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ORCID34th CIKM 2025: Seoul, Korea
- Meeyoung Cha
, Chanyoung Park, Noseong Park, Carl Yang, Senjuti Basu Roy, Jessie Li, Jaap Kamps, Kijung Shin, Bryan Hooi, Lifang He:
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025. ACM 2025, ISBN 979-8-4007-2040-6
Keynote Talks
- Yong-Yeol Ahn:
The Geometry of Knowledge and Computational Discovery. 1 - Sihem Amer-Yahia:
AI Planning for Data Exploration. 2 - Haesun Park:
Numerical Linear Algebraic Foundations for Large-Scale Unsupervised Learning. 3
Full Research Papers
- Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Michalis Vazirgiannis:
ADMP-GNN: Adaptive Depth Message Passing GNN. 4-13 - Manasvi Aggarwal, Jahnavi Methukumalli, Deepanshu Bagotia, Suhas Powar:
EvenOddML: Even and Odd Aggregation with Multi-Level Contrastive Learning for Bipartite Graph. 14-24 - Faizan Ahemad:
Quantization Aware Matryoshka Adaptation: Leveraging Matryoshka Learning, Quantization, and Bitwise Operations for Reduced Storage and Improved Retrieval Speed. 25-34 - Faizan Ahemad:
Efficient Knowledge Transfer from Large to Small Language Models via Low-Overhead Query Mechanism. 35-44 - Julien Ah-Pine, Nathaniel Gbenro:
Mixed data k-Anonymization by Consistent Maximal Association and Microaggregation. 45-54 - Chunyan An, Yuying Huang, Qiang Yang, Siyu Yuan, Zhixu Li:
LLM-Powered Information Extraction for the Dairy Financial Domain: Tackling Data Scarcity and Ambiguity. 55-64 - Shivvrat Arya, Smita Ghosh, Bryan Maruyama, Venkatesh Srinivasan:
RELINK: Edge Activation for Closed Network Influence Maximization via Deep Reinforcement Learning. 65-76 - Ali Assi, Nour El Islem Karabadji, Mohamed Elati, Wajdi Dhifli:
Learning Global-Local Multi-Scale Node Embeddings with Random Walks and Landmark-Guided Optimization. 77-86 - Hugo Attali, Thomas Papastergiou, Nathalie Pernelle, Fragkiskos D. Malliaros:
Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks. 87-97 - Julien Audiffren, Christophe Broillet, Ljiljana Dolamic, Philippe Cudré-Mauroux:
Extreme Multi-Label Completion for Semantic Document Tagging with Taxonomy-Aware Parallel Learning. 98-108 - Hye-Yoon Baek, Jinho Choi, Jimyeung Seo, Xiongnan Jin, Dongcheon Lee, Byungkook Oh:
Relation-Faceted Graph Pooling with LLM Guidance for Dynamic Span-Aware Information Extraction. 109-118 - Ilwoong Baek, Mincheol Yoon, Seongmin Park, Jongwuk Lee:
MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation. 119-128 - Namita Bajpai, Jiaul H. Paik, Sudeshna Sarkar:
Subclass-Aware Inclusive Classifier via Repulsive Hidden Strata. 139-148 - Michael Ben Ali, Imen Megdiche, André Péninou, Olivier Teste:
A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew. 149-158 - Tianyu Cai, Xiaodi Huang, Tao Zhou, Yanting Li, Shenggen Ju:
Large Model Annotation-Enhanced Spatio-Temporal Fusion Knowledge Tracing Model. 159-168 - Zi Cai, Yu Liu, Zhiyao Luo, Tingting Zhu:
ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions. 169-178 - Yang Cao, Bo Chen, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan:
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling. 179-188 - Yuehang Cao, Xiang Zhao, Yang Fang, Yan Pan, Jiuyang Tang:
Dynamic Graph Learning via Historical Information Perception and Multi-Granular Temporal Curriculum Learning. 189-198 - Chen-Hao Chang, Hui-Ju Hung, Chia-Hsun Lu, Chih-Ya Shen:
Enhancing Contrastive Link Prediction With Edge Balancing Augmentation. 199-208 - Ching Chang, Ming-Chih Lo, Wen-Chih Peng, Tien-Fu Chen:
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation. 209-220 - Tianyu Chang, Dongming Chen, Dongqi Wang:
Multivariate Wind Power Time Series Forecasting with Noise-Filtering Neural ODEs. 221-230 - Biao Chen, Junhua Fang, Pingfu Chao, An Liu, Pengpeng Zhao, Lei Zhao:
Stamp: Semantic-Aware Sub-trajectory Anomaly Detection with Diffusion Multi-model Pool for Evolving Data Streams. 231-240 - Haoran Chen, Dongmei Han:
Spreader Behavior Forecasting: Intent-aware Neural Processes for Intervening Misinformation. 241-249 - Hongyi Chen, Jingtao Ding, Xiaojun Liang, Yong Li, Xiao-Ping Zhang:
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data. 250-259 - Jerry Chen, Qikai Lu, Ruiqing Tian, Di Niu, Baochun Li:
HyperGenFL: Hypernetwork-Generated Model Aggregation in Federated Learning. 260-269 - Jie Chen, Honghui Du, Dairui Liu, Siteng Ma, Brian MacNamee, Ruihai Dong:
ActiViz: Understanding Sample Selection in Active Learning through Boundary Visualization. 270-279 - Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang:
CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3. 280-290 - Lining Chen, Qingwen Zeng, Huaming Chen:
M-LLM3REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs. 291-300 - Minping Chen, Ruijia Yang, Zeyi Wen:
Efficient Mask Learning for Language Model Fine-Tuning. 301-311 - Qin Chen, Guojie Song:
Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity. 312-321 - Xiaocong Chen, Siyu Wang, Lina Yao:
Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation. 322-331 - Xiaocong Chen, Siyu Wang, Lina Yao:
Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior. 332-341 - Xiaoqing Chen, Zitao Xu, Weike Pan, Zhong Ming:
Target Item-oriented Conditional Diffusion Differential Transformer for Next-Item Prediction. 342-352 - Yifei Chen, Xiaolin Xiao, Yue-Jiao Gong:
ConsensNet: A Unified Consensus-Centric Framework for Incomplete Multi-View Clustering. 363-372 - Yijun Chen, Bohan Li, Yicong Li, Lixiang Song, Haofen Wang, Wenlong Wu, Junnan Zhuo, Hongzhi Yin:
NR-GCF: Graph Collaborative Filtering with Improved Noise Resistance. 373-382 - Yuyan Chen, Lei Xia, Jinghan Cao, Zhendong Hou, Weinan Dai, Zhixu Li:
High-Context Empathy in Conversations for Large Language Models. 383-392 - Zekai Chen, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang:
Rethinking Client-oriented Federated Graph Learning. 393-402 - Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu:
Hypercomplex Prompt-aware Multimodal Recommendation. 403-414 - Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun:
FROG: Fair Removal on Graph. 415-424 - Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Shuaiqiang Wang, Baotian Hu, Dawei Yin:
Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection. 425-435 - Yiruo Cheng, Hongjin Qian, Fengran Mo, Yongkang Wu, Zhonghua Li, Qi Ye, Ji-Rong Wen, Zhicheng Dou:
Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation. 436-447 - Hyunmin Choi:
PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption. 448-457 - Kangmin Choi, Geon Shin, Jungwoo Yang, Hyunjoon Kim:
DYCOR: Capturing Hidden Stock Relationships for Stock Trend Prediction. 458-467 - Yun Young Choi, Kyujin Han, Joohwan Ko, Sangwook Baek, Seunghwan Lee:
Learnable Orthogonal Decomposition for Non-Regressive Prediction for PDE. 468-477 - Zheng Cui, Dong Nie, Pengcheng Xue, Xia Wu, Daoqiang Zhang, Xuyun Wen:
BrainX: A Universal Brain Decoding Framework with Feature Disentanglement and Neuro-Geometric Representation Learning. 478-487 - Zhehao Dai, Guojiang Shen, Yuyue Hu, Jiaxin Du, Xiao Han, Xiangjie Kong:
FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes. 488-497 - Afrin Dange, Sunita Sarawagi:
TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates. 498-507 - Dinuka Manohara de Zoysa, James Bailey, Renata Borovica-Gajic:
ExplorAct: Context-Aware Next Action Recommendations for Interactive Data Exploration. 509-519 - Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Jie Gao, Haifeng Chen:
Correlation-aware Online Change Point Detection. 520-530 - Jianfeng Deng, Qingfeng Chen, Debo Cheng, Xiaojing Du, Jiuyong Li, Lin Liu:
Mitigating Latent Confounding Bias in Recommender Systems. 531-541 - Zehao Deng, Qingzhi Ma, An Liu:
DDE-CLIP: Detail-Guided Dual-Modal Enhancement for Zero-Shot Anomaly Detection. 542-552 - Zerong Deng, Liangzhe Han, Tongyu Zhu, Ziqi Miao, Yi Xu, Leilei Sun:
Urban In-context Learning: A New Paradigm for Urban Indicator Prediction. 553-563 - Zhirui Deng, Jingfen Qiao, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke:
DIVAgent: A Diversified Search Agent that Mimics the Human Search Process. 564-574 - Guohui Ding, Zhonghua Li, Rui Zhou, Qian Gao:
Unsupervised Adversarial Contrastive Hashing for Cross-Modal Retrieval. 575-584 - Guoxuan Ding, Junhao Zhou, Yuqing Li, Xiaobo Guo, Xin Wang, Daren Zha:
EventPuzzle: A Benchmark for Multi-Perspective Event Prediction Based on Event Arguments. 585-594 - Wei Ding, Hanpeng Jiang, Ruibo Xiong, Yongrong Wu, Jingan Chen, Lifan Chen, Pengfei Ding, Fan Lin:
Adaptive Bidirectional State Space Model for High-frequency Portfolio Management. 595-604 - Pia Donabauer, David Elsweiler:
Exploring the Impact of Warnings on User Perception towards AI-Generated Content in Search Results. 605-614 - Haizhou Du, Pengfei Li:
Decoupling Feature Entanglement for Personalized Federated Learning via Neural Collapse. 615-624 - Ziheng Duan, Xi Li, Zhiqing Xiao, Rex Ying, Jing Zhang:
MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments. 625-634 - Deokjun Eom, Nahyun Kim, Woo Hyun Nam, Kyung-Rae Kim, Chaebin Im, Jungwon Park:
Hearable Image: On-Device Image-Driven Sound Effect Generation for Hearing What You See. 635-644 - Kangjia Fan, Yilong Zhao, Daifeng Li, Changze Lin, Weijun Zhang, Zhiwen Zhong:
LLM-Enhanced Generalized Category Discovery via Iterative Graph Diffusion. 645-654 - Yongfu Fan, Jin Chen, Yangzixuan Jiao, Ximu Zeng, Liwei Deng, Kai Zheng:
Enhancing Multi-Behavior Sequential Recommenders with Behavior-Aware Regularization. 655-664 - Kejie Fang, Kun Zhai, Xingjun Ma:
MMFair: Fair Learning via Min-Min Optimization. 665-674 - Min Gao, Qiang Duan, Boen Liu, Yu Xiao, Xin Wang, Yang Chen:
Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection. 675-685 - Shanyang Gao, Shanfeng Wang, Lanyu Yao, Jianzhao Li, Zhao Wang, Maoguo Gong, Ke Pan:
DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation. 686-695 - Yifan Gao, Boming Zhao, Haocheng Peng, Hujun Bao, Jiashu Zhao, Zhaopeng Cui:
Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting. 696-706 - Zhaolin Gao, Joyce Zhou, Yijia Dai, Thorsten Joachims:
LangPTune: Optimizing Language-based User Profiles for Recommendation. 707-717 - Indrajeet Ghosh, Garvit Chugh, Abu Zaher Md Faridee, Nirmalya Roy:
High-Order Moments Conditional Domain Adaptation Networks for Wearable Human Activity Recognition. 718-728 - Karan Goyal, Saankhya Samanta, Vikram Goyal, Mukesh K. Mohania:
PathLens: Structurally Enhancing Heterophilic Graphs for GNNs. 729-739 - Quanlong Guan, Xiuliang Duan, Zhi Chen, Xingyu Zhu, Jianbo Huang, Xinzhong Liu, Zonglin Liu, Liangda Fang:
PERC: A Prior-Guided Framework for Classifying Long-Content Educational Resources with Imbalanced Category Distributions. 740-749 - Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li:
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. 750-760 - Hao Guo, Erpeng Xue, Lei Huang, Shichao Wang, Xiaolei Wang, Lei Wang, Jinpeng Wang, Zeshun Li, Sheng Chen:
Twin-Flow Generative Ranking Network for Recommendation. 771-780 - Jiayi Guo, Jiangning He, Chenyan Wang, Xinran Wu:
When Variety Seeking Meets Multi-Sided Recommendation Fairness: A Consistent and Personalized Multi-Objective Optimization Framework. 781-790 - Kehan Guo, Zhen Liu, Zhichun Guo, Bozhao Nan, Olexandr Isayev, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang:
Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions. 791-801 - Farnoosh Hashemi, Laks V. S. Lakshmanan:
KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation. 802-812 - Enbo He, Yitong Hao, Yue Zhang, Guisheng Yin, Lina Yao:
Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks. 813-822 - Ming He, Wenbo Luo, Yongjie Zheng, Junkai Zhang, Xiaolei Gao:
EEG-FSL: An EEG-Based Few-Shot Learning Framework for Music Recommendation. 823-832 - Ming He, Yongjie Zheng, Changle Li, Man Zhou:
Improving the Safety of Medication Recommendation via Graph Augmented Patient Similarity Network. 833-842 - Zhongmou He, Jing Zhu, Shengyi Qian, Joyce Chai, Danai Koutra:
LinkGPT: Leveraging Large Language Models for Enhanced Link Prediction in Text-Attributed Graphs. 843-853 - Minji Heo, Simon S. Woo:
FakeChain: Exposing Shallow Cues in Multi-Step Deepfake Detection. 855-866 - Yimin Hou, Yue Kou, Derong Shen, Xiangmin Zhou, Dong Li, Tiezheng Nie, Ge Yu:
LeadFairRec: LLM-enhanced Discriminative Counterfactual Debiasing for Two-sided Fairness in Recommendation. 867-876 - Bay-Yuan Hsu, Chia-Hsun Lu, Chih-Ya Shen:
Model-Agonistic Iterative Graph Diversification for Improving Learning to Solve Graph Optimization Problems. 877-887 - Jingxian Hu, Guozhang Sun, Xin Wang, Yuhai Zhao, Yuan Li, Xingwei Wang:
GRIT: An Accurate and Efficient Graph Stream Summarization for Temporal Query. 888-897 - Xinchao Hu, Yuan Li, Feng Guo, Shan Huang, Guoli Yang, Yuhai Zhao:
Distributed Computation of k-Vertex Connected Components in Large Scale Networks. 898-907 - Yang Hu, Shaobo Li, Dawen Xia, Zhiheng Zhou, Wenyong Zhang, Huaqing Li, Xingxing Zhang, Senzhang Wang:
Mixture of Semantic and Spatial Experts for Explainable Traffic Prediction. 908-917 - Zheng Hu, Boyu Yang, Weiguo Zheng:
Revisiting the Inner Product Method: Optimizing Sparse Matrix Multiplication via Set Intersection. 918-927 - Jiahao Hua, Long Yuan, Qingshuai Feng, Qiang Fan, Shan Huang:
CS-Agent: LLM-based Community Search via Dual-agent Collaboration. 928-938 - Feng Huang, Yuhang Xia, Ziyan Wang, Liuqing Yang, Wen Zhang:
Geometric Heterogeneous Graph Neural Network for Protein-Ligand Binding Affinity Prediction. 939-948 - Hongtao Huang, Xiaojun Chang, Lina Yao:
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models. 949-959 - Jintao Huang, Dong Wang, Shasha Li, Yuanxi Peng, Ruochun Jin:
Enhancing Multimodal Entity Linking via Distillation and Multimodal Large Language Models. 960-969 - Xiaojia Huang, Ruifang He, Fei Huang, Bo Wang, Sen Yao, Xiaohong Li:
Hyperspherical Dynamic Multi-Prototype with Arguments Dependencies and Role Consistency for Event Argument Extraction. 970-979 - Zhengqi Huang, Wei Li, Chuang Dong, Mingxin Liu:
OFIA: An Object-centric Fine-grained Alignment Enhancement for Video-Text Retrieval. 980-989 - Tingfeng Hui, Lulu Zhao, Guanting Dong, Yaqi Zhang, Sen Su:
Unlocking the Potential of Smaller Language Models as Superior Instruction Evolvers. 990-1000 - Ornella Irrera, Stefano Marchesin, Gianmaria Silvello, Omar Alonso:
Scaling Trust: Veracity-Driven Defect Detection in Entity Search. 1001-1012 - Soumyadeep Jana, Abhrajyoti Kundu, Sanasam Ranbir Singh:
Deep Modality-Disentangled Prompt Tuning for Few-Shot Multimodal Sarcasm Detection. 1013-1023 - Byungwoo Jang, Jinhee Park, Eunil Park:
Streamlining Feature Interactions via Selectively Crossing Vectors for Click-Through Rate prediction. 1024-1034 - Donghyun Jeon, Lijing Zhu, Haifang Li, Pengze Li, Jingna Feng, Tiehang Duan, Houbing Herbert Song, Cui Tao, Shuteng Niu:
Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults. 1035-1045 - Hyerim Jeon, Wen-Syan Li:
Identifying Critical Segments Affecting Piano Performance Evaluation. 1046-1056 - Hyotaek Jeon, Hyunwook Lee, Juwon Kim, Sungahn Ko:
ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting. 1057-1067 - Jaehyun Jeon, Seungwoo Jeong, Yeajin Shon, Heung-Il Suk:
Parameter-Efficient Transfer Learning for EEG Foundation Models via Task-Relevant Feature Focusing. 1068-1077 - Jihyeong Jeon, Jiwon Lee, Cheol Ryu, U Kang:
Entity-Aware Generative Retrieval for Personalized Contexts. 1078-1090 - Minsun Jeon, Simon S. Woo:
Seeing Through the Blur: Unlocking Defocus Maps for Deepfake Detection. 1091-1102 - Yujin Jeon, Jooyoung Kim, Joonseok Lee:
Local Large Language Models for Recommendation. 1103-1113 - Seungwoo Jeong, Junghyo Sohn, Jaehyun Jeon, Heung-Il Suk:
Frequency-Conditioned Diffusion Models for Time Series Generation. 1114-1123 - Yanbiao Ji, Chang Liu, Xin Chen, Dan Luo, Mei Li, Yue Ding, Wenqing Lin, Hongtao Lu:
From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. 1124-1134 - Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Shenglin Zhang, Yongqian Sun:
Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge. 1135-1144 - Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang:
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems. 1145-1155 - Weitao Jia, Shuo Yin, Zhoufutu Wen, Han Wang, Zehui Dai, Kun Zhang, Zhenyu Li, Tao Zeng, Xiaohui Lv:
SUMMA: A Multimodal Large Language Model for Advertisement Summarization. 1156-1167 - Gongyao Jiang, Qiong Luo:
Chart-CoCa: Self-Improving Chart Understanding of Vision LMs via Code-Driven Synthesis and Candidate-Conditioned Answering. 1168-1178 - Runhao Jiang, Renchi Yang, Wenqing Lin:
Community-Aware Social Community Recommendation. 1179-1189 - Ruobing Jiang, Mengzhe Liu, Haobing Liu, Yanwei Yu:
Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification. 1190-1199 - Ruobing Jiang, Yang Liu, Haobing Liu, Yanwei Yu, Chunyang Wang:
Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery. 1200-1209 - Weihao Jiang, Yao Fu, Hong Zhao, Xiaoyu Cai, Ruiheng Yang, Linsen Li, Jiang Zhu:
Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation. 1210-1219 - Haotian Jin, Haihui Fan, Jinchao Zhang, Yang Li, Bo Li, Junhao Zhou:
Dangerous Language Habits! Exploiting Code-Mixing for Backdoor Attacks on NLP Models. 1220-1230 - Xianglong Jin, Zheng Wang, Wenjie Zheng, Feiping Nie:
Point-DMAE: Point Cloud Self-supervised Learning via Density-directed Masked Autoencoders. 1231-1238 - Weikai Jing, Yuchen Wang, Haotong Du, Songxin Wang, Xiaoyu Li, Chao Gao:
Enhancing Information Diffusion Prediction via Multiple Granularity Hypergraphs and Position-aware Sequence Model. 1239-1248 - Wansik Jo, Jooyeong Na, Soyeon Hong, Seungtaek Choi, Hyunsouk Cho:
Rethinking the Training Paradigm of Discrete Token-Based Multimodal LLMs: An Analysis of Text-Centric Bias. 1249-1259 - Jaehwan Jung, Jong-June Jeon:
Generalizing Query Performance Prediction under Retriever and Concept Shifts via Data-driven Correction. 1261-1271 - Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar:
Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead. 1272-1281 - Jinho Kang, Sungjun Lim, Hojun Park, Jiyoung Jung, Jaehun Jung, Kyungwoo Song:
Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis. 1282-1291 - Minku Kang, Hogun Park:
Curriculum Guided Personalized Subgraph Federated Learning. 1292-1301 - Heegyu Kim, Taeyang Jeon, Seungtaek Choi, Jihoon Hong, Dongwon Jeon, Ga-Yeon Baek, Gyeong-Won Kwak, Dong-Hee Lee, Jisu Bae, Chihoon Lee, Yoon-Seo Kim, Seon-Jin Choi, Jin Seong Park, Sung Beom Cho, Hyunsouk Cho:
Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge. 1302-1312 - Hyunju Kim, Dongman Lee:
Self-supervised Dual-view Framework with Tailored Negative Sampling for New Activity Detection. 1313-1323 - Jinwoo Kim, Jongyun Shin, Sangho An, Jangho Kim:
Exploring Diverse Sparse Network Structures via Dynamic Pruning with Weight Alignment. 1324-1333 - Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Keejun Han, Mun Yong Yi:
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. 1334-1343 - Juwon Kim, Hyunwook Lee, Hyotaek Jeon, Seungmin Jin, Sungahn Ko:
From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets. 1344-1353 - Kyungho Kim, Sunwoo Kim, Geon Lee, Kijung Shin:
A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation. 1354-1363 - Min-Ji Kim, Seong-Jin Park, Jaehwan Ha, Ju-Won Seo, Dinara Aliyeva, Kang-Min Kim:
From Menus to the Interactive Food-Ordering Systems. 1364-1374 - Miru Kim, Mugon Joe, Minhae Kwon:
OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System. 1375-1385 - Ungsik Kim, Jiho Bae, Sang-Min Choi, Suwon Lee:
Online Activation Value-aware Clustering and Aggregation for Faithful Argumentative Explanations. 1386-1395 - Yongjae Kim, Wonjae Lee:
Where Does Legal AI Fail? Evaluating RAG Pipelines. 1396-1405 - Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas:
Constructing Set-Compositional and Negated Representations for First-Stage Ranking. 1406-1416 - Nico Lässig, Melanie Herschel:
FairRegBoost: An End-to-End Data Processing Framework for Fair and Scalable Regression. 1417-1427 - Ah-Hyun Lee, Gordon Euhyun Moon:
D-HAT: Dynamic Hypergraph Representation Learning with Attention-Based Multi-Level Hypergraph Sampling. 1428-1437 - Cameron Lee, Matthew L. Daggitt, Yansong Gao, Jin B. Hong:
Advanced Privacy Protection in Federated Learning using Server-initiated Homomorphic Encryption. 1438-1448 - Chanwoo Lee, Youngjin Park, Hyeongeun Lee, Yeeun Yoo, Daehee Han, Junho Choi, Geonhyeong Kim, Nari Kim, Jaesik Choi:
Amortized Baseline Selection via Rank-Revealing QR for Efficient Model Explanation. 1449-1457 - Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong, U Kang:
Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction. 1458-1467 - Jaeri Lee, U Kang:
Context-aware Sequential Bundle Recommendation via User-specific Representations. 1468-1476 - Junkyu Lee, Jongik Kim:
Learning Graph Edit Distance via Node Matching Patterns. 1477-1486 - Seungjoo Lee, Yong-chan Park, U Kang:
SwaGNER: Leveraging Span-aware Grid Transformers for Accurate Nested Named Entity Recognition. 1487-1496 - Unggi Lee, Jaeyong Lee, Jiyeong Bae, Yeil Jeong, Junbo Koh, Gyeonggeon 'Boaz' Lee, Gunho Lee, Taekyung Ahn, Hyeoncheol Kim:
Pedagogy-R1: Pedagogical Large Reasoning Model and Well-balanced Educational Benchmark. 1497-1507 - Yubeen Lee, Sangeun Lee, Junyeop Cha, Jufeng Yang, Eunil Park:
BOVIS: Bias-Mitigated Object-Enhanced Visual Emotion Analysis. 1508-1518 - Jens Leysen, Marco Favier, Bart Goethals:
What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems. 1519-1529 - Bowen Li, Charu C. Aggarwal, Peixiang Zhao:
Fast Outlier Detection in Oblique Subspaces. 1530-1539 - Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Bridging Queries and Tables through Entities in Open-Domain Table Retrieval. 1540-1550 - Guohao Li, Qi Jiang, Lu Zhou, Li Yang:
Publicly Verifiable and Fault-Tolerant Privacy-Preserving Aggregation for Federated Learning. 1551-1561 - Jiajia Li, Jiming Dong, Lei Li, Yu Yang, Xin Wang, Mengxuan Zhang:
DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective Spatial Keywords. 1562-1571 - Jiatao Li, Yanheng Li, Xinyu Hu, Mingqi Gao, Xiaojun Wan:
Where Do LLMs Go Wrong? Diagnosing Automated Peer Review via Aspect-Guided Multi-Level Perturbation. 1572-1581 - Jihang Li, Jiacheng Qiu, Yin-Ping Zhao, Zeyi Wen:
Tilia: Enhancing LIME with Decision Tree Surrogates. 1582-1592 - Lin Li, Chunyang Li, Yu Yin, Xiaohui Tao, Jianwei Zhang:
A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering. 1593-1602 - Mingyang Li, Shisong Chen, Shengkun Tu, Ziyi Du, Jinghao Zhang, Zhixu Li, Yanghua Xiao:
KUG: Joint Enhancement of Internal and External Knowledge for Retrieval-Augmented Generation. 1603-1612 - Nan Li, Bo Kang, Tijl De Bie:
Content-Agnostic Moderation for Stance-Neutral Recommendations. 1613-1623 - Renrui Li, Qingzhi Ma, Jiajie Xu, Lei Zhao, An Liu:
TKHist: Cardinality Estimation for Join Queries via Histograms with Dominant Attribute Correlation Finding. 1624-1633 - Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin:
Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery. 1634-1642 - Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, Fajie Yuan:
Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights. 1643-1653 - Sijia Li, Min Gao, Zongwei Wang, Yibing Bai, Wuhan Chen:
Linking Ordered and Orderless Modeling for Sequential Recommendation. 1654-1664 - Ting Li, Hanchen Wang, Yiran Li, Xiaolei Liu:
Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction. 1665-1674 - Wei Li, Zhixin Li:
QGCMA: A Framework for Knowledge-Based Visual Question Answering. 1675-1684 - Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang:
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark. 1685-1695 - Xinhui Li, Kun Yue, Lixing Yu, Peizhong Yang:
Structural Entropy-based Multivariate Time Series Forecasting. 1696-1705 - Xuhui Li, Zhengquan Luo, Zihui Cui, Xin Cao, Zhiqiang Xu:
OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation. 1706-1715 - Yuanke Li, Yiyang Liu, Dongmian Zou, Hongfei Wang:
Ensemble Pruning via Graph Neural Networks. 1716-1725 - Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu:
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach. 1726-1736 - Yuxin Li, Chen Xu, Jun Xu, Ji-Rong Wen:
BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process. 1737-1747 - Zheng Li, Xuyun Zhang, Sheng Lu, Hua Deng, Hao Tian, Wanchun Dou:
A Cost-Aware Approach for Collaborating Large Language Models and Small Language Models. 1748-1757 - Zhongbin Li, Lixing Yu, Kun Yue, Xinquan Wu:
Differentiable Probabilistic Logic Reasoning For Knowledge Graph Completion. 1758-1767 - Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Calibrating on Kolmogorov-Arnold Network. 1768-1777 - Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Calibrating on Medical Segmentation Model through Signed Distance. 1778-1787 - Zihan Liang, Yufei Ma, Zhipeng Qian, Huangyu Dai, Zihan Wang, Ben Chen, Chenyi Lei, Yuqing Ding, Han Li:
UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion. 1788-1797 - Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu:
Federated Continual Recommendation. 1798-1808 - Hongxiang Lin, Lei Wang, Huiying Hu, Xiaoqing Lyu:
ConGM: Contrastive Graph Matching for Graph Self-Supervised Learning. 1809-1818 - Li Lin, Yaochang Liu, Kaiwen Xia, Shuai Wang:
To Know What User Concerns: Conceptual Knowledge Reasoning for User Satisfaction Estimation in E-Commerce Dialogue Systems. 1819-1828 - Ze Lin, Yuqiu Qian, Xiaodong Li, Ziyu Lyu, Hui Li:
SC-DAG: Semantic-Constrained Diffusion Attacks for Stealthy Exposure Manipulation in Visually-Aware Recommender Systems. 1829-1838 - Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao:
Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation. 1839-1849 - Jiahao Ling, Xuan Yang, Shimin Gong, Bo Gu:
EAPformer: Entropy-Aware Patch Transformer for Multivariate Long-Term Time Series Forecasting. 1850-1860 - Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim:
From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification. 1861-1871 - Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu:
Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback. 1872-1881 - Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang:
AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting. 1882-1891 - Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu:
LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation. 1892-1902 - Xijuan Liu, Yin Chen, Fan Li, Xiaoyang Wang, Haiyang Hu, Ying Zhang:
Masked Graph Distance Network for Accurate Subgraph Similarity Computation. 1903-1913 - Xingyu Liu, Min Gao, Zongwei Wang, Yinbing Bai:
Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models. 1914-1924 - Yezi Liu, Yanning Shen:
Enabling Group Fairness in Machine Unlearning via Distribution Correction. 1925-1935 - Yibin Liu, Jianyu Zhang, Shijian Li:
Enhancing Recommendation with Reliable Multi-profile Alignment and Collaborative-aware Contrastive Learning. 1936-1946 - Zhen Liu, Yongtao Zhang, Shaobo Ren, Yuxin You:
Structure-Attribute Transformations with Markov Chain Boost Graph Domain Adaptation. 1947-1957 - Andreas Loizou, Dimitrios Tsoumakos:
Chunked Data Shapley: A Scalable Dataset Quality Assessment for Machine Learning. 1958-1967 - Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Harnessing Large Language Models for Group POI Recommendations. 1968-1978 - Haowei Lou, Hye-young Paik, Wen Hu, Lina Yao:
ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation. 1979-1988 - Mengying Lu, Hai-Tao Zheng, Lan Zhou, Qi Li, Jinxiao Shan, Zhixing Li, Hong-Gee Kim:
Dual Denoising Diffusion Model for Session-based Social Recommendation. 1989-1999 - Jie Luo, Ying Pan, Guoliang Huang:
Collaborative Interest Mining Network for Knowledge Graph-based Recommendation. 2000-2010 - Hexuan Lv, Yuhai Zhao, Sice Wang:
LEI: Reinforced Multi-Object Cache Admission. 2011-2021 - Xiao Lv, Jiangxia Cao, Shijie Guan, Xiaoyou Zhou, Zhiguang Qi, Yaqiang Zang, Ben Wang, Guorui Zhou:
MARM: Unlocking the Recommendation Cache Scaling-Law through Memory Augmentation and Scalable Complexity. 2022-2031 - Zhisheng Lv, Jianfeng Zhang, Songlei Jian, Chenlin Huang, Hongguang Zhang, Guansong Pang, Zhong Liu:
MetaCAN: Improving Generalizability of Few-shot Anomaly Detection with Meta-learning. 2032-2041 - Juhao Ma, Shuai Xu, Yicong Li, Xiaoming Fu:
Multimodal Sentiment Analysis with Multi-Perspective Thinking via Large Multimodal Models. 2042-2051 - Weishuo Ma, Yanbo Wang, Xiyuan Wang, Muhan Zhang:
Reconsidering the Performance of GAE in Link Prediction. 2052-2062 - Patryk Marszalek, Maciej Rut, Piotr Kawa, Przemyslaw Spurek, Piotr Syga:
As Good as It KAN Get: High-Fidelity Audio Representation. 2063-2073 - Marcin Mazur, Tadeusz Dziarmaga, Piotr Koscielniak, Lukasz Struski:
Tight Bounds for Jensen's Gap with Applications to Variational Inference. 2074-2083 - Jieyuan Mei, Jindong Tian, Ronghui Xu, Hanyue Wei, Chenjuan Guo, Bin Yang:
FinD3: A Dual 3D State Space Model with Dynamic Hypergraph for Financial Stock Prediction. 2084-2094 - Lang Mei, Sijie Liu, Ziyuan Zhao, Rolan Yan, Jiaxin Mao, Jirong Wen:
Dense Retrieval for Aggregated Search. 2095-2104 - Qing Meng, Huiyu Min, Ming Shan Hee, Roy Ka-Wei Lee, Bing Tian Dai, Shuai Xu:
Usefulness and Diminishing Returns: Evaluating Social Information in Recommender Systems. 2105-2114 - Simone Merlo, Stefano Marchesin, Guglielmo Faggioli, Nicola Ferro:
A Cost-Effective Framework to Evaluate LLM-Generated Relevance Judgements. 2115-2126 - Dezhuang Miao, Yibin Du, Xiang Li, Xiaoming Zhang, Jiahe Li, Bo Zhang, Bingyu Yan, Lian Zhang, Litian Zhang:
Reverse Chain-of-Thought and Causal Path Verification: A Modular Plugin for Aligning LLMs with Knowledge Graphs. 2127-2136 - Fengran Mo, Yuchen Hui, Yuxing Tian, Zhaoxuan Tan, Chuan Meng, Zhan Su, Kaiyu Huang, Jian-Yun Nie:
Towards Adaptive Personalized Conversational Information Retrieval. 2137-2147 - Samaneh Mohammadi, Vasileios Tsouvalas, Iraklis Symeonidis, Ali Balador, Tanir Ozcelebi, Francesco Flammini, Nirvana Meratnia:
EFU: Enforcing Federated Unlearning via Functional Encryption. 2148-2158 - Dmitrii Moor, Emma Zetterdahl, Paul van Vliet, Zhenwen Dai, Mounia Lalmas:
Learning Optimal Personalised Reservation Prices in Impression Ad Auctions with Mixture Density Networks. 2159-2168 - Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge:
Improving Text Embedding Models with Positive-aware Hard-negative Mining. 2169-2178 - Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki, Daisuke Moriwaki:
Latent Variable Modeling for Robust Causal Effect Estimation. 2179-2189 - Wenchuan Mu, Kwan Hui Lim:
Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness. 2190-2200 - Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Dongjie Wang, Zijun Yao:
Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation. 2201-2211 - Julien Nicolas, César Sabater, Mohamed Maouche, Mark Coates, Sonia Ben Mokhtar:
PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems. 2212-2221 - Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen:
Addressing Personalized Bias for Unbiased Learning to Rank. 2222-2231 - Yongkyung Oh, Dongyoung Lim, Sungil Kim, Alex A. T. Bui:
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification. 2232-2242 - Roland Oruche, Alphaeus Dmonte, Vani Seth, Zian Zeng, Yuanxun Zhang, Marcos Zampieri, Prasad Calyam:
Disentangling Complex Questions in LLMs via Multi-Hop Dependency Graphs. 2243-2252 - Lisong Ou, Zhixin Li:
Multimodal Sentiment Analysis via Progressive Fusion of Audio-Visual Affective Descriptions. 2253-2262 - Mithat Can Ozgun, Jiahuan Pei, Koen V. Hindriks, Lucia Donatelli, Qingzhi Liu, Junxiao Wang:
Trustworthy AI Psychotherapy: Multi-Agent LLM Workflow for Counseling and Explainable Mental Disorder Diagnosis. 2263-2272 - Dayan Pan, Zhaoyang Fu, Jingyuan Wang, Xiao Han, Yue Zhu, Xiangyu Zhao:
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models. 2273-2283 - Pengwei Pan, Yu Liu, Jun Ma, Jianfeng Qu, Wen Hua, Yanmei Kang:
MRCLQR: A Framework for Logical Query Reasoning Based on Multi-information Relation Constraints. 2284-2293 - Yuhan Pan, Yanan Sun, Wei Gong:
Revisiting Long-Tailed Learning: Insights from an Architectural Perspective. 2294-2304 - Taegeon Park, Seungho Baek, Jongchan Park, Seungjun Oh, Yusung Kim:
Temporal Distance-aware Subgoal Generation for Offline Hierarchical Reinforcement Learning. 2305-2314 - Maria Angela Pellegrino, Gabriele Tuozzo:
How Fair is FAIR? Understanding LOD Cloud FAIRness Through Correlation Patterns. 2315-2325 - 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. 2326-2335 - Yufei Peng, Cheng Yang, Zhengjie Fan, Chuan Shi:
Data-centric Prompt Tuning for Dynamic Graphs. 2336-2345 - Thinh Pham, Nghiem Tuong Diep, Lizi Liao, Binh T. Nguyen:
DistillCaps: Enhancing Audio-Language Alignment in Captioning via Retrieval-Augmented Knowledge Distillation. 2346-2356 - Matthew Pietrosanu, Bei Jiang, Linglong Kong:
Oblivious Johnson-Lindenstrauss embeddings for compressed Tucker decompositions. 2357-2365 - Bhawna Piryani, Jamshid Mozafari, Abdelrahman Abdallah, Antoine Doucet, Adam Jatowt:
Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data. 2366-2376 - Claudio Pomo, Matteo Attimonelli, Danilo Danese, Fedelucio Narducci, Tommaso Di Noia:
Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation. 2377-2387 - Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li:
Constraint Back-translation Improves Complex Instruction Following of Large Language Models. 2388-2398 - Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang, Chaochao Chen:
Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype. 2399-2408 - Jin Qian, Shiyu Song, Xin Zhang, Dongjing Wang, He Weng, Haiping Zhang, Dongjin Yu:
TCFMamba: Trajectory Collaborative Filtering Mamba for Debiased Point-of-Interest Recommendation. 2409-2419 - Siwei Qiang:
Invariant Treatment Effect Estimation via Consistent Constraints and Information Bottleneck. 2420-2429 - Junming Qiu, Rongzhen Ye, Weilin Luo, Kunxun Qi, Hai Wan, Yue Yu:
OBDD-NET: End-to-End Learning of Ordered Binary Decision Diagrams. 2430-2439 - Junyan Qiu, Ze Wang, Fan Zhang, Zuowu Zheng, Jile Zhu, Jiangke Fan, Teng Zhang, Haitao Wang, Xingxing Wang:
UniROM: Unifying Online Advertising Ranking as One Model. 2440-2449 - Hongbo Qu, Xu Wang, Yurong Song, Wei Ni, Guo-Ping Jiang, Quan Z. Sheng:
GRLND: A Graph Reinforcement Learning Framework for Network Dismantling. 2450-2459 - Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. 2460-2470 - Yue Que, Yingyi Zhang, Xiangyu Zhao, Chen Ma:
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation. 2471-2481 - Rehan Raza, Guanjin Wang, Kok Wai Wong, Hamid Laga, Marco Fisichella:
ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings. 2482-2492 - Kelin Ren, Chan-Yang Ju, Dong-Ho Lee:
Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation. 2493-2502 - Zhaochun Ren, Zhou Yang, Chenglong Ye, Haizhou Sun, Chao Chen, Xiaofei Zhu, Xiangwen Liao:
Fine-Grained Emotion Recognition via In-Context Learning. 2503-2513 - Seongeun Ryu, Yunyong Ko, Sang-Wook Kim:
Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation. 2515-2524 - Danial Saber, Amirali Salehi-Abari:
Empirical Study of Over-Squashing in GNNs and Causal Estimation of Rewiring Strategies. 2525-2534 - Albert Sadowski, Jaroslaw A. Chudziak:
On Verifiable Legal Reasoning: A Multi-Agent Framework with Formalized Knowledge Representations. 2535-2545 - Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Jin Foo, Jia Wu:
STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning. 2546-2555 - You Shang, Xiang He, Ruiyuan Li, Yingying Sun, Guanyao Li, Guangchao Yang, Junbo Zhang, Yu Zheng:
General Adaptive Memory Allocation for Learned Bloom Filters. 2556-2565 - Lin Shen, Chenxu Cui, Jinchao Zhang, Haihui Fan, Haotian Jin, Bo Li:
Retrieval-Augmented Image Captioning via Synthesized Entity-Aware Knowledge Representations. 2566-2576 - Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel:
EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. 2577-2587 - Xiaoxuan Shen, Zhihai Hu, Di Chen, Jianwen Sun, Shengyingjie Liu:
ROKAN: Toward Interpretable and Domain-Robust Memory Behavior Modeling. 2588-2598 - Yili Shen, Yijun Tian, Cheng-Wei Ju, Olaf Wiest, Xiangliang Zhang:
Towards Few-shot Chemical Reaction Outcome Prediction. 2599-2609 - Yijun Sheng, Ximing Chen, Yanyan Liu, Pui Ieng Lei, Zhiguo Gong:
Local Structure-Adaptive Graph Filtering for Collaborative Filtering. 2610-2620 - Yijun Sheng, Pui Ieng Lei, Yanyan Liu, Ximing Chen, Zhiguo Gong:
Learning Invariant Reliability under Diverse Contexts for Robust Multimedia Recommendation. 2621-2631 - Chenglong Shi, Haosen Wang, Pan Tang:
Continuous Data Augmentation via Condition-Tokenized Diffusion Transformer for Sequential Recommendation. 2632-2642 - Haihan Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng:
Incremental Learning for LLM-based Tokenization and Recommendation. 2643-2652 - Jiasheng Shi, Fu Lin, Weixiong Rao, Ze Gao:
SimFormer: Multilevel Transformer on Learnable Mesh Graphs for Engineering Simulation. 2653-2662 - Jinchen Shi, Yang Fang, Zhen Tan, Xin Zhang, Xiang Zhao:
Community Partition-based Source Localization with Adaptive Observers Deployment. 2663-2673 - Qin Shi, Chu Xu, Zongtang Hu, Dong Shen, Dapeng Sun, Lijun Quan:
MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting. 2674-2684 - Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu:
Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation. 2685-2695 - Amitay Sicherman, Kira Radinsky:
Docking-Aware Attention: Dynamic Protein Representations through Molecular Context Integration. 2696-2706 - Bonggeun Sim, Yushin Kim, Minseo Kim, Yeonhong Park, Jae W. Lee:
InstANNS: Scalable Approximate Nearest Neighbor Search via Cost-Efficient In-Storage Processing. 2707-2717 - Chengyu Song, Lin Yang, Jianming Zheng, Jinzhi Liao, Feng Yang, Linru Ma, Fei Cai:
Parse-LLM: A Prior-Free LLM Parser for Unknown System Logs. 2718-2728 - Miao-Hui Song, Lan Zhang, Mu Yuan, Yijun Liu:
ProxySampler: Proxy Informativeness Estimation for Efficient Data Selection in Active Learning. 2729-2739 - Sujeong Song, Junghyo Sohn, Eunsong Kang, Heung-Il Suk:
Quantized Factor Identifiable Causal Effect Variational Autoencoder. 2740-2749 - Tengwei Song, Min Wu, Yuan Fang:
Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration. 2750-2760 - Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu:
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning. 2761-2770 - Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang:
DiRW: Path-Aware Digraph Learning for Heterophily. 2771-2780 - Bo Sun, Zhe Wu, Zhiyuan Deng, Li Su, Qingfang Zheng:
Extracting Global Temporal Patterns Within Short Look-Back Windows for Traffic Forecasting. 2781-2790 - Guozhang Sun, Haoyuan Wang, Yuhai Zhao, Zhengkui Wang, Yuan Li, Xingwei Wang:
Discovering Group Collapser for Network Resilience. 2791-2800 - Lifan Sun, Zichen Yuan, Ersheng Ni, Weihua Cheng, Xinyuan Song, Linkun Dai, Hongwei Jiang, Sibo Xu, Mengmeng Chen, Yucen Zhuang, Yongxin Ni, Youhua Li:
AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing. 2801-2810 - Min Sun, Ke Xu, Jiarong Liu, Jifan Yang, Yan Fang, Weizheng Wang, Qipeng Xie, Shuxin Zhong, Kaishun Wu:
Hearing the Meaning, Not the Mess: Beyond Literal Transcription for Spoken Language. 2811-2820 - Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Dynamic Ensemble Member Selection for Data Stream Classification. 2821-2831 - Yijia Sun, Shanshan Huang, Linxiao Che, Haitao Lu, Qiang Luo, Kun Gai, Guorui Zhou:
MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever. 2832-2841 - Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun:
On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing. 2842-2852 - Gözde Ayse Tataroglu Özbulak, Yash Raj Shrestha, Jean-Paul Calbimonte:
STKGNN: Scalable Spatio-Temporal Knowledge Graph Reasoning for Activity Recognition. 2853-2862 - Dongsheng Tian, Junzhe Jiang, Kai Zhang, Changchun Liu, Yu Yuan, Min Gao, Enhong Chen:
ECG-Doctor: An Interpretable Multimodal ECG Diagnosis Framework Based on Large Language Models. 2863-2873 - Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs, Marian-Andrei Rizoiu:
X-Troll: eXplainable Detection of State-Sponsored Information Operations Agents. 2874-2884 - Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong:
Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing. 2885-2894 - Xiaowei Tian, Xiaoyan Zhang, Xiaofeng Du, Tianbo Lu:
CoHN: Context-Aware Hawkes Graph Network for Temporal Knowledge Graph Reasoning. 2895-2904 - Nimeshika Udayangani, Sarah M. Erfani, Christopher Leckie:
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation. 2905-2914 - Ajim Uddin:
Neural Instrumented Factorization: Learning Dynamic Asset Pricing Factors and Loadings through Characteristics Control. 2915-2924 - Lorenzo Vaiani, Yihao Ding, Luca Cagliero, Jean Lee, Paolo Garza, Josiah Poon, Soyeon Caren Han:
KIEPrompter: Leveraging Lightweight Models' Predictions for Cost-Effective Key Information Extraction using Vision LLMs. 2925-2934 - Minh Phu Vuong, Young-Ju Lee, Iván Ojeda-Ruiz, Chul-Ho Lee:
FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance. 2935-2944 - Bing Wang, Ximing Li, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang:
Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations. 2945-2955 - Binhao Wang, Yutian Xiao, Maolin Wang, Zhiqi Li, Tianshuo Wei, Ruocheng Guo, Xiangyu Zhao:
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation. 2956-2966 - Chunchen Wang, Cheng Yang, Wenchuan Yang, Le Song, Chuan Shi:
Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network. 2967-2976 - Helin Wang, Wei Du, Ning Liu, Qian Li, Yanyu Xu, Lizhen Cui:
AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis. 2977-2986 - Hewen Wang, Renchi Yang, Xiaokui Xiao:
GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. 2987-2997 - Hongtao Wang, Taiyan Zhang, Renchi Yang, Jianliang Xu:
Cequel: Cost-Effective Querying of Large Language Models for Text Clustering. 2998-3008 - Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li:
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models. 3009-3019 - Kaiyu Wang, Lin Mu, Zhiyao Yang, Ximing Li, Xiaotang Zhou, Wanfu Gao, Huimao Zhang:
Weakly Supervised Fine-grained Span-Level Framework for Chinese Radiology Report Quality Assurance. 3020-3030 - Qiu-Yu Wang, Wen-Bo Xie, Tao Deng, Tian Zou, Xuan-Lin Zhu, Xun Fu, Xin Wang:
ACMCG: A Cost-effective Active Clustering with Minimal Constraint Graph. 3031-3040 - Sen Wang, Yizheng Zhao:
Strong Forgetting for ALCQ-Ontologies. 3041-3049 - Shurui Wang, Wenbo Yan, Ying Tan:
Spatio-Temporal Wavelet Enhanced Attention Mamba for Stock Price Forecasting. 3050-3059 - Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-Conditioned Graph Generation. 3060-3070 - Taibo Wang, Yu Gu, Xinning Cui, Zhen Song, Xiaohua Li, Fangfang Li:
LCHGNN: Towards Distributed Hypergraph Neural Network Training Based on Communication Graphs with Lightweight Communication Optimization. 3071-3081 - Wenhao Wang, Mingxin Li, Jiao Qiao, Haotong Du, Xianghua Li, Chao Gao, Zhen Wang:
MFAE: Multimodal Feature Adaptive Enhancement for Fake News Video Detection. 3082-3092 - Xiaojian Wang, Chaoli Zhang, Zhonglong Zheng, Yunliang Jiang:
WDformer: A Wavelet-based Differential Transformer Model for Time Series Forecasting. 3093-3102 - Xiaoyu Wang, Tao Sun, Gengchen Liu, Zhi Yang, Jiahui Liu, Zimeng Xu:
MGFSG-EE: A Method based on Multi-grained Fusion and Scene Graph Enhancement for Event Extraction. 3103-3112 - Xinyi Wang, Zhiyu Zhu, Zhibo Jin, Huaming Chen, Teng Joon Lim:
Rethinking Lipschitzness Data-free Backdoor Defense. 3113-3122 - Xingmei Wang, Shiyao Wang, Wuchao Li, Jiaxin Deng, Song Lu, Defu Lian, Guorui Zhou:
Transformers are Good Clusterers for Lifelong User Behavior Sequence Modeling. 3123-3132 - Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao:
CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation. 3133-3143 - Yang Wang, Miaomiao Li, Jiazhi Ni:
Revisiting Trajectories to Road: A New Diffusion Model and A New Dataset with 1, 000, 000, 000 Points. 3144-3154 - Yansong Wang, Qihui Lin, Junjie Huang, Tao Jia:
Generative Data Augmentation in Graph Contrastive Learning for Recommendation. 3155-3165 - Yilong Wang, Jiahao Zhang, Tianxiang Zhao, Suhang Wang:
Towards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation. 3166-3176 - Yubo Wang, Shimin Di, Zhili Wang, Haoyang Li, Fei Teng, Hao Xin, Lei Chen:
Understanding the Embedding Models on Hyper-relational Knowledge Graph. 3177-3187 - Yufei Wang, Xiang Cheng, Pengfei Zhang, Anxing Wei:
PRIMA: Privacy preserving Multi-dimensional Analytic Approach. 3188-3197 - Yufeng Wang, Yuhong Feng, Yixuan Cao, Haoran Li, Haiyue Feng, Yifeng Wang:
ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph. 3198-3208 - Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao:
Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs. 3209-3219 - Zeqiang Wang, Wing Yan Li, Jon Johnson, Nishanth Sastry, Suparna De:
Beyond Surface Similarity: A Riemannian Hierarchical Ranking Framework for Sociological Concept Equivalence. 3220-3229 - Zhao Wang, Ziliang Zhao, Zhicheng Dou:
TimeRAG: Enhancing Complex Temporal Reasoning with Search Engine Augmentation. 3230-3239 - Zhaoyan Wang, Xiangchi Song, In-Young Ko:
Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes. 3240-3249 - Zhengjia Wang, Qiang Sheng, Danding Wang, Beizhe Hu, Juan Cao:
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection. 3250-3260 - Zhonghao Wang, Yuanchen Bei, Sheng Zhou, Zhiyao Zhou, Jiapei Fan, Hui Xue, Haishuai Wang, Jiajun Bu:
Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction. 3261-3270 - Sabine Wehnert, Pramod Kumar Bontha, Kilian Lüders, Huu Huong Giang Nguyen, Ernesto William De Luca:
Exploration and Visualization of a Legal Knowledge Graph: A Human-Centered Approach. 3271-3281 - Kaihang Wei, Min Teng, Haotong Du, Songxin Wang, Jinhe Zhao, Chao Gao:
CAGCL: A Community-Aware Graph Contrastive Learning Model for Social Bot Detection. 3282-3291 - Qi Wen, Yiyang Zhang, Yutong Ye, Yingbo Zhou, Nan Zhang, Xiang Lian, Mingsong Chen:
GCLS2: Towards Efficient Community Detection Using Graph Contrastive Learning with Structure Semantics. 3292-3301 - Zimo Wen, Hanwen Hu, Nan Fang, Shiyou Qian, Jian Cao:
DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction. 3302-3311 - Xiuting Weng, Lixing Yu, Shaojie Zhan, Ruizhi Pu, Xiaofei Liu:
FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance. 3312-3322 - Gyeongdong Woo, Soyoung Cho, Donghyeon Kim, Kimoon Na, Changhyun Kim, Jinhee Choi, Jong-June Jeon:
CHEM: Causally and Hierarchically Explaining Molecules. 3323-3332 - Binqing Wu, Jianlong Huang, Zongjiang Shang, Ling Chen:
ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting. 3333-3343 - Binqing Wu, Zongjiang Shang, Jianlong Huang, Ling Chen:
MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting. 3344-3354 - Chenghao Wu, Ruiyang Ren, Junjie Zhang, Ruirui Wang, Zhongrui Ma, Qi Ye, Wayne Xin Zhao:
STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning. 3355-3365 - Chenyu Wu, Zhipeng Ma, Junbo Zhang, Songyu Ke, Yu Zheng:
Spatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-Experts. 3366-3375 - Huaming Wu, Lei Tian, Chaogang Tang, Pengfei Jiao, Minxian Xu, Huijun Tang:
Gravity-GNN: Deep Reinforcement Learning Guided Space Gravity-based Graph Neural Network. 3376-3385 - Jianfei Wu, Wenmian Yang, Bingning Liu, Weijia Jia:
TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations. 3386-3395 - Kunbao Wu, Xinning Zhu, Yang Qin, Tieru Wang, Jianzhou Diao, Zheng Hu:
Beyond Return Conditioning: Multi-Scale Sequence Modeling and Advantage-Guided Policy Routing for Offline RL. 3396-3405 - Ruoyu Wu, Wei Bao, Hequn Wang:
Multi-Resource-Aware Admission Control for Online Data Processing. 3406-3415 - Sixing Wu, Jiahao Chen, Yujue Zhou, Zhijun Yang, Wei Zhou:
Asking Questions with Thoughts: An Efficient Difficulty-Controllable Question Generation Method with Posterior Knowledge Distillation. 3416-3426 - Tongzhou Wu, Yuhao Wang, Maolin Wang, Chi Zhang, Xiangyu Zhao:
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings. 3427-3437 - Xinran Wu, Kun Yue, Huashuai Liu, Liang Duan:
Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network. 3438-3447 - Yanping Wu, Yanyong Huang, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang:
Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization. 3448-3457 - You Wu, Yabo Shi, Yizhang Zou, Peipei Li:
Robust Multi-Label Learning with Instance-Dependent Label Noise. 3458-3467 - Keao Xi, Nannan Wu, Yiming Zhao, Wenjun Wang:
FedGC: Contrastive-enhanced Subgraph Federated Learning with Grouping Pseudo-Label. 3468-3477 - Riting Xia, Chunxu Zhang, Xueyan Liu, Anchen Li, Yan Zhang:
GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs. 3478-3487 - Shuo Xiao, Jiukai Deng, Chaogang Tang, Zhenzhen Huang:
Dual-Space Masked Reconstruction for Robust Self-Supervised Human Activity Recognition. 3488-3497 - Shuo Xiao, Jingtao Zhang, Chaogang Tang, Zhenzhen Huang:
Frequency-Domain Disentanglement-Fusion and Dual Contrastive Learning for Sequential Recommendation. 3498-3508 - Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui:
Efficient Knowledge Graph Unlearning with Zeroth-order Information. 3509-3519 - Wen-Bo Xie, Tian Zou, Tao Deng, Xuan-Lin Zhu, Xun Fu, Qiu-Yu Wang, Bin Chen, Xin Wang:
A Robust and High-Efficiency Active Clustering Framework with Multi-User Collaboration. 3520-3529 - Yutong Xie, Qingzhi Ma, Lei Zhao, An Liu:
Federated Approximate Query Processing Based on Deep Models. 3530-3539 - Zhilong Xie, Shaofei Shen, Jiwen Huang, Rui Cheng, Qing Li:
Lead-LagNet: Exploiting Lead-Lag Dependencies for Cross-Series Temporal Prediction. 3540-3549 - Amy Xin, Yunjia Qi, Zijun Yao, Fangwei Zhu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li:
LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking. 3550-3559 - Guanming Xiong, Junwei Bao, Hongfei Jiang, Yang Song, Wen Zhao:
Multi-Turn Interactions for Text-to-SQL with Large Language Models. 3560-3570 - Xubang Xiong, Raymond Chi-Wing Wong, Yuanfeng Song:
Interactive Text-to-Visualization: Refining Visualization Outputs Through Natural Language User Feedback. 3571-3581 - Zechang Xiong, Zhenyan Ji, Wenkang Kong, Jiuqian Dai, Shen Yin:
ESED: Emotion-Specific Evidence Decomposition for Uncertainty-Aware Multimodal Emotion Recognition in Conversation. 3582-3591 - Bo Xu, Yicen Tian, Xiaokun Zhang, Erchen Yu, Dailin Li, Linlin Zong, Hongfei Lin:
Reinforcement Learning-Driven Generative Retrieval with Semantic-aligned Multi-Layer Identifiers. 3592-3601 - Henry George Xu, Tielin Katy Yu, Hao He, Hongbo Fang, Bogdan Vasilescu, Patrick S. Park:
The Structure of Cross-National Collaboration in Open-Source Software Development. 3602-3611 - Huanwei Xu, Lin Xu, Liang Yuan:
CLAP: Coreference-Linked Augmentation for Passage Retrieval. 3612-3622 - Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia:
LiveVal: Real-time and Trajectory-based Data Valuation via Adaptive Reference Points. 3623-3634 - Jingnan Xu, Leixia Wang, Xiaofeng Meng:
KV-Auditor: Auditing Local Differential Privacy for Correlated Key-Value Estimation. 3635-3644 - Tongxin Xu, Wenqiang Liu, Chenzhong Bin, Cihan Xiao, Zhixin Zeng, Tianlong Gu:
Improving Recommendation Fairness via Graph Structure and Representation Augmentation. 3645-3654 - Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu:
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting. 3655-3665 - Yang Xu, Zuliang Yang, Kai Ming Ting:
Contrastive Multi-View Graph Hashing. 3666-3676 - Yifan Xu, Yujia Yin, Yiming Xing, Yifan Chen:
From Policy Comparison to Process Consistency and Beyond. 3677-3687 - Yiming Xu, Qi Song, Yihan Wang, Wangqiu Zhou, Junli Liang:
LGC-CR: Few-shot Knowledge Graph Completion via Local Global Contrastive Learning and LLM-Guided Refinement. 3688-3697 - Yuebin Xu, Xuemei Peng, Zhiyi Chen, Zeyi Wen:
KALE: Knowledge Aggregation for Label-free Model Enhancement. 3698-3707 - Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong:
Fine-Grained Graph Rationalization. 3708-3719 - Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan:
Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. 3720-3729 - Cairong Yan, Xubin Mao, Zijian Wang, Xicheng Zhao, Linlin Meng:
Compensating Information and Capturing Modal Preferences in Multimodal Recommendation: A Dual-Path Representation Learning Framework. 3730-3739 - Gang Yan, Jian Li, Wan Du:
FedSTEP: Asynchronous and Staleness-Aware Personalization for Efficient Federated Learning. 3740-3750 - Yanchao Tan, Xinyi Huang, Zhijun Chen, Hang Lv, Hengyu Zhang, Wei Huang, Guofang Ma:
Higher-order Structure and Semantics-enhanced User Profiling for Recommendation. 3751-3761 - Jie Yang, Ling Luo, Nestor Cabello, Lars Kulik:
Ordinal Embedding for Collaborative Filtering: A Unified Regularization for Enhanced Generalization and Interpretability. 3762-3772 - Jiuding Yang, Hui Liu, Weidong Guo, Yu Xu, Di Niu:
Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants. 3773-3782 - Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri:
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. 3783-3793 - Liu Yang, Zixuan Luo, Tingxuan Chen, Zidong Wang, Limin Liu:
TCPN: Temporal Pyramidal Recurrent Network with Contrastive Learning for Temporal Knowledge Graph Reasoning. 3794-3804 - Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, Kyomin Jung:
Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time. 3805-3813 - Shixi Yang, Kai Zhang, Zhigang Zhao, Chunxiao Wang, Zhenying He, Yinan Jing, X. Sean Wang:
StreamingRT: Stream KNN Join with Ray Tracing Core. 3814-3823 - Zhenye Yang, Jinpeng Chen, Huan Li, Xiongnan Jin, Xuanyang Li, Junwei Zhang, Hongbo Gao, Kaimin Wei, Senzhang Wang:
STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation. 3824-3833 - Zhu Yang, Kun Yue, Zhiwei Qi, Liang Duan, Jianyu Li:
GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning. 3834-3843 - Yantong Du, Rui Chen, Xiangyu Zhao, Qilong Han, A. Kai Qin:
PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations. 3844-3854 - Haibo Ye, Lijun Zhang, Yuan Yao, Xinjie Li:
An Embarrassingly Simple but Effective Knowledge-enhanced Recommender. 3855-3865 - Jiancai Ye, Jun Liu, Haoyu Zhang, Maojia Sheng, Tao Yang, Jiaming Xu, Jinhao Li, Yu Wang, Guohao Dai:
SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering. 3866-3876 - Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao:
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. 3877-3887 - Qiaoxuan Yin, Jianquan Ouyang, Huanrong Tang:
Exploring Iterative Refinement for Nested Named Entity Recognition with IoU-aware Denoising Diffusion. 3888-3898 - Zechen Yin, Zhixuan Fang:
Multi-Armed Bandits with Biased and Heteroscedastic Auxiliary Rewards. 3899-3908 - Xiang Ying, Rui Ding, Yue Zhao, Mei Yu, Mankun Zhao:
DPT: Dynamic Preference Transfer for Cross-Domain Sequential Recommendation. 3909-3919 - Jaebeom You, Seung-Kyu Hong, Ling Liu, Kisung Lee, Hyuk-Yoon Kwon:
FAIR-SE: Framework for Analyzing Information Disparities in Search Engines with Diverse LLM-Generated Personas. 3920-3930 - Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen:
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. 3931-3941 - Tao Yu, Junhong Wan, Yao Fu, Weihao Jiang, Jiang Zhu:
Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting. 3942-3951 - Yuanqing Yu, Zhefan Wang, Weizhi Ma, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang:
StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning. 3952-3962 - Zhigang Yu, Hao Yan, Ruochen Liu, Xianghan Wang, Haijun Zhang, Senzhang Wang:
Temporal Blocks with Memory Replay for Dynamic Graph Representation Learning. 3963-3972 - Haochen Yuan, Yang Zhang, Quan Z. Sheng, Lina Yao, Yipeng Zhou, Xiang He, Zhongjie Wang:
PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement. 3973-3982 - Haonan Yuan, Wenyuan Wu, Jingwei Chen:
SEF-UQR: Scalable and Efficient Privacy-Preserving Federated Updating QR Factorization. 3983-3992 - Wenhao Yuan, Xuehe Wang:
Aggregated Gradients-based Adaptive Learning Rate Design in Federated Learning. 3993-4002 - Xinchen Yuan, Yichao Lu:
TriSeRec: A Tri-view Representation Learning Framework for Sequential/Session-based Recommendation. 4003-4013 - Oleg Zendel, Sara Fahad Dawood Al Lawati, Lida Rashidi, Falk Scholer, Mark Sanderson:
A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries. 4014-4023 - Hang Zeng, Chaoyue Niu, Fan Wu, Chengfei Lv, Guihai Chen:
Querier-Aware LLM: Generating Personalized Responses to the Same Query from Different Queriers. 4024-4035 - Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Qianyue Hao, Jian Yuan, Yong Li, Yu Wang, Huazhong Yang:
CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control. 4036-4044 - Zian Zhai, Qing Sima, Xiaoyang Wang, Wenjie Zhang:
SGPT: Few-Shot Prompt Tuning for Signed Graphs. 4045-4055 - Bolin Zhang, Zhidan Liu:
DSETA: Driving Style-Aware Estimated Time of Arrival. 4056-4065 - Chaobo Zhang, Long Tan:
A Hierarchical Structure-Enhanced Personalized Recommendation Model for Traditional Chinese Medicine Formulas Based on KG Diffusion Guidance. 4066-4075 - Dejiang Zhang, Lianyong Qi, Yuwen Liu, Xucheng Zhou, Jianye Xie, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Yang Cao, Yang Zhang:
HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting. 4076-4085 - Guangping Zhang, Peng Zhang, Jiahao Liu, Zhuoheng Li, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu:
EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents. 4086-4095 - Guangyi Zhang, Nikolaj Tatti, Aristides Gionis:
SpeedSteiner: A Fast O(k1/2)-Approximation Algorithm for Directed Steiner Tree. 4096-4105 - Kai Zhang, Yupeng Han:
Harnessing Commonsense: LLM-Driven Knowledge Integration for Fine-Grained Sentiment Analysis. 4106-4116 - Kepu Zhang, Weijie Yu, Zhongxiang Sun, Jun Xu:
SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models. 4117-4127 - Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang:
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion. 4128-4138 - Qianru Zhang, Xinyi Gao, Haixin Wang, Dong Huang, Siu-Ming Yiu, Hongzhi Yin:
HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning. 4139-4148 - Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li:
GCoder: Improving Large Language Model for Generalized Graph Reasoning. 4149-4159 - Qingyang Zhang, Yitong Wang, Xinjie Lin:
IPNet: An Interaction Pattern-aware Neural Network for Temporal Link Prediction. 4160-4169 - Shenghui Zhang, Pak Lon Ip, Rongqin Chen, Shunran Zhang, Leong Hou U:
Advancing Graph Isomorphism Tests with Metric Space Indicators: A Tool for Improving Graph Learning Tasks. 4170-4180 - Tong Zhang, Nitin Bisht, Zihao Li, Guandong Xu, Xianzhi Wang:
SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation. 4181-4190 - Wei Zhang, Xianfu Cheng, Xiang Li, Jian Yang, Liying Zhang, Xiangyuan Guan, Zhoujun Li:
ECLIPSE: Efficient Cross-Lingual Log Intelligence Parser with Semantic Entropy-Enhanced LCS Algorithm. 4191-4201 - Weilai Zhang, Dongbin Hu:
TopKNet: Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic Forecasting. 4202-4210 - Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu:
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. 4211-4221 - Wendong Zhang, Ruobai Xiang, Zhifang Liao, Peng Lan, Qihao Liang:
FEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow Prediction. 4222-4231 - Xin Zhang, Jianming Zheng, Fei Cai, Zhiqiang Pan, Wanyu Chen, Chonghao Chen, Honghui Chen:
Tide: A Time-Wise Causal Debiasing Framework for Generative Dynamic Link Prediction. 4232-4241 - Xiujin Zhang, Wenxin Jin, Haotian Hong, Pengfei Zhang, Jiting Li, Kongjing Gu, Hao Peng, Li Sun:
Hyperbolic Prompt Learning for Incremental Event Detection with LLMs. 4242-4252 - Yupu Zhang, Lei Jia, Hao Miao, Weizhu Qian, Yan Zhao, Kai Zheng:
Traffic Safety Evaluation Based on Macroscopic Traffic Features in Road Tunnels. 4253-4262 - Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao:
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations. 4263-4272 - Zheng Zhang, Liang Zhao:
Transferable Deep Clustering Model. 4273-4282 - Zhengkai Zhang, Hua Dai, Hao Zhou, Mingfeng Jiang, Pengyue Li, Geng Yang:
A Privacy-preserving Spatial Dataset Joinable Search in Cloud. 4283-4292 - Zhenliang Zhang, Junzhe Zhang, Xinyu Hu, Huixuan Zhang, Xiaojun Wan:
Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models. 4293-4303 - Ziheng Zhang, Weixin Zeng, Jiuyang Tang, Ji Wang, Xiang Zhao:
Yes is Harder than No: A Behavioral Study of Framing Effects in Large Language Models Across Downstream Tasks. 4304-4314 - Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia:
Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment. 4315-4325 - Chongjie Zhao, Jinyan Wang, Linlin Su, Zeming Gan, Ziyang Zhou:
Robust Heterogeneous GNNs via Semantic Attention and Contrastive Learning. 4326-4335 - Chu Zhao, Shengjie Dong, Yuhai Zhao, Yuan Li, Zhengkui Wang, Xingwei Wang:
Hybrid2: Distributed GNN Training System Enhanced by Dual-Hybrid for Sampling and Loading. 4336-4345 - Haokun Zhao, Jinyi Han, Jie Shi, Chengyu Du, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu:
CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes. 4346-4356 - Xin Zhao, Xiaojun Chen, Haoyu Gao:
Antelope: Potent and Concealed Jailbreak Attack Strategy. 4357-4367 - Yicong Zhao, Shisong Chen, Jiacheng Zhang, Zhixu Li:
ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation. 4368-4378 - Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan:
FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection. 4379-4389 - Yurou Zhao, Yingfei Zhang, Quan Zhou, Shuang Zhang, Wei Lin, Jiaxin Mao:
Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAML. 4390-4400 - Ziliang Zhao, Haonan Chen, Shiren Song, Jian Xie, Zhicheng Dou:
ClariLM: Enhancing Open-domain Clarification Ability for Large Language Models. 4401-4411 - Ziliang Zhao, Shiren Song, Zhicheng Dou:
FollowGPT: A Framework of Follow-up Question Generation for Large Language Models via Conversation Log Mining. 4412-4422 - Bowen Zheng, Xiaolei Wang, Enze Liu, Xi Wang, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Autonomous Reasoning-Retrieval for Large Language Model Based Recommendation. 4423-4433 - Liangwei Nathan Zheng, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. 4434-4443 - Yijia Zheng, Marcel Worring:
Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion. 4444-4454 - Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li:
MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings. 4455-4465 - Haodi Zhong, Liuxin Zou, Di Wang, Bo Wan, Zhenxing Niu, Quan Wang:
EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction. 4466-4476 - Lei Zhou, Min Gao, Zongwei Wang, Yibing Bai:
Budget and Frequency Controlled Cost-Aware Model Extraction Attack on Sequential Recommenders. 4477-4486 - Qi Zhou, Xi Chen, Chuyu Fang, Jianji Wang, Chuan Qin, Fuzhen Zhuang:
Enhancing Dual-Target Cross-Domain Recommendation via Similar User Bridging. 4487-4497 - Shiqiao Zhou, Holger Schöner, Huanbo Lyu, Edouard Fouché, Shuo Wang:
BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting. 4498-4508 - Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis:
Calibrated and Diverse News Coverage. 4509-4518 - Junlin Zhu, Bo Fu, Guiduo Duan:
DebiasedKGE: Towards Mitigating Spurious Forgetting in Continual Knowledge Graph Embedding. 4519-4528 - Mengdan Zhu, Raasikh Kanjiani, Jiahui Lu, Andrew Choi, Qirui Ye, Liang Zhao:
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models. 4529-4538 - Zhuohang Zhu, Haodong Chen, Qiang Qu, Vera Chung:
FinCast: A Foundation Model for Financial Time-Series Forecasting. 4539-4549 - Ziye Zhu, Liangliang Peng, Yu Wang, Yun Li, Xianzhong Long:
FunLoc: A Novel Function-level Bug Localization Framework Enhanced by Contrastive and Active Learning Strategies. 4550-4559 - Zhuang Zhuang, Haitao Yuan, Shanshan Feng, Heng Qi, Yanming Shen, Baocai Yin:
MGSTDN: Multi-Granularity Spatial-Temporal Diffusion Network for Next POI Recommendation. 4560-4570 - Ziyi Zhuang, Hongji Li, Junchen Fu, Jiacheng Liu, Joemon M. Jose, Youhua Li, Yongxin Ni:
Frequency-Decoupled Distillation for Efficient Multimodal Recommendation. 4571-4581 - Sumayya Ziyad, Peter Christen, Anushka Vidanage, Charini Nanayakkara, Rainer Schnell:
Vulnerability-Aware Hardening for Secure Privacy-Preserving Record Linkage. 4582-4591 - Linlin Zong, Chi Ma, Jiahui Zhou, Xinyue Liu, Wenxin Liang, Xianchao Zhang, Bo Xu:
Relational Multi-Path Enhancement for Extrapolative Relation Reasoning in Temporal Knowledge Graph. 4592-4601
Short Research Papers
- Sarwan Ali:
Explicit Path CGR: Maintaining Sequence Fidelity in Geometric Representations. 4603-4607 - Havva Alizadeh Noughabi, Julien Serbanescu, Fattane Zarrinkalam, Ali Dehghantanha:
Uncovering the Persuasive Fingerprint of LLMs in Jailbreaking Attacks. 4608-4612 - Ben Ayad Mohamed Ayoub, Michael Dinzinger, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer:
Compressed Concatenation of Small Embedding Models. 4613-4617 - Yuyan Bu, Qiang Sheng, Juan Cao, Shaofei Wang, Peng Qi, Yuhui Shi, Beizhe Hu:
Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation. 4618-4622 - Yusuf Mücahit Çetinkaya, Tugrulcan Elmas:
State & Geopolitical Censorship on Twitter (X): Detection & Impact Analysis of Withheld Content. 4623-4627 - Xuejun Chang, Zaiqiao Meng, Debasis Ganguly:
T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval. 4628-4632 - Santosh Chapagain, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Pruning Strategies for Backdoor Defense in LLMs. 4633-4638 - Evan Chen, Run-Jun Zhan, Yan-Bai Lin, Hung-Hsuan Chen:
More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models. 4639-4643 - Ge Chen, Yulan Hu, Sheng Ouyang, Cuicui Luo:
Improving Graph Autoencoders by Hard Sample Refinement with Global Similarity. 4644-4648 - Lei Chen, Kyoungsuk Park, Junetae Kim:
Multimodal Contrastive Learning with Early Fusion for Robust Medical Signal Representation. 4649-4653 - Lijin Chen, Linjing You, Jiabao Lu, Xiayuan Huang, Xiangli Nie:
G2IFS: Global-to-Instance Feature Selection in Deep Recommender System. 4654-4658 - Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
VQA-Induct: Instruction Induction for Visual Question Answering. 4659-4664 - Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou:
Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. 4665-4669 - Xubin Chen, Zhengjie Yang, Xinyi Sheng, Sen Fu, Wei Bao:
Toward Secure Federated Partial Label Learning Against Poisoning Attacks. 4670-4674 - Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng:
Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. 4675-4679 - Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri:
FUTURE: Flexible Unlearning for Tree Ensemble. 4680-4684 - Che-Yu Chou, Hung-Hsuan Chen:
Contrastive ECOC: Learning Output Codes for Adversarial Defense. 4685-4689 - Sangjun Chung, Simon S. Woo:
MU-OT: Effective and Unified Machine Unlearning with Optimal Transport for Feature Realignment. 4690-4694 - Huangyu Dai, Lingtao Mao, Ben Chen, Zihan Wang, Zihan Liang, Ying Han, Chenyi Lei, Han Li:
H-PRM: A Pluggable Hotword Pre-Retrieval Module for Various Speech Recognition Systems. 4695-4699 - Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro:
DP-COMET: A Differential Privacy Contextual Obfuscation MEchanism for Texts in Natural Language Processing. 4700-4705 - Xingyu Deng, Xi Wang, Mark Stevenson:
+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking. 4706-4711 - Giorgio Maria Di Nunzio:
POLAR: Policy Optimization for Literature Analysis under Review Constraints. 4712-4716 - Davide Gabrielli, Bardh Prenkaj, Paola Velardi, Stefano Faralli:
AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence. 4717-4721 - Chujie Gao, Yue Huang, Xiangqi Wang, Siyuan Wu, Nitesh V. Chawla, Xiangliang Zhang:
Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models. 4722-4727 - Pouya Ghahramanian, Sepehr Bakhshi, Fazli Can:
LLM-OFA: On-the-Fly Adaptation of Large Language Models to Address Temporal Drift Across Two Decades of News. 4728-4732 - Mohammad Gharehhasanloo, Yueting Chen, Nick Koudas, Xiaohui Yu:
Approximating Gradient-Based Influence for Scalable Instruction Data Selection. 4733-4737 - Cheng Guo, Rui Xue, Jeff Zhang:
Time-Period-Aware Embedding Regeneration for Session-Based Recommendation. 4738-4742 - Preethi Gurumurthy, P. K. Srijith:
Pseudo-Inverse Prefix Tuning for Effective Unlearning in LLMs. 4743-4747 - Daniel Gwon, Nour Jedidi, Jimmy Lin:
Study on LLMs for Promptagator-Style Dense Retriever Training. 4748-4752 - Chen Han, Yuanyuan Li, Xijin Tang:
DocPolicyKG: A Lightweight LLM-Based Framework for Knowledge Graph Construction from Chinese Policy Documents. 4753-4757 - Donghee Han, Seungjae Lim, Mun Yong Yi:
RAG-based Unanswerable Question Detection in Clinical Text-to-SQL. 4759-4764 - Taejoon Han, Song Kim, Woungjae Choo, Junghoon Kim:
From Bicliques to BiFlexi Cliques: A New Era of Bipartite Subgraph Discovery. 4765-4769 - Xiao Han, Zhenduo Zhang, Xinfeng Zhang, Yiling Wu, Zhe Wu:
Mixture-of-KAN for Multivariate Time Series Forecasting. 4770-4774 - Jiaxing He, Yang Fang, Tianyang Shao, Xiang Zhao:
Information Diffusion Prediction Based on User Multi-Dimensional Feature Interaction. 4775-4779 - Xinyu He, Jose Sepulveda, Fei Wang, Hanghang Tong:
Sparse Autoencoders in Collaborative Filtering Enhanced LLM-based Recommender Systems. 4780-4784 - Stefan Heindorf, Daniel Neib:
Assessing Natural Language Explanations of Relational Graph Neural Networks. 4785-4789 - Maike Madeline Holtkemper, Max Pernklau, Christian Beecks:
Structuring Data Science Automation: A Competency-Aware Taxonomy Approach. 4790-4796 - Seung-Kyu Hong, Hyuk-Yoon Kwon:
Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor. 4797-4801 - Yubin Hong, Chaofan Li, Jingyi Zhang, Yingxia Shao:
Context-Aware Fine-Grained Graph RAG for Query-Focused Summarization. 4802-4806 - Chenya Huang, Bin Liang, Zhidong Li, Justin Wang, Fang Chen:
Spatio-Temporal Residual Masked Autoencoder for Urban Rent Estimation. 4807-4811 - Kening Huang, Qianqian Ren, Xingfeng Lv:
XDNet: Disentangled Time Series Forecasting via Exponential Decomposition and 2D Periodic Modeling. 4812-4816 - 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. 4817-4821 - Hyeonsu Hwang, Simon S. Woo:
FASE: Feature-Aligned Scene Encoding for Open-Vocabulary Object Detection in Remote Sensing. 4822-4826 - Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz:
Multimodal RAG Enhanced Visual Description. 4827-4831 - Myung-Hwan Jang, Min-Kyeong Shin, Taehyeong Park, Yongjun Park, Sang-Wook Kim:
An Efficient PIM-Based Graph Engine on a Single Machine. 4832-4836 - Byung Eun Jeon, Ryan Bae, Xiao Bai:
Leveraging Large Language Models for Complementary Product Ads Recommendation. 4837-4841 - Geunyeong Jeong, Juoh Sun, Harksoo Kim:
Watch Your Step: A Fine-Grained Evaluation Framework for Multi-hop Knowledge Editing in Large Language Models. 4842-4846 - Guangyin Jin, Sicong Lai, Xiaoshuai Hao, Jinlei Zhang, Mingtao Zhang:
M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction. 4847-4851 - Geonhee Jo, Miru Hong, Han-Jun Choi, Minho Lee, Pascal Bauer, Sang-Ki Ko:
Imputing Multi-Agent Trajectories from Event and Snapshot Data in Soccer. 4852-4856 - Sri Durga Sai Sowmya Kadali, Evangelos E. Papalexakis:
CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors. 4857-4861 - Choongwon Kang, Wonbyung Lee, Seunghyun Hwang, Sunho Tae, Seungjong Sun, Jang Hyun Kim:
Sarcasm Subtype-Specific Reasoning in Dialogue with Multimodal Cues Using Large Language Models. 4862-4867 - Eojin Kang, Juae Kim:
When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering. 4868-4873 - Damin Kim, Minseok Hur, Jeongin Lee, Moohong Min:
Jailbreaking LLMs Through Cross-Cultural Prompts. 4874-4878 - Hyewon Kim, Minseok Kim, Dahee Kim, Junghoon Kim:
When User Engagement Meets Structural Cohesiveness: A Decay-Driven Approach to Hypergraph Cores. 4879-4883 - Jeongseon Kim, Sungsu Lim:
CR-SGCN: Unsupervised Signed Community Detection via Conductance Regularization. 4884-4888 - Jinseok Kim, Sukmin Cho, Soyeong Jeong, Sangyeop Kim, Sungzoon Cho:
Upcycling Candidate Tokens of Large Language Models for Query Expansion. 4889-4894 - San Kim, Seungjun Lee, Sichan Oh, Jaekwang Kim:
RadialFocus: Geometric Graph Transformers via Distance-Modulated Attention. 4895-4899 - Yunyong Ko, Da Eun Lee, Song Kyung Yu, Sang-Wook Kim:
Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks. 4900-4904 - Zhoufan Kong, Fan Zhang, Qijie Shen, Junyan Qiu:
Side Information Memory Network: Expanding the Breadth of User Behavior Sequences in Recommendation. 4905-4909 - Jan Kwiatkowski, Jaroslaw A. Chudziak:
On Evaluating Loss Functions for Stock Ranking: An Empirical Analysis with Transformer Model. 4910-4914 - Seonghee Lee, Geon Park, Geunyeong Jeong, Juoh Sun, Harksoo Kim:
Mitigating Knowledge Degradation Caused by Knowledge Editing on Identical Subjects through Two-Step Editing. 4915-4919 - Seungjun Lee, San Kim, Johyeon Kim, Jaekwang Kim:
Spectral Edge Encoding - SEE: Does Structural Information Really Enhance Graph Transformer Performance? 4920-4924 - Youngjoon Lee, Jinu Gong, Joonhyuk Kang:
Deceptive Synthetic Updates: Stealth Free-Rider Attack on Model Aggregation in Federated Learning. 4925-4929 - Dong Li, Lingling Zhang, Yuhang Fan, Jingyou Sun, Xinyu Zhang, Baoyan Song:
EI-KGC: A Knowledge Graph Completion Model Based on Fine-Grained Element Interactions. 4930-4934 - Jiaxin Li, Geng Zhao:
Improving Content Anomaly Detection on Social Media via Counterfactual Mitigation of Social Event-Induced Bias. 4935-4939 - Mang Li:
Dynamic Reserve Price Design with Distributed Solving Algorithm. 4940-4944 - Rumeng Li, Xun Wang, Hong Yu:
Improving Rare and Common ICD Coding via a Multi-Agent LLM-Based Approach. 4945-4949 - Shuo Lin, Zhenyang Shen, Xiang Li, Jiacheng Fan, Sixing Wu:
Position-Agnostic Probabilistic Generation for Robust Steganographic Text. 4950-4954 - Fangnuo Liu, Derong Shen:
Token-Fusion: A Sparse Expert Routing Method for Multi-task Data Matching. 4955-4959 - Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong:
Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks. 4960-4965 - Lihui Liu:
Monte Carlo Tree Search for Graph Reasoning in Large Language Model Agents. 4966-4970 - Ping Liu, Jianqiang Shen, Qianqi Shen, Chunnan Yao, Kevin Kao, Dan Xu, Rajat Arora, Baofen Zheng, Caleb Johnson, Liangjie Hong, Jingwei Wu, Wenjing Zhang:
Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems. 4971-4975 - Xinlei Liu, Tao Hu, Peng Yi, Weitao Han, Jichao Xie, Baolin Li:
Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization. 4976-4980 - Yuxiang Liu, Tian Wang, Gourab Kundu, Tianyu Cao, Guang Cheng, Zhen Ge, Jianshu Chen, Qingjun Cui, Trishul Chilimbi:
Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval. 4981-4985 - Hou-Wan Long, Hongyang Li, Wei Cai:
CoinCLIP: A Multimodal Framework for Assessing Viability in Web3 Memecoins. 4986-4990 - Hou-Wan Long, Yicheng Song, Zidong Wang, Tianshu Sun:
KP-Agent: Keyword Pruning in Sponsored Search Advertising via LLM-Powered Contextual Bandits. 4991-4995 - Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong:
ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. 4996-5000 - Qin Luo, Erjia Chen, Zhao Shi, Bang Wang:
Anchor-based Pairwise Comparison via Large Language Model for Recommendation Reranking. 5001-5005 - Shijie Luo, Xinyuan Lu, Qinpei Zhao, Weixiong Rao:
Bridging the Gap between Knowledge Graphs and LLMs for Multi-hop Question Answering. 5006-5010 - Tian Ma, Kaiyu Feng, Yu Rong, Kangfei Zhao:
From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media. 5011-5015 - Zhaomeng Ma, Haoran Chang, Hailong Shen, Yanzhi Song:
Image Hashing Based on Hamming Ball Spacing. 5016-5020 - Takuya Makino:
kNNBE: Incorporating Labeled Sentences in Bi-encoder Inference for Fast and Accurate Skill Mapping. 5021-5025 - Fengyang Mao, Xiaodong Yue, Yufei Chen, Jiaqing Ma, Zheran Zhang, Jie Shi:
Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval. 5026-5030 - Yufan Mao, Jingran Xu, Liang Zhang, Xiyue Hou, Yongbo Jin, Yingming Li, Linjian Mo:
Multi-Task Learning through Hierarchical Information Sharing and Transfer. 5031-5035 - Jaewan Moon, Seongmin Park, Jongwuk Lee:
LLM-Enhanced Linear Autoencoders for Recommendation. 5036-5040 - Wenchuan Mu, Kwan Hui Lim:
Bayesian Privacy Guarantee for User History in Sequential Recommendation Using Randomised Response. 5041-5046 - Favour Nerrise, Edward W. Huang, Xiaonan Ji, Karthik Subbian, Danai Koutra:
GraFS: An Integrated GNN-LLM Approach for Inferring Best Functional Substitute Products. 5047-5051 - Van-Khang Nguyen, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le:
Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation. 5053-5057 - Yanan Niu, Demetri Psaltis, Christophe Moser, Luisa Lambertini:
Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies. 5058-5062 - Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han:
Externalizing Social-Cognitive Structures for User Modeling: Toward Theory-Driven Profiling with LLMs. 5063-5067 - Yongkyung Oh, Seungsu Kam, Dongyoung Lim, Sungil Kim:
Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations. 5068-5073 - Indranil Ojha, Kushal Bose, Swagatam Das:
FairSplit: Mitigating Bias in Graph Neural Networks through Sensitivity-based Edge Partitioning. 5074-5078 - Le Pan, Yuanjiang Cao, Chengkai Huang, Wenjie Zhang, Lina Yao:
Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference. 5079-5083 - Chan Park, Muhammad Shahid Muneer, Simon S. Woo:
Beyond Masking: Landmark-based Representation Learning and Knowledge-Distillation for Audio-Visual Deepfake Detection. 5084-5088 - Dae-Young Park, In-Young Ko, Taek-Ho Lee, Junghye Lee:
Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector. 5089-5093 - Heewon Park, Mugon Joe, Miru Kim, Minhae Kwon:
ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate. 5094-5098 - Minje Park, Jeonghwa Lim, Taehyung Yu, Sunghoon Joo:
SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation. 5099-5104 - Seyeon Park, Beakcheol Jang:
A Pivot-Enhanced Question Answering Framework: Using Iterative Sub-Question Decomposition and Answer-to-Question Verification. 5105-5109 - SoYoung Park, Sungsu Lim:
FnRGNN: Distribution-aware Fairness in Graph Neural Network. 5110-5114 - Young-Joon Park, Seong-Ryeong Lee, Anh-Dung Vo, Minsung Jung, Daewoo Choi:
TwinBandit Prompt Optimizer: Adaptive Prompt Optimization via Synergistic Dual MAB-Guided Feedback. 5115-5119 - Yujin Park, Haejun Chung, Ikbeom Jang:
EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting. 5120-5124 - Guoping Qi, Jihong Liu:
LHMformer: Long-Range Historical Memory-Enhanced Transformer for Traffic Forecasting. 5125-5129 - Wei Qian, Chenxu Zhao, Yangyi Li, Wenqian Ye, Mengdi Huai:
Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten. 5130-5135 - Siwei Qiang:
GLCN: Treatment Effect Estimation via Global-Local Networks with Adversarial Debiasing. 5136-5140 - Siwei Qiang:
LLMCE: Adapting LLMs with Adversarial Debiasing for Counterfactual Estimation over Time. 5141-5145 - Wanghui Qiu, Shiyan Hu, Chenjuan Guo, Wenbing Shi, Lina Yu, Ming Gao, Aoying Zhou, Bin Yang:
Land Deformation Prediction via Multi-modal Adaptive Association Learning. 5146-5150 - Yuhang Qiu, Biqin Song, Hong Chen:
Controlled Feature Interaction Selection for Deep Sparse Networks. 5151-5155 - Xingrun Quan, Yongkang Zhou, Junjie Yao:
ThoughtForest-KGQA: A Multi-Chain Tree Search for Knowledge Graph Reasoning. 5156-5160 - Taki Hasan Rafi, Amit Agarwal, Hitesh Laxmichand Patel, Dong-Kyu Chae:
Towards Robust Continual Test-Time Adaptation via Neighbor Filtration. 5161-5165 - Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz, Nick Craswell, Bhaskar Mitra:
Towards Understanding Bias in Synthetic Data for Evaluation. 5166-5170 - Emily Jimin Roh, Joongheon Kim:
Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models. 5171-5175 - Diya Saha, Manjira Sinha, Tirthankar Dasgupta:
Green by Design: Detecting Environmental Claims in Corporate Web Content. 5176-5180 - Liyana Sahir Kallooriyakath, Anugu Namratha Reddy, B. Srinath Achary, Ashutosh Sharma, Krisha Shah, Sonia Gupta, Siddhartha Asthana:
Towards Equitable Coreset Selection: Addressing Challenges Under Class Imbalance. 5181-5185 - Tetsuya Sakai, Khant Myoe Rain, Rikiya Takehi, Sijie Tao, Young-In Song:
Open-Source LLM-based Relevance Assessment vs. Highly Reliable Manual Relevance Assessment: A Case Study. 5186-5190 - Mohammad Hossein Saliminabi, Negar Arabzadeh, Seyed Mohammad Hosseini, Dimitrios Androutsos, Morteza Zihayat, Ebrahim Bagheri:
LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance. 5191-5195 - David Sanchez Jr., Anantaa Kotal:
CondFairGen A Fair Conditional Generator for Tabular Data via Adaptive Sampling. 5196-5201 - Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar:
HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers. 5202-5207 - Taiga Sasaki, Takehiro Yamamoto, Hiroaki Ohshima, Sumio Fujita:
Effect of Model Merging in Domain-Specific Ad-hoc Retrieval. 5208-5212 - Anirudh Satheesh, Keenan Powell, Hua Wei:
cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending. 5213-5217 - Piyumi Seneviratne, Dinusha Vatsalan, Dali Kaafar:
Membership Inference Attack Vulnerabilities of Record Linkage Models. 5218-5222 - Ricky J. Sethi, Hefei Qiu, Charles Courchaine, Joshua Iacoboni:
Do LLMs Dream of Electric Emotions? Towards Quantifying Metacognition and Generalizing the Teacher-Student Model Using Ensembles of LLMs. 5223-5227 - Anmol Sharma, Sulayman K. Sowe, Soo-Yon Kim, Sayed Hoseini, Fidan Limani, Zeyd Boukhers, Christoph Lange, Stefan Decker:
FAIR Data Assessment Using LLMs: The Fair-Way. 5228-5232 - Vishal Sharma, Curtis E. Dyreson:
The Metadata Impedance Mismatch between Databases and Programming Languages. 5233-5237 - Aleksei Shestov, Omar Zoloev, Maksim Makarenko, Mikhail Orlov, Egor Fadeev, Ivan Kireev, Andrey V. Savchenko:
LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models. 5238-5242 - Yung-Yu Shih, Yun-Nung Chen, Chung-Chi Chen:
Company-Specific Knowledge Matters: Retrieval-Augmented Generation for Earnings Call Answer Rehearsal. 5243-5247 - Mohammad Javad Shokri, Yuchong Yao, Nandakishor Desai, Aravinda S. Rao, Angelos Sharobeam, Bernard Yan, Marimuthu Palaniswami:
Zero-shot Stroke Lesion Segmentation via CAM-guided Prompting of MedSAM2. 5248-5252 - Michael Simpson, Laks V. S. Lakshmanan, Venkatesh Srinivasan, Alex Thomo:
On Influence Tail Bounds in Online Social Networks. 5253-5257