Yu:
Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment. CoRR abs/2512.09148 (2025)
[i533]Bobo Li, Xudong Han, Jiang Liu, Yuzhe Ding, Liqiang Jing, Zhaoqi Zhang, Jinheng Li, Xinya Du, Fei Li, Meishan Zhang, Min Zhang, Aixin Sun, Philip S. Yu, Hao Fei:
Event Extraction in Large Language Model. CoRR abs/2512.19537 (2025)
[i532]Huashen Lu, Wensheng Gan, Guoting Chen, Zhichao Huang, Philip S. Yu:
Graph Attention-based Adaptive Transfer Learning for Link Prediction. CoRR abs/2512.22252 (2025)- 2024
[j586]Jinqi Lai
, Wensheng Gan
, Jiayang Wu, Zhenlian Qi, Philip S. Yu
:
Large language models in law: A survey. AI Open 5: 181-196 (2024)
[j585]Heng Xu
, Tianqing Zhu
, Lefeng Zhang
, Wanlei Zhou
, Philip S. Yu
:
Machine Unlearning: A Survey. ACM Comput. Surv. 56(1): 9:1-9:36 (2024)
[j584]Huiqiang Chen
, Tianqing Zhu
, Tao Zhang
, Wanlei Zhou
, Philip S. Yu
:
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Comput. Surv. 56(2): 39:1-39:37 (2024)
[j583]Yao Wan
, Zhangqian Bi
, Yang He
, Jianguo Zhang
, Hongyu Zhang
, Yulei Sui
, Guandong Xu
, Hai Jin
, Philip S. Yu
:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. ACM Comput. Surv. 56(12): 309:1-309:41 (2024)
[j582]Xinqi Du
, Hechang Chen
, Yongheng Xing
, Philip S. Yu
, Lifang He:
A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. Expert Syst. Appl. 245: 123158 (2024)
[j581]Yao Chen
, Wensheng Gan
, Gengsen Huang
, Yongdong Wu
, Philip S. Yu
:
Privacy-preserving federated discovery of DNA motifs with differential privacy. Expert Syst. Appl. 249: 123799 (2024)
[j580]Liangqi Yuan
, Ziran Wang
, Lichao Sun
, Philip S. Yu
, Christopher G. Brinton
:
Decentralized Federated Learning: A Survey and Perspective. IEEE Internet Things J. 11(21): 34617-34638 (2024)
[j579]Shicheng Wan, Hong Lin, Wensheng Gan
, Jiahui Chen
, Philip S. Yu
:
Web3: The Next Internet Revolution. IEEE Internet Things J. 11(21): 34811-34825 (2024)
[j578]Yijie Gui, Wensheng Gan
, Yongdong Wu
, Philip S. Yu
:
Privacy preserving rare itemset mining. Inf. Sci. 662: 120262 (2024)
[j577]Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu:
PyGOD: A Python Library for Graph Outlier Detection. J. Mach. Learn. Res. 25: 141:1-141:9 (2024)
[j576]Zefeng Chen
, Wensheng Gan
, Gengsen Huang
, Yanxin Zheng, Philip S. Yu
:
Towards utility-driven contiguous sequential patterns in uncertain multi-sequences. Knowl. Based Syst. 284: 111314 (2024)
[j575]Han Chen
, Yuhua Li
, Philip S. Yu, Yixiong Zou
, Ruixuan Li:
DCMSL: Dual influenced community strength-boosted multi-scale graph contrastive learning. Knowl. Based Syst. 304: 112472 (2024)
[j574]Hao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu:
Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems. Int. J. Mach. Learn. Cybern. 15(1): 1-2 (2024)
[j573]Li Sun
, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. 15(4): 1397-1413 (2024)
[j572]Zhongyuan Jiang, Haibo Liu, Jing Li, Xinghua Li, Jianfeng Ma, Philip S. Yu:
Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk. Int. J. Mach. Learn. Cybern. 15(11): 4959-4971 (2024)
[j571]Guangsi Shi
, Daokun Zhang
, Ming Jin
, Shirui Pan
, Philip S. Yu
:
Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks 176: 106341 (2024)
[j570]Qian Li
, Jianxin Li
, Jia Wu
, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu
:
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks 179: 106479 (2024)
[j569]Lilin Zhang
, Ning Yang
, Yanchao Sun
, Philip S. Yu
:
Provable Unrestricted Adversarial Training Without Compromise With Generalizability. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8302-8319 (2024)
[j568]Xinqi Du
, Hechang Chen
, Che Wang, Yongheng Xing, Jielong Yang
, Philip S. Yu, Yi Chang, Lifang He:
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145: 109917 (2024)
[j567]Jiayang Wu, Wensheng Gan
, Han-Chieh Chao
, Philip S. Yu
:
Geospatial Big Data: Survey and Challenges. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17007-17020 (2024)
[j566]Jiushun Ma
, Yuxin Huang
, Linqin Wang
, Xiang Huang
, Hao Peng
, Zhengtao Yu
, Philip S. Yu
:
Augmenting Low-Resource Cross-Lingual Summarization with Progression-Grounded Training and Prompting. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(9): 129:1-129:22 (2024)
[j565]Xiang Huang
, Hao Peng
, Dongcheng Zou
, Zhiwei Liu
, Jianxin Li
, Kay Liu
, Jia Wu
, Jianlin Su
, Philip S. Yu
:
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2800-2813 (2024)
[j564]Ran Song, Xiang Huang
, Hao Peng
, Shengxiang Gao
, Zhengtao Yu
, Philip S. Yu
:
WDEA: The Structure and Semantic Fusion With Wasserstein Distance for Low-Resource Language Entity Alignment. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4511-4525 (2024)
[j563]Linqin Wang
, Xiang Huang
, Zhengtao Yu
, Hao Peng
, Shengxiang Gao
, Cunli Mao
, Yuxin Huang
, Ling Dong, Philip S. Yu
:
Zero-Shot Text Normalization via Cross-Lingual Knowledge Distillation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4631-4646 (2024)
[j562]Senzhang Wang
, Changdong Wang, Di Jin
, Shirui Pan
, Philip S. Yu:
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems. IEEE Trans. Big Data 10(6): 682 (2024)
[j561]Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li, Zefan Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang, Jian Weng, Philip S. Yu:
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7467-7483 (2024)
[j560]Zhixiao Wang
, Yahui Chai, Chengcheng Sun
, Xiaobin Rui
, Hao Mi, Xinyu Zhang
, Philip S. Yu
:
A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs. IEEE Trans. Cybern. 54(2): 1037-1047 (2024)
[j559]Bin Pu
, Jiansong Liu, Yan Kang
, Jianguo Chen, Philip S. Yu
:
MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting. IEEE Trans. Cybern. 54(3): 1582-1595 (2024)
[j558]Jia Wu, Jian Yang, Philip S. Yu, Carlo Condo:
Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications. IEEE Trans. Emerg. Top. Comput. 12(2): 402 (2024)
[j557]Yupeng Chang
, Xu Wang
, Jindong Wang
, Yuan Wu
, Linyi Yang
, Kaijie Zhu
, Hao Chen
, Xiaoyuan Yi
, Cunxiang Wang
, Yidong Wang
, Wei Ye
, Yue Zhang
, Yi Chang
, Philip S. Yu
, Qiang Yang, Xing Xie
:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024)
[j556]Chunkai Zhang
, Yuting Yang
, Zilin Du
, Wensheng Gan
, Philip S. Yu
:
HUSP-SP: Faster Utility Mining on Sequence Data. ACM Trans. Knowl. Discov. Data 18(1): 5:1-5:21 (2024)
[j555]


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID