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2020 – today
- 2023
[j146]Hongyin Zhu
, Hao Peng, Zhiheng Lyu, Lei Hou, Juanzi Li, Jinghui Xiao:
Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation. Expert Syst. Appl. 215: 119369 (2023)- [j145]Qiuping Guo, Hao Peng:
A novel multilevel color image segmentation technique based on an improved firefly algorithm and energy curve. Evol. Syst. 14(4): 685-733 (2023) - [j144]Hao Peng, Shixin Guo, Dandan Zhao, Yiming Wu, Jianming Han, Zhe Wang, Shouling Ji, Ming Zhong:
Query-efficient model extraction for text classification model in a hard label setting. J. King Saud Univ. Comput. Inf. Sci. 35(4): 10-20 (2023) - [j143]Hao Peng, Zhe Wang, Dandan Zhao, Yiming Wu, Jianming Han, Shixin Guo, Shouling Ji, Ming Zhong:
Efficient text-based evolution algorithm to hard-label adversarial attacks on text. J. King Saud Univ. Comput. Inf. Sci. 35(5): 101539 (2023) - [j142]Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - [j141]Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous graph neural network with semantic-aware differential privacy guarantees. Knowl. Inf. Syst. 65(10): 4085-4110 (2023) - [j140]Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu:
Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 980-998 (2023) - [j139]Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu:
Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8063-8080 (2023) - [j138]Guofeng Tong, Zheng Li, Hao Peng, Yaqi Wang:
Multi-Source Features Fusion Single Stage 3D Object Detection With Transformer. IEEE Robotics Autom. Lett. 8(4): 2062-2069 (2023) - [j137]Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu:
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 76:1-76:21 (2023) - [j136]Wenjie Cheng, Hao Peng:
Dependence of flow coefficient on the cone angle and relative opening of natural gas control ball valves. Trans. Inst. Meas. Control 45(4): 649-660 (2023) - [j135]Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He:
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(1): 560-574 (2023) - [j134]Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He:
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. IEEE Trans. Knowl. Data Eng. 35(3): 2765-2780 (2023) - [j133]Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu:
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation. IEEE Trans. Knowl. Data Eng. 35(4): 4077-4091 (2023) - [j132]Chenglong Dai, Jia Wu, Jessica J. M. Monaghan, Guanghui Li, Hao Peng, Stefanie I. Becker, David McAlpine:
Semi-Supervised EEG Clustering With Multiple Constraints. IEEE Trans. Knowl. Data Eng. 35(8): 8529-8544 (2023) - [c160]Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu:
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. AAAI 2023: 4633-4642 - [c159]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI 2023: 4643-4651 - [c158]Xianghua Zeng, Hao Peng, Angsheng Li:
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles. AAAI 2023: 11772-11780 - [c157]Hao Peng, Xiaozhi Wang, Feng Yao, Kaisheng Zeng, Lei Hou, Juanzi Li, Zhiyuan Liu, Weixing Shen:
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation. ACL (Findings) 2023: 9206-9227 - [c156]Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot:
Complexity-Based Prompting for Multi-step Reasoning. ICLR 2023 - [c155]Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot:
Specializing Smaller Language Models towards Multi-Step Reasoning. ICML 2023: 10421-10430 - [c154]Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu:
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. IJCAI 2023: 2296-2305 - [c153]Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu:
Hierarchical State Abstraction based on Structural Information Principles. IJCAI 2023: 4549-4557 - [c152]Ke Dong, Hao Peng, Jie Che:
Dynamic-Static Cross Attentional Feature Fusion Method for Speech Emotion Recognition. MMM (2) 2023: 350-361 - [c151]Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu:
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. RecSys 2023: 322-333 - [c150]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR 2023: 2037-2041 - [c149]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su:
Minimum Entropy Principle Guided Graph Neural Networks. WSDM 2023: 114-122 - [c148]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM 2023: 769-777 - [c147]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM 2023: 922-930 - [c146]Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW 2023: 460-468 - [c145]Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. WWW 2023: 499-510 - [c144]Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou:
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. WWW 2023: 1314-1323 - [c143]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW 2023: 1375-1385 - [i149]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR abs/2301.00015 (2023) - [i148]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023) - [i147]Guojie Tang, Wenchao Xue, Hao Peng, Yanlong Zhao, Zhijun Yang:
Parallel Multi-Extended State Observers based {ADRC} with Application to High-Speed Precision Motion Stage. CoRR abs/2301.07269 (2023) - [i146]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR abs/2301.12104 (2023) - [i145]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. CoRR abs/2301.12197 (2023) - [i144]Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot:
Specializing Smaller Language Models towards Multi-Step Reasoning. CoRR abs/2301.12726 (2023) - [i143]Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu:
A Comprehensive Survey on Automatic Knowledge Graph Construction. CoRR abs/2302.05019 (2023) - [i142]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. CoRR abs/2302.09419 (2023) - [i141]Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang:
Reinforcement Learning Guided Multi-Objective Exam Paper Generation. CoRR abs/2303.01042 (2023) - [i140]Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou:
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. CoRR abs/2303.07113 (2023) - [i139]Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. CoRR abs/2303.09778 (2023) - [i138]Xianghua Zeng, Hao Peng, Angsheng Li:
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles. CoRR abs/2304.00755 (2023) - [i137]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR abs/2304.03344 (2023) - [i136]Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR abs/2304.05059 (2023) - [i135]Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu:
Hierarchical State Abstraction Based on Structural Information Principles. CoRR abs/2304.12000 (2023) - [i134]Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu:
Contrastive Graph Clustering in Curvature Spaces. CoRR abs/2305.03555 (2023) - [i133]Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li:
AMD: Autoregressive Motion Diffusion. CoRR abs/2305.09381 (2023) - [i132]Yao Fu, Hao Peng, Tushar Khot, Mirella Lapata:
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback. CoRR abs/2305.10142 (2023) - [i131]Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji:
LeTI: Learning to Generate from Textual Interactions. CoRR abs/2305.10314 (2023) - [i130]Yao Fu, Litu Ou, Mingyu Chen, Yuhao Wan, Hao Peng, Tushar Khot:
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance. CoRR abs/2305.17306 (2023) - [i129]Hao Peng, Xiaozhi Wang, Feng Yao, Kaisheng Zeng, Lei Hou, Juanzi Li, Zhiyuan Liu, Weixing Shen:
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation. CoRR abs/2306.06918 (2023) - [i128]Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR abs/2306.09296 (2023) - [i127]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. CoRR abs/2306.11986 (2023) - [i126]Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu:
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. CoRR abs/2306.14462 (2023) - [i125]Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi:
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR abs/2307.09701 (2023) - [i124]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR abs/2308.08620 (2023) - [i123]Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He:
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. CoRR abs/2309.01899 (2023) - [i122]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. CoRR abs/2309.10691 (2023) - 2022
- [b1]Hao Peng:
Towards Efficient and Generalizable Natural Language Processing. University of Washington, USA, 2022 - [j131]Dandan Zhao, Runchao Li, Hao Peng, Ming Zhong, Wei Wang:
Percolation on simplicial complexes. Appl. Math. Comput. 431: 127330 (2022) - [j130]Hao Peng, Jiayuan Zhong, Pei Chen, Rui Liu:
Identifying the critical states of complex diseases by the dynamic change of multivariate distribution. Briefings Bioinform. 23(5) (2022) - [j129]Yan-Xia Chen, Wa Zhou, Yin-Quan Ye, Lei Zeng, Xian-Feng Wu, Ben Ke, Hao Peng, Xiang-Dong Fang:
Clinical study on the use of advanced magnetic resonance imaging in lupus nephritis. BMC Medical Imaging 22(1): 210 (2022) - [j128]Hao Peng, Zhe Kan, Can Liu, Thar Baker, Dandan Zhao:
Risk Assessment of CPS Composed of Edge Consumer Electronics Under Intentional Attack. IEEE Consumer Electron. Mag. 11(2): 36-41 (2022) - [j127]Zhiwen Zhang, Xiaosen Li, Zhaoyang Chen, Yu Zhang, Hao Peng:
Investigation of Gas-Water-Sand Fluid Resistivity Property as Potential Application for Marine Gas Hydrate Production. Entropy 24(5): 624 (2022) - [j126]Xudong Liu, Ruizhe Wang, Hao Peng, Minglei Yin, Chih-Fan Chen, Xin Li:
Face beautification: Beyond makeup transfer. Frontiers Comput. Sci. 4 (2022) - [j125]Lin Liu, Wei-Tek Tsai, Md. Zakirul Alam Bhuiyan, Hao Peng, Mingsheng Liu:
Blockchain-enabled fraud discovery through abnormal smart contract detection on Ethereum. Future Gener. Comput. Syst. 128: 158-166 (2022) - [j124]Xin Yao, Juan Yu, Jianmin Han, Jianfeng Lu, Hao Peng, Yijia Wu, Xiaoqian Cao:
DP-CSM: Efficient Differentially Private Synthesis for Human Mobility Trajectory with Coresets and Staircase Mechanism. ISPRS Int. J. Geo Inf. 11(12): 607 (2022) - [j123]Pengpeng Zhou, Bin Wu, Caiyong Wang, Hao Peng, Juwei Yue, Song Xiao:
What happens next? Combining enhanced multilevel script learning and dual fusion strategies for script event prediction. Int. J. Intell. Syst. 37(11): 10001-10040 (2022) - [j122]Guofeng Tong, Hao Peng, Yuyuan Shao, Qijun Yin, Zheng Li:
ASCNet: 3D object detection from point cloud based on adaptive spatial context features. Neurocomputing 475: 89-101 (2022) - [j121]Yuyuan Shao, Guofeng Tong, Hao Peng:
Mining local geometric structure for large-scale 3D point clouds semantic segmentation. Neurocomputing 500: 191-202 (2022) - [j120]Ying Xiong, Hao Peng, Yang Xiang, Ka-Chun Wong, Qingcai Chen, Jun Yan, Buzhou Tang:
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network. J. Biomed. Informatics 128: 104035 (2022) - [j119]Hao Peng, Ying Xiong, Yang Xiang, Hui Wang, Hui Xu, Buzhou Tang:
Biomedical named entity normalization via interaction-based synonym marginalization. J. Biomed. Informatics 136: 104238 (2022) - [j118]Zheng Wu, Hao Peng, Fanbiao Li, Tingwen Huang, Chunhua Yang, Weihua Gui:
Extended dissipative analysis and taxiing control of fuzzy model based aircraft-on-ground systems via sliding mode approach. J. Frankl. Inst. 359(10): 4623-4641 (2022) - [j117]Hao Peng, Cheng Qian, Dandan Zhao, Ming Zhong, Xianwen Ling, Wei Wang:
Disintegrate hypergraph networks by attacking hyperedge. J. King Saud Univ. Comput. Inf. Sci. 34(7): 4679-4685 (2022) - [j116]Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer:
Correction to: Social influence and unfollowing accelerate the emergence of echo chambers. J. Comput. Soc. Sci. 5(2): 1779 (2022) - [j115]Shun Yang, Xian'ai Long, Hao Peng, Haibo Gao:
Optimization of Heterogeneous Clustering Routing Protocol for Internet of Things in Wireless Sensor Networks. J. Sensors 2022: 1-9 (2022) - [j114]Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li:
Cross-knowledge-graph entity alignment via relation prediction. Knowl. Based Syst. 240: 107813 (2022) - [j113]Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154: 56-67 (2022) - [j112]Qing Fan, Yu Liu, Tao Yang, Hao Peng:
Fast and Accurate Spectrum Estimation via Virtual Coarray Interpolation Based on Truncated Nuclear Norm Regularization. IEEE Signal Process. Lett. 29: 169-173 (2022) - [j111]Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang:
Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations. IEEE ACM Trans. Audio Speech Lang. Process. 30: 520-533 (2022) - [j110]Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu:
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 30: 622-634 (2022) - [j109]Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang:
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1665-1678 (2022) - [j108]Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, Lifang He, Philip S. Yu, Albert Y. Zomaya, Rajiv Ranjan:
Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Trans. Computers 71(3): 628-642 (2022) - [j107]Xiaohang Xu, Hao Peng, Md. Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He:
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. IEEE Trans. Ind. Informatics 18(7): 4788-4797 (2022) - [j106]Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He:
A Survey on Text Classification: From Traditional to Deep Learning. ACM Trans. Intell. Syst. Technol. 13(2): 31:1-31:41 (2022) - [j105]Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings:
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Trans. Intell. Syst. Technol. 13(4): 52:1-52:3 (2022) - [j104]Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu:
Federated Social Recommendation with Graph Neural Network. ACM Trans. Intell. Syst. Technol. 13(4): 55:1-55:24 (2022) - [j103]Sicong Che, Zhaoming Kong, Hao Peng, Lichao Sun, Alex D. Leow, Yong Chen, Lifang He:
Federated Multi-view Learning for Private Medical Data Integration and Analysis. ACM Trans. Intell. Syst. Technol. 13(4): 61:1-61:23 (2022) - [j102]Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings:
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Trans. Intell. Syst. Technol. 13(5): 69:1-69:2 (2022) - [j101]Yali Gao, Xiaoyong Li, Hao Peng, Binxing Fang, Philip S. Yu:
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. 34(2): 708-722 (2022) - [j100]Hu Zhu, Hao Peng, Guoxia Xu, Lizhen Deng, Yueying Cheng, Aiguo Song:
Bilateral Weighted Regression Ranking Model With Spatial-Temporal Correlation Filter for Visual Tracking. IEEE Trans. Multim. 24: 2098-2111 (2022) - [j99]Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He:
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2530-2542 (2022) - [j98]Zhao-Long Hu, Jianmin Han, Hao Peng, Jianfeng Lu, Xiangbin Zhu, Riheng Jia, Minglu Li:
Locating Sources in Multiplex Networks for Linear Diffusion Systems. IEEE Trans. Netw. Sci. Eng. 9(5): 3515-3530 (2022) - [j97]Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu:
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. ACM Trans. Inf. Syst. 40(4): 69:1-69:46 (2022) - [j96]Jianyong Zhu, Renyu Yang, Xiaoyang Sun, Tianyu Wo, Chunming Hu, Hao Peng, Junqing Xiao, Albert Y. Zomaya, Jie Xu:
QoS-Aware Co-Scheduling for Distributed Long-Running Applications on Shared Clusters. IEEE Trans. Parallel Distributed Syst. 33(12): 4818-4834 (2022) - [j95]Guoqi Xie, Xiongren Xiao, Hao Peng, Renfa Li, Keqin Li:
A Survey of Low-Energy Parallel Scheduling Algorithms. IEEE Trans. Sustain. Comput. 7(1): 27-46 (2022) - [c142]Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-Supervised Mixed-Curvature Graph Neural Network. AAAI 2022: 4146-4155 - [c141]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. AAAI 2022: 4165-4174 - [c140]Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) 2022: 3194-3213 - [c139]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. ACL (1) 2022: 7469-7483 - [c138]Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu:
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. IEEE Big Data 2022: 525-534 - [c137]