Eagle: An Agile Approach to Automaton Updating in Cloud Security Services. - Hao Peng 001; Zhe Liu 004; Jie Shen; Xue Li; Hanteng Chen; Jianxin Li 002; Lu Liu 001 (SOSE, 2016)

Incrementally Learning the Hierarchical Softmax Function for Neural Language Models. - Hao Peng 001; Jianxin Li 002; Yangqiu Song; Yaopeng Liu (AAAI, 2017)

Optimizing XCSR for Text Classification. - Muhammad Hassan Arif; Jianxin Li 002; Muhammad Iqbal 001; Hao Peng 001 (SOSE, 2017)

Time-evolving Text Classification with Deep Neural Networks. - Yu He; Jianxin Li 002; Yangqiu Song; Mutian He 001; Hao Peng 001 (IJCAI, 2018)

Graph CNNs for Urban Traffic Passenger Flows Prediction. - Jing Li; Hao Peng 001; Lin Liu; Guixi Xiong; Bowen Du 001; Hongyuan Ma; Lihong Wang; Md. Zakirul Alam Bhuiyan (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction. - Zou Zhene; Hao Peng 001; Liu Lin; Guixi Xiong; Bowen Du 001; Md. Zakirul Alam Bhuiyan; Yuntao Long; Da Li (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. - Hao Peng 001; Jianxin Li 002; Yu He; Yaopeng Liu; Mengjiao Bao; Lihong Wang; Yangqiu Song; Qiang Yang 001 (WWW, 2018)

Graph Convolutional Neural Networks via Motif-based Attention. - Hao Peng 001; Jianxin Li 002; Qiran Gong; Yuanxing Ning; Lihong Wang (CoRR, 2018)

Eagle+: A fast incremental approach to automaton and table online updates for cloud services. - Jianxin Li 002; Hao Peng 001; Erica Yang; Chunming Hu; Shenghai Zhong; Lihong Wang (Future Gener. Comput. Syst., 2018)

Incremental term representation learning for social network analysis. - Hao Peng 001; Mengjiao Bao; Jianxin Li 002; Md. Zakirul Alam Bhuiyan; Yaopeng Liu; Yu He; Erica Yang (Future Gener. Comput. Syst., 2018)

HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. - Yu He; Yangqiu Song; Jianxin Li 002; Cheng Ji 001; Jian Peng 001; Hao Peng 001 (CIKM, 2019)

Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. - Qianren Mao; Jianxin Li 002; Senzhang Wang; Yuanning Zhang; Hao Peng 001; Min He; Lihong Wang (IJCAI, 2019)

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. - Hao Peng 001; Jianxin Li 002; Qiran Gong; Yangqiu Song; Yuanxing Ning; Kunfeng Lai; Philip S. Yu (IJCAI, 2019)

Learning Semantic Coherence for Machine Generated Spam Text Detection. - Mengjiao Bao; Jianxin Li 002; Jian Zhang 087; Hao Peng 001; Xudong Liu 001 (IJCNN, 2019)

Bibliographic Name Disambiguation with Graph Convolutional Network. - Hao Yan 004; Hao Peng 001; Chen Li 046; Jianxin Li 002; Lihong Wang (WISE, 2019)

Fabricating QR codes on 3D objects using self-shadows. - Hao Peng 001; Lin Lu 001; Lin Liu; Andrei Sharf; Baoquan Chen (Comput. Aided Des., 2019)

3D printed perforated QR codes. - Jingru Yang; Hao Peng 001; Lin Liu; Lin Lu 001 (Comput. Graph., 2019)

Prediction of academic performance associated with internet usage behaviors using machine learning algorithms. - Xing Xu 004; Jianzhong Wang; Hao Peng 001; Ruilin Wu (Comput. Hum. Behav., 2019)

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. - Hao Peng 001; Jianxin Li 002; Qiran Gong; Senzhang Wang; Lifang He 001; Bo Li 005; Lihong Wang; Philip S. Yu (CoRR, 2019)

RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. - Yu He; Jianxin Li 002; Yangqiu Song; Xinmiao Zhang 004; Fanzhang Peng; Hao Peng 001 (CoRR, 2019)

TOPOSCH: Latency-Aware Scheduling Based on Critical Path Analysis on Shared YARN Clusters. - Chunming Hu; Jianyong Zhu; Renyu Yang; Hao Peng 001; Tianyu Wo; Shiqing Xue; Xiaoqiang Yu; Jie Xu 007; Rajiv Ranjan 001 (CLOUD, 2020)

Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. - Hao Peng 001; Jianxin Li 002; Qiran Gong; Yuanxing Ning; Senzhang Wang; Lifang He 001 (AAAI, 2020)

Heterogeneous Similarity Graph Neural Network on Electronic Health Records. - Zheng Liu 017; Xiaohan Li 001; Hao Peng 001; Lifang He 001; Philip S. Yu (IEEE BigData, 2020)

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. - Yingtong Dou; Zhiwei Liu 001; Li Sun 008; Yutong Deng; Hao Peng 001; Philip S. Yu (CIKM, 2020)

Low-shot Learning in Natural Language Processing. - Congying Xia; Chenwei Zhang; Jiawei Zhang 001; Tingting Liang; Hao Peng 001; Philip S. Yu (CogMI, 2020)

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. - Zhongfen Deng; Hao Peng 001; Congying Xia; Jianxin Li 002; Lifang He 001; Philip S. Yu (COLING, 2020)

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. - Qingyun Sun; Hao Peng 001; Jianxin Li 002; Senzhang Wang; Xiangyu Dong 002; Liangxuan Zhao; Philip S. Yu; Lifang He 001 (ICDM, 2020)

Multi-information Source HIN for Medical Concept Embedding. - Yuwei Cao; Hao Peng 001; Philip S. Yu (PAKDD (2), 2020)

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. - Jibing Gong; Shen Wang 005; Jinlong Wang 005; Wenzheng Feng; Hao Peng 001; Jie Tang 001; Philip S. Yu (SIGIR, 2020)

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. - Zhiwei Liu 001; Yingtong Dou; Philip S. Yu; Yutong Deng; Hao Peng 001 (SIGIR, 2020)

Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment. - Jibing Gong; Yi Zhao; Shuai Chen; Hongfei Wang; Linfeng Du; Shuli Wang; Md. Zakirul Alam Bhuiyan; Hao Peng 001; Bowen Du 001 (IEEE Access, 2020)

Fabricable Unobtrusive 3D-QR-Codes with Directional Light. - Hao Peng 001; Peiqing Liu; Lin Lu 001; Andrei Sharf; Lin Liu; Dani Lischinski; Baoquan Chen (Comput. Graph. Forum, 2020)

Dynamic network embedding via incremental skip-gram with negative sampling. - Hao Peng 001; Jianxin Li 002; Hao Yan 004; Qiran Gong; Senzhang Wang; Lin Liu; Lihong Wang; Xiang Ren 001 (Sci. China Inf. Sci., 2020)

Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. - Chen Li 046; Xutan Peng; Hao Peng 001; Jianxin Li 002; Lihong Wang; Philip S. Yu (CoRR, 2020)

A Survey on Text Classification: From Shallow to Deep Learning. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Congying Xia; Renyu Yang; Lichao Sun 001; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. - Hao Peng 001; Jianxin Li 002; Zheng Wang 001; Renyu Yang; Mingzhe Liu 002; Mingming Zhang; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Event detection and evolution in multi-lingual social streams. - Yaopeng Liu; Hao Peng 001; Jianxin Li 002; Yangqiu Song; Xiong Li (Frontiers Comput. Sci., 2020)

LSTM variants meet graph neural networks for road speed prediction. - Zhilong Lu; Weifeng Lv; Yabin Cao; Zhipu Xie; Hao Peng 001; Bowen Du 001 (Neurocomputing, 2020)

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting. - Hao Peng 001; Hongfei Wang; Bowen Du 001; Md. Zakirul Alam Bhuiyan; Hongyuan Ma; Jianwei Liu 001; Lihong Wang; Zeyu Yang; Linfeng Du; Senzhang Wang; Philip S. Yu (Inf. Sci., 2020)

Multi-attributed heterogeneous graph convolutional network for bot detection. - Jun Zhao 017; Xudong Liu 001; Qiben Yan; Bo Li 005; Minglai Shao 001; Hao Peng 001 (Inf. Sci., 2020)

Towards a distributed local-search approach for partitioning large-scale social networks. - Bin Zheng; Liu Ouyang; Jing Li; Yong Lin; Chong Chang; Bo Li 005; Tefeng Chen; Hao Peng 001 (Inf. Sci., 2020)

Modeling relation paths for knowledge base completion via joint adversarial training. - Chen Li 046; Xutan Peng; Shanghang Zhang; Hao Peng 001; Philip S. Yu; Min He; Linfeng Du; Lihong Wang (Knowl. Based Syst., 2020)

Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction. - Bowen Du 001; Hao Peng 001; Senzhang Wang; Md. Zakirul Alam Bhuiyan; Lihong Wang; Qiran Gong; Lin Liu; Jing Li (IEEE Trans. Intell. Transp. Syst., 2020)

Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters. - Renyu Yang; Chunming Hu; Xiaoyang Sun; Peter Garraghan; Tianyu Wo; Zhenyu Wen; Hao Peng 001; Jie Xu 007; Chao Li (IEEE Trans. Parallel Distributed Syst., 2020)

SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction. - Senzhang Wang; Jiannong Cao 001; Hao Chen 062; Hao Peng 001; Zhiqiu Huang (ACM Trans. Spatial Algorithms Syst., 2020)

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. - Ye Liu 006; Yao Wan 001; Lifang He 001; Hao Peng 001; Philip S. Yu (AAAI, 2021)

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. - Li Sun 008; Zhongbao Zhang; Jiawei Zhang 001; Feiyang Wang; Hao Peng 001; Sen Su; Philip S. Yu (AAAI, 2021)

Adversarial Directed Graph Embedding. - Shijie Zhu; Jianxin Li 002; Hao Peng 001; Senzhang Wang; Lifang He 001 (AAAI, 2021)

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. - Xiaohan Li 001; Zhiwei Liu 001; Stephen D. Guo; Zheng Liu 017; Hao Peng 001; Philip S. Yu; Kannan Achan (IEEE BigData, 2021)

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. - Chen Li 046; Xutan Peng; Hao Peng 001; Jia Wu 001; Lihong Wang; Philip S. Yu; Jianxin Li 002; Lichao Sun 001 (CIKM, 2021)

Differentially Private Federated Knowledge Graphs Embedding. - Hao Peng 001; Haoran Li 003; Yangqiu Song; Vincent W. Zheng; Jianxin Li 002 (CIKM, 2021)

KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph. - Yiying Yang; Xi Yin 007; Haiqin Yang; Xingjian Fei; Hao Peng 001; Kaijie Zhou; Kunfeng Lai; Jianping Shen (DASFAA (1), 2021)

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. - Xingcheng Fu; Jianxin Li 002; Jia Wu 001; Qingyun Sun; Cheng Ji 001; Senzhang Wang; Jiajun Tan; Hao Peng 001; Philip S. Yu (ICDM, 2021)

TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. - Chen Li 046; Xutan Peng; Hao Peng 001; Jianxin Li 002; Lihong Wang (IJCAI, 2021)

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. - Gongxu Luo; Jianxin Li 002; Hao Peng 001; Carl Yang 001; Lichao Sun 001; Philip S. Yu; Lifang He 001 (IJCAI, 2021)

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. - Zhongfen Deng; Hao Peng 001; Dongxiao He; Jianxin Li 002; Philip S. Yu (NAACL-HLT, 2021)

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. - Yuwei Cao; Hao Peng 001; Jia Wu 001; Yingtong Dou; Jianxin Li 002; Philip S. Yu (WWW, 2021)

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. - Qingyun Sun; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Yuanxing Ning; Philip S. Yu; Lifang He 001 (WWW, 2021)

A reliable deep learning-based algorithm design for IoT load identification in smart grid. - Yanmei Jiang; Mingsheng Liu; Hao Peng 001; Md. Zakirul Alam Bhuiyan (Ad Hoc Networks, 2021)

Constrained stacking in DLP 3D printing. - Lingxin Cao; Lihao Tian; Hao Peng 001; Yu Zhou; Lin Lu 001 (Comput. Graph., 2021)

Mechanical property profiles of microstructures via asymptotic homogenization. - Peiqing Liu; An Liu; Hao Peng 001; Lihao Tian; Jikai Liu; Lin Lu 001 (Comput. Graph., 2021)

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. - Jun Zhao 017; Xudong Liu 001; Qiben Yan; Bo Li 005; Minglai Shao 001; Hao Peng 001; Lichao Sun 001 (Comput. Secur., 2021)

Federated Depression Detection from Multi-SourceMobile Health Data. - Xiaohang Xu 002; Hao Peng 001; Lichao Sun 001; Yan Niu; Hongyuan Ma; Lianzhong Liu; Lifang He 001 (CoRR, 2021)

Federated Multi-View Learning for Private Medical Data Integration and Analysis. - Sicong Che; Hao Peng 001; Lichao Sun 001; Yong Chen 016; Lifang He 001 (CoRR, 2021)

Federated Knowledge Graphs Embedding. - Hao Peng 001; Haoran Li 003; Yangqiu Song; Vincent W. Zheng; Jianxin Li 002 (CoRR, 2021)

Automated Timeline Length Selection for Flexible Timeline Summarization. - Xi Li 001; Qianren Mao; Hao Peng 001; Hongdong Zhu; Jianxin Li 002; Zheng Wang 001 (CoRR, 2021)

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. - Qianren Mao; Xi Li 001; Hao Peng 001; Bang Liu; Shu Guo; Jianxin Li 002; Lihong Wang; Philip S. Yu (CoRR, 2021)

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Yuanxing Ning; Lihong Wang; Philip S. Yu; Zheng Wang 001 (CoRR, 2021)

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Yiming Hei; Rui Sun; Jiawei Sheng; Shu Guo; Lihong Wang; Philip S. Yu (CoRR, 2021)

Multiplex Graph Networks for Multimodal Brain Network Analysis. - Zhaoming Kong; Lichao Sun 001; Hao Peng 001; Liang Zhan; Yong Chen 016; Lifang He 001 (CoRR, 2021)

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. - Yizhen Zheng; Ming Jin 005; Shirui Pan; Yuan-Fang Li; Hao Peng 001; Ming Li 065; Zhao Li 007 (CoRR, 2021)

Event prediction based on evolutionary event ontology knowledge. - Qianren Mao; Xi Li 001; Hao Peng 001; Jianxin Li 002; Dongxiao He; Shu Guo; Min He; Lihong Wang (Future Gener. Comput. Syst., 2021)

Learning graph attention-aware knowledge graph embedding. - Chen Li 046; Xutan Peng; Yuhang Niu; Shanghang Zhang; Hao Peng 001; Chuan Zhou 001; Jianxin Li 002 (Neurocomputing, 2021)

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning. - Hao Peng 001; Bowen Du 001; Mingsheng Liu; Mingzhe Liu 002; Shumei Ji; Senzhang Wang; Xu Zhang; Lifang He 001 (Inf. Sci., 2021)

RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. - Jianxin Li 002; Cheng Ji 001; Hao Peng 001; Yu He; Yangqiu Song; Xinmiao Zhang 004; Fanzhang Peng (J. Artif. Intell. Res., 2021)

Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning. - Jun Zhao 017; Minglai Shao 001; Hao Peng 001; Hong Wang 015; Bo Li 005; Xudong Liu 001 (Knowl. Based Syst., 2021)

POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling. - Haoyi Zhou; Hao Peng 001; Jieqi Peng; Shuai Zhang 026; Jianxin Li 002 (ACM Trans. Intell. Syst. Technol., 2021)

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. - Hao Peng 001; Jianxin Li 002; Yangqiu Song; Renyu Yang; Rajiv Ranjan 001; Philip S. Yu; Lifang He 001 (ACM Trans. Knowl. Discov. Data, 2021)

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. - Hao Peng 001; Jianxin Li 002; Senzhang Wang; Lihong Wang; Qiran Gong; Renyu Yang; Bo Li 005; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2021)

Graph Structure Learning with Variational Information Bottleneck. - Qingyun Sun; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Xingcheng Fu; Cheng Ji 001; Philip S. Yu (AAAI, 2022)

A Self-Supervised Mixed-Curvature Graph Neural Network. - Li Sun 008; Zhongbao Zhang; Junda Ye; Hao Peng 001; Jiawei Zhang 001; Sen Su; Philip S. Yu (AAAI, 2022)

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Chen Wang 052; Peijie Huang; Hao Peng 001; Philip S. Yu (IEEE Big Data, 2022)

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. - Li Sun 008; Junda Ye; Hao Peng 001; Philip S. Yu (CIKM, 2022)

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. - Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Yuwei Cao; Jia Wu 001; Philip S. Yu; Lifang He 001 (CIKM, 2022)

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. - Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Lingjuan Lyu; Zhiwei Liu 001; Chaochao Chen 001; Jia Wu 001; Xu Bai; Philip S. Yu (CIKM, 2022)

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. - Qingyun Sun; Jianxin Li 002; Haonan Yuan; Xingcheng Fu; Hao Peng 001; Cheng Ji 001; Qian Li 033; Philip S. Yu (CIKM, 2022)

Automating DBSCAN via Deep Reinforcement Learning. - Ruitong Zhang; Hao Peng 001; Yingtong Dou; Jia Wu 001; Qingyun Sun; Yangyang Li; Jingyi Zhang; Philip S. Yu (CIKM, 2022)

DAGAD: Data Augmentation for Graph Anomaly Detection. - Fanzhen Liu; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Amin Beheshti; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu C. Aggarwal (ICDM, 2022)

HiGIL: Hierarchical Graph Inference Learning for Fact Checking. - Qianren Mao; Yiming Wang 010; Chenghong Yang; Linfeng Du; Hao Peng 001; Jia Wu 001; Jianxin Li 002; Zheng Wang 001 (ICDM, 2022)

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. - Yuecen Wei; Xingcheng Fu; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (ICDM, 2022)

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. - Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Zhiwei Liu 001; Jia Wu 001; Philip S. Yu (ICWS, 2022)

Feedforward Neural Network Reconstructed from High-order Quantum Systems. - Junwei Zhang 009; Zhao Li 007; Hao Peng 001; Ming Li 065; Xiaofen Wang (IJCNN, 2022)

Structure-Preserving Graph Kernel for Brain Network Classification. - Jun Yu; Zhaoming Kong; Aditya Kendre; Hao Peng 001; Carl Yang 001; Lichao Sun 001; Alex D. Leow; Lifang He 001 (ISBI, 2022)

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction. - Yuwei Cao; William Groves; Tanay Kumar Saha; Joel R. Tetreault; Alejandro Jaimes; Hao Peng 001; Philip S. Yu (NAACL-HLT (Findings), 2022)

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (NeurIPS, 2022)

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. - Ge Zhang 002; Zhenyu Yang 004; Jia Wu 001; Jian Yang 001; Shan Xue 001; Hao Peng 001; Jianlin Su; Chuan Zhou 001; Quan Z. Sheng; Leman Akoglu; Charu C. Aggarwal (NeurIPS, 2022)

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. - Qianren Mao; Hongdong Zhu; Junnan Liu; Cheng Ji 001; Hao Peng 001; Jianxin Li 002; Lihong Wang; Zheng Wang 001 (SIGIR, 2022)

Sequential Recommendation via Stochastic Self-Attention. - Ziwei Fan 001; Zhiwei Liu 001; Yu Wang 158; Alice Wang; Zahra Nazari; Lei Zheng 001; Hao Peng 001; Philip S. Yu (WWW, 2022)

Curvature Graph Generative Adversarial Networks. - Jianxin Li 002; Xingcheng Fu; Qingyun Sun; Cheng Ji 001; Jiajun Tan; Jia Wu 001; Hao Peng 001 (WWW, 2022)

Towards Unsupervised Deep Graph Structure Learning. - Yixin Liu 001; Yu Zheng 013; Daokun Zhang; Hongxu Chen 002; Hao Peng 001; Shirui Pan (WWW, 2022)

DH-Net: Deformed Microstructure Homogenization via 3D Convolutional Neural Networks. - Hao Peng 001; An Liu; Jingcheng Huang; Jikai Liu; Lin Lu 001 (CoRR, 2022)

PyGOD: A Python Library for Graph Outlier Detection. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; George H. Chen; Zhihao Jia; et al. (CoRR, 2022)

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction. - Yuwei Cao; William Groves; Tanay Kumar Saha; Joel R. Tetreault; Alex Jaimes; Hao Peng 001; Philip S. Yu (CoRR, 2022)

Graph-level Neural Networks: Current Progress and Future Directions. - Ge Zhang 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Wenbin Hu 001; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu Aggarwal 001 (CoRR, 2022)

Benchmarking Node Outlier Detection on Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (CoRR, 2022)

Dynamic Measurement of Structural Entropy for Dynamic Graphs. - Runze Yang; Hao Peng 001; Angsheng Li (CoRR, 2022)

Automating DBSCAN via Deep Reinforcement Learning. - Ruitong Zhang; Hao Peng 001; Yingtong Dou; Jia Wu 001; Qingyun Sun; Jingyi Zhang; Philip S. Yu (CoRR, 2022)

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Chen Wang 018; Peijie Huang; Hao Peng 001; Philip S. Yu (CoRR, 2022)

Blockchain-enabled fraud discovery through abnormal smart contract detection on Ethereum. - Lin Liu; Wei-Tek Tsai; Md. Zakirul Alam Bhuiyan; Hao Peng 001; Mingsheng Liu (Future Gener. Comput. Syst., 2022)

What happens next? Combining enhanced multilevel script learning and dual fusion strategies for script event prediction. - Pengpeng Zhou; Bin Wu 001; Caiyong Wang; Hao Peng 001; Juwei Yue; Song Xiao 004 (Int. J. Intell. Syst., 2022)

Cross-knowledge-graph entity alignment via relation prediction. - Hongren Huang; Chen Li 046; Xutan Peng; Lifang He 001; Shu Guo; Hao Peng 001; Lihong Wang; Jianxin Li 002 (Knowl. Based Syst., 2022)

Deep reinforcement learning guided graph neural networks for brain network analysis. - Xusheng Zhao; Jia Wu 001; Hao Peng 001; Amin Beheshti; Jessica J. M. Monaghan; David McAlpine; Heivet Hernandez-Perez; Mark Dras; Qiong Dai; Yangyang Li; Philip S. Yu; Lifang He 001 (Neural Networks, 2022)

Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Jia Wu 001; Yuanxing Ning; Lihong Wang; Philip S. Yu; Zheng Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. - Qianren Mao; Jianxin Li 002; Chenghua Lin; Congwen Chen; Hao Peng 001; Lihong Wang; Philip S. Yu (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. - Qianren Mao; Jianxin Li 002; Hao Peng 001; Shizhu He; Lihong Wang; Philip S. Yu; Zheng Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. - Hao Peng 001; Renyu Yang; Zheng Wang 001; Jianxin Li 002; Lifang He 001; Philip S. Yu; Albert Y. Zomaya; Rajiv Ranjan 001 (IEEE Trans. Computers, 2022)

Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. - Xiaohang Xu 002; Hao Peng 001; Md. Zakirul Alam Bhuiyan; Zhifeng Hao; Lianzhong Liu; Lichao Sun 001; Lifang He 001 (IEEE Trans. Ind. Informatics, 2022)

Federated Multi-view Learning for Private Medical Data Integration and Analysis. - Sicong Che; Zhaoming Kong; Hao Peng 001; Lichao Sun 001; Alex D. Leow; Yong Chen 016; Lifang He 001 (ACM Trans. Intell. Syst. Technol., 2022)

A Survey on Text Classification: From Traditional to Deep Learning. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Congying Xia; Renyu Yang; Lichao Sun 001; Philip S. Yu; Lifang He 001 (ACM Trans. Intell. Syst. Technol., 2022)

Federated Social Recommendation with Graph Neural Network. - Zhiwei Liu 001; Liangwei Yang; Ziwei Fan 001; Hao Peng 001; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2022)

Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. - Qiang Yang 001; Yongxin Tong; Yang Liu 165; Yangqiu Song; Hao Peng 001; Boi Faltings (ACM Trans. Intell. Syst. Technol., 2022)

Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. - Qiang Yang 001; Yongxin Tong; Yang Liu 165; Yangqiu Song; Hao Peng 001; Boi Faltings (ACM Trans. Intell. Syst. Technol., 2022)

HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network. - Yali Gao; Xiaoyong Li 003; Hao Peng 001; Binxing Fang; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. - Chen Li 046; Hao Peng 001; Jianxin Li 002; Lichao Sun 001; Lingjuan Lyu; Lihong Wang; Philip S. Yu; Lifang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. - Hao Peng 001; Ruitong Zhang; Yingtong Dou; Renyu Yang; Jingyi Zhang; Philip S. Yu (ACM Trans. Inf. Syst., 2022)

QoS-Aware Co-Scheduling for Distributed Long-Running Applications on Shared Clusters. - Jianyong Zhu; Renyu Yang; Xiaoyang Sun; Tianyu Wo; Chunming Hu; Hao Peng 001; Junqing Xiao; Albert Y. Zomaya; Jie Xu 007 (IEEE Trans. Parallel Distributed Syst., 2022)

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. - Qingyun Sun; Jianxin Li 002; Beining Yang; Xingcheng Fu; Hao Peng 001; Philip S. Yu (AAAI, 2023)

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. - Li Sun 008; Junda Ye; Hao Peng 001; Feiyang Wang; Philip S. Yu (AAAI, 2023)

Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles. - Xianghua Zeng; Hao Peng 001; Angsheng Li (AAAI, 2023)

Content Style-triggered Backdoor Attack in Non-IID Federated Learning via Generative AI. - Jinke Cheng; Gaolei Li; Xi Lin 003; Hao Peng 001; Jianhua Li 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction. - Xusheng Zhao; Hao Liu; Qiong Dai; Hao Peng 001; Xu Bai; Huailiang Peng (BIBM, 2023)

JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. - Zhongfen Deng; Hao Peng 001; Tao Zhang 055; Shuaiqi Liu 002; Wenting Zhao 006; Yibo Wang 001; Philip S. Yu (IEEE Big Data, 2023)

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (CIKM, 2023)

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. - Li Sun 008; Zhenhao Huang 001; Hua Wu; Junda Ye; Hao Peng 001; Zhengtao Yu 001; Philip S. Yu (ICDM, 2023)

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. - Guangjie Zeng; Hao Peng 001; Angsheng Li; Zhiwei Liu 001; Chunyang Liu; Philip S. Yu; Lifang He 001 (ICDM, 2023)

A Perspective Survey on Industrial Knowledge Graphs: Recent Advances, Open Challenges, and Future Directions. - Yuhu Shang; Yimeng Ren 001; Hao Peng 001; Yue Wang 129; Gang Wang; Zhong Cheng Li; Yangzhao Yang; Yangyang Li (ICMLC, 2023)

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. - Li Sun 008; Feiyang Wang; Junda Ye; Hao Peng 001; Philip S. Yu (IJCAI, 2023)

Hierarchical State Abstraction based on Structural Information Principles. - Xianghua Zeng; Hao Peng 001; Angsheng Li; Chunyang Liu; Lifang He 001; Philip S. Yu (IJCAI, 2023)

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. - Haonan Yuan; Qingyun Sun; Xingcheng Fu; Ziwei Zhang 001; Cheng Ji 001; Hao Peng 001; Jianxin Li 002 (NeurIPS, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 052; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (RecSys, 2023)

Reinforcement Learning Guided Multi-Objective Exam Paper Generation. - Yuhu Shang; Xuexiong Luo; Lihong Wang; Hao Peng 001; Xiankun Zhang; Yimeng Ren 001; Kun Liang 002 (SDM, 2023)

Graph Collaborative Signals Denoising and Augmentation for Recommendation. - Ziwei Fan 001; Ke Xu; Zhang Dong; Hao Peng 001; Jiawei Zhang 001; Philip S. Yu (SIGIR, 2023)

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. - Cheng Ji 001; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Xingcheng Fu; Qingyun Sun; Philip S. Yu (WSDM, 2023)

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2023)

Minimum Entropy Principle Guided Graph Neural Networks. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Hao Peng 001; Angsheng Li; Shan Xue 001; Jianlin Su (WSDM, 2023)

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. - Ziwei Fan 001; Zhiwei Liu 001; Hao Peng 001; Philip S. Yu (WWW, 2023)

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. - Xingcheng Fu; Yuecen Wei; Qingyun Sun; Haonan Yuan; Jia Wu 001; Hao Peng 001; Jianxin Li 002 (WWW, 2023)

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. - Yingguang Yang; Renyu Yang; Hao Peng 001; Yangyang Li; Tong Li 013; Yong Liao; Pengyuan Zhou (WWW, 2023)

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. - Dongcheng Zou; Hao Peng 001; Xiang Huang; Renyu Yang; Jianxin Li 002; Jia Wu 001; Chunyang Liu; Philip S. Yu (WWW, 2023)

A Comprehensive Survey of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu C. Aggarwal; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (CoRR, 2023)

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. - Ce Zhou; Qian Li 033; Chen Li 046; Jun Yu; Yixin Liu 002; Guangjing Wang 001; Kai Zhang 039; Cheng Ji 001; Qiben Yan; Lifang He 001; Hao Peng 001; Jianxin Li 002; et al. (CoRR, 2023)

Contrastive Graph Clustering in Curvature Spaces. - Li Sun 008; Feiyang Wang; Junda Ye; Hao Peng 001; Philip S. Yu (CoRR, 2023)

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. - Ziwei Fan 001; Zhiwei Liu 001; Hao Peng 001; Philip S. Yu (CoRR, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 018; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (CoRR, 2023)

Monitoring industrial control systems via spatio-temporal graph neural networks. - Yue Wang 129; Hao Peng 001; Gang Wang; Xianghong Tang; Xuejian Wang; Chunyang Liu (Eng. Appl. Artif. Intell., 2023)

Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages. - Hao Peng 001; Ruitong Zhang; Shaoning Li; Yuwei Cao; Shirui Pan; Philip S. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. - Jianxin Li 002; Hao Peng 001; Yuwei Cao; Yingtong Dou; Hekai Zhang; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments. - Zhenyu Wen; Renyu Yang; Bin Qian 002; Yubo Xuan; Lingling Lu; Zheng Wang 001; Hao Peng 001; Jie Xu 007; Albert Y. Zomaya; Rajiv Ranjan 001 (IEEE Trans. Serv. Comput., 2023)

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. - Tao Zhang 055; Congying Xia; Zhiwei Liu 001; Shu Zhao; Hao Peng 001; Philip S. Yu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. - Hao Peng 001; Jianxin Li 002; Zheng Wang 001; Renyu Yang; Mingsheng Liu; Mingming Zhang; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation. - Xusheng Zhao; Qiong Dai; Jia Wu 001; Hao Peng 001; Mingsheng Liu; Xu Bai; Jianlong Tan; Senzhang Wang; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Adaptive curvature exploration geometric graph neural network. - Xingcheng Fu; Jianxin Li 002; Jia Wu 001; Jiawen Qin; Qingyun Sun; Cheng Ji 001; Senzhang Wang; Hao Peng 001; Philip S. Yu (Knowl. Inf. Syst., 2023)

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. - Jianxin Li 002; Qingyun Sun; Hao Peng 001; Beining Yang; Jia Wu 001; Philip S. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Semi-Supervised EEG Clustering With Multiple Constraints. - Chenglong Dai; Jia Wu 001; Jessica J. M. Monaghan; Guanghui Li 001; Hao Peng 001; Stefanie I. Becker; David McAlpine (IEEE Trans. Knowl. Data Eng., 2023)

Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1. - Hao Peng 001; Jian Yang 001; Jia Wu 001; Philip S. Yu (ACM Trans. Web, 2023)

Heterogeneous graph neural network with semantic-aware differential privacy guarantees. - Yuecen Wei; Xingcheng Fu; Dongqi Yan; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (Knowl. Inf. Syst., 2023)

A Robust and Generalized Framework for Adversarial Graph Embedding. - Jianxin Li 002; Xingcheng Fu; Shijie Zhu; Hao Peng 001; Senzhang Wang; Qingyun Sun; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

Event Extraction by Associating Event Types and Argument Roles. - Qian Li 033; Shu Guo; Jia Wu 001; Jianxin Li 002; Jiawei Sheng; Hao Peng 001; Lihong Wang (IEEE Trans. Big Data, 2023)

Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. - Jianxin Li 002; Lifang He 001; Hao Peng 001; Peng Cui 001; Charu C. Aggarwal; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. - Yuwei Cao; Hao Peng 001; Zhengtao Yu 001; Philip S. Yu (AAAI, 2024)

ReGCL: Rethinking Message Passing in Graph Contrastive Learning. - Cheng Ji 001; Zixuan Huang; Qingyun Sun; Hao Peng 001; Xingcheng Fu; Qian Li 033; Jianxin Li 002 (AAAI, 2024)

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. - Li Sun 008; Zhenhao Huang 001; Zixi Wang; Feiyang Wang; Hao Peng 001; Philip S. Yu (AAAI, 2024)

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. - Yuecen Wei; Haonan Yuan; Xingcheng Fu; Qingyun Sun; Hao Peng 001; Xianxian Li; Chunming Hu (AAAI, 2024)

Adversarial Socialbots Modeling Based on Structural Information Principles. - Xianghua Zeng; Hao Peng 001; Angsheng Li (AAAI, 2024)

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. - Zhe Liu 004; Xiang Huang; Jingyun Zhang; Zhifeng Hao; Li Sun 008; Hao Peng 001 (CIKM, 2024)

Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction. - Kun Peng; Lei Jiang 003; Qian Li 033; Haoran Li 003; Xiaoyan Yu; Li Sun 008; Shuo Sun; Yanxian Bi; Hao Peng 001 (CIKM, 2024)

A Mixed-Curvature Graph Diffusion Model. - Yujie Wang; Shuo Zhang; Junda Ye; Hao Peng 001; Li Sun 008 (CIKM, 2024)

Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection. - Zhiwei Yang; Yuecen Wei; Haoran Li 003; Qian Li 033; Lei Jiang 003; Li Sun 008; Xiaoyan Yu; Chunming Hu; Hao Peng 001 (CIKM, 2024)

DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. - Xiaoyan Yu; Yifan Wei 001; Pu Li; Shuaishuai Zhou; Hao Peng 001; Li Sun 008; Liehuang Zhu; Philip S. Yu (CIKM, 2024)

A Structural Information Guided Hierarchical Reconstruction for Graph Anomaly Detection. - Dongcheng Zou; Hao Peng 001; Chunyang Liu (CIKM, 2024)

Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent. - Xiaoyan Yu; Tongxu Luo; Yifan Wei 001; Fangyu Lei; Yiming Huang; Hao Peng 001; Liehuang Zhu (EMNLP, 2024)

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. - Li Sun 008; Zhenhao Huang 001; Hao Peng 001; Yujie Wang; Chunyang Liu; Philip S. Yu (ICML, 2024)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation. - Xingcheng Fu; Yisen Gao; Yuecen Wei; Qingyun Sun; Hao Peng 001; Jianxin Li 002; Xianxian Li (ICML, 2024)

Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. - Buyun He; Yingguang Yang; Qi Wu 021; Hao Liu; Renyu Yang; Hao Peng 001; Xiang Wang 010; Yong Liao; Pengyuan Zhou (IJCAI, 2024)

SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection. - Yingguang Yang; Qi Wu 021; Buyun He; Hao Peng 001; Renyu Yang; Zhifeng Hao; Yong Liao (KDD, 2024)

GC-Bench: An Open and Unified Benchmark for Graph Condensation. - Qingyun Sun; Ziying Chen; Beining Yang; Cheng Ji 001; Xingcheng Fu; Sheng Zhou 004; Hao Peng 001; Jianxin Li 002; Philip S. Yu (NeurIPS, 2024)

Spiking Graph Neural Network on Riemannian Manifolds. - Li Sun 008; Zhenhao Huang 001; Qiqi Wan; Hao Peng 001; Philip S. Yu (NeurIPS, 2024)

Effective Exploration Based on the Structural Information Principles. - Xianghua Zeng; Hao Peng 001; Angsheng Li (NeurIPS, 2024)

Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. - Kun Peng; Lei Jiang 003; Hao Peng 001; Rui Liu; Zhengtao Yu 001; Jiaqian Ren; Zhifeng Hao; Philip S. Yu (SDM, 2024)

Semi-Supervised Clustering via Structural Entropy with Different Constraints. - Guangjie Zeng; Hao Peng 001; Angsheng Li; Zhiwei Liu 001; Runze Yang; Chunyang Liu; Lifang He 001 (SDM, 2024)

R-ODE: Ricci Curvature Tells When You Will be Informed. - Li Sun 008; Jingbin Hu; Mengjie Li; Hao Peng 001 (SIGIR, 2024)

Instruction-based Hypergraph Pretraining. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (SIGIR, 2024)

Multi-Relational Structural Entropy. - Yuwei Cao; Hao Peng 001; Angsheng Li; Chenyu You; Zhifeng Hao; Philip S. Yu (UAI, 2024)

Knowledge Graph Context-Enhanced Diversified Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Mingdai Yang; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Unified Pretraining for Recommendation via Task Hypergraphs. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. - Xusheng Zhao; Hao Peng 001; Qiong Dai; Xu Bai; Huailiang Peng; Yanbing Liu; Qinglang Guo; Philip S. Yu (WSDM, 2024)

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization. - Dongcheng Zou; Senzhang Wang; Xuefeng Li 003; Hao Peng 001; Yuandong Wang; Chunyang Liu; Kehua Sheng; Bo Zhang 106 (WSDM, 2024)

RicciNet: Deep Clustering via A Riemannian Generative Model. - Li Sun 008; Jingbin Hu; Suyang Zhou; Zhenhao Huang 001; Junda Ye; Hao Peng 001; Zhengtao Yu 001; Philip S. Yu (WWW, 2024)

Incremental measurement of structural entropy for dynamic graphs. - Runze Yang; Hao Peng 001; Chunyang Liu; Angsheng Li (Artif. Intell., 2024)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Jia Deng; Boji Shan; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; Bowen Zhou 002; et al. (CoRR, 2024)

Effective Reinforcement Learning Based on Structural Information Principles. - Xianghua Zeng; Hao Peng 001; Dingli Su; Angsheng Li (CoRR, 2024)

BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. - Buyun He; Yingguang Yang; Qi Wu 021; Hao Liu; Renyu Yang; Hao Peng 001; Xiang Wang 010; Yong Liao; Pengyuan Zhou (CoRR, 2024)

Free Process Rewards without Process Labels. - Lifan Yuan; Wendi Li; Huayu Chen; Ganqu Cui; Ning Ding 002; Kai Zhang 033; Bowen Zhou 002; Zhiyuan Liu 001; Hao Peng 001 (CoRR, 2024)

SocialED: A Python Library for Social Event Detection. - Kun Zhang 012; Xiaoyan Yu; Pu Li; Hao Peng 001; Philip S. Yu (CoRR, 2024)

PyGOD: A Python Library for Graph Outlier Detection. - Kay Liu; Yingtong Dou; Xueying Ding; Xiyang Hu; Ruitong Zhang; Hao Peng 001; Lichao Sun 001; Philip S. Yu (J. Mach. Learn. Res., 2024)

Structural graph federated learning: Exploiting high-dimensional information of statistical heterogeneity. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Hao Peng 001; Yaohong Zhang; Xiaomin Zhu 001 (Knowl. Based Syst., 2024)

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. - Qian Li 033; Jianxin Li 002; Jia Wu 001; Xutan Peng; Cheng Ji 001; Hao Peng 001; Lihong Wang; Philip S. Yu (Neural Networks, 2024)

CoSENT: Consistent Sentence Embedding via Similarity Ranking. - Xiang Huang; Hao Peng 001; Dongcheng Zou; Zhiwei Liu 001; Jianxin Li 002; Kay Liu; Jia Wu 001; Jianlin Su; Philip S. Yu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

WDEA: The Structure and Semantic Fusion With Wasserstein Distance for Low-Resource Language Entity Alignment. - Ran Song 002; Xiang Huang; Hao Peng 001; Shengxiang Gao; Zhengtao Yu 001; Philip S. Yu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Zero-Shot Text Normalization via Cross-Lingual Knowledge Distillation. - Linqin Wang; Xiang Huang; Zhengtao Yu 001; Hao Peng 001; Shengxiang Gao; Cunli Mao; Yuxin Huang 004; Ling Dong; Philip S. Yu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems. - Hao Peng 001; Jia Wu 001; Jiaxu Cui; Philip S. Yu (Int. J. Mach. Learn. Cybern., 2024)

A Comprehensive Survey on Automatic Knowledge Graph Construction. - Lingfeng Zhong; Jia Wu 001; Qian Li 033; Hao Peng 001; Xindong Wu 001 (ACM Comput. Surv., 2024)

Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. - Yiming Hei; Renyu Yang; Hao Peng 001; Lihong Wang; Xiaolin Xu; Jianwei Liu 001; Hong Liu 006; Jie Xu 007; Lichao Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey on Deep Learning Event Extraction: Approaches and Applications. - Qian Li 033; Jianxin Li 002; Jiawei Sheng; Shiyao Cui; Jia Wu 001; Yiming Hei; Hao Peng 001; Shu Guo; Lihong Wang; Amin Beheshti; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2. - Hao Peng 001; Jian Yang 001; Jia Wu 001; Philip S. Yu (ACM Trans. Web, 2024)

Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. - Jiaqian Ren; Hao Peng 001; Lei Jiang 003; Zhiwei Liu 001; Jia Wu 001; Zhengtao Yu 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. - Yizhen Zheng; Ming Jin 005; Shirui Pan; Yuan-Fang Li; Hao Peng 001; Ming Li 065; Zhao Li 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Augmenting Low-Resource Cross-Lingual Summarization with Progression-Grounded Training and Prompting. - Jiushun Ma; Yuxin Huang 004; Linqin Wang; Xiang Huang; Hao Peng 001; Zhengtao Yu 001; Philip S. Yu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation. - Jiaqian Ren; Hao Peng 001; Lei Jiang 003; Zhifeng Hao; Jia Wu 001; Shengxiang Gao; Zhengtao Yu 001; Qiang Yang (ACM Trans. Knowl. Discov. Data, 2024)

Unsupervised Social Bot Detection via Structural Information Theory. - Hao Peng 001; Jingyun Zhang; Xiang Huang; Zhifeng Hao; Angsheng Li; Zhengtao Yu 001; Philip S. Yu (ACM Trans. Inf. Syst., 2024)

ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning. - Xuexiong Luo; Sheng Zhang 006; Jia Wu 001; Hongyang Chen; Hao Peng 001; Chuan Zhou 001; Zhao Li 007; Shan Xue 001; Jian Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. - Li Sun 008; Ziheng Zhang; Zixi Wang; Yujie Wang; Qiqi Wan; Hao Li; Hao Peng 001; Philip S. Yu (AAAI, 2025)

Structural Entropy Guided Probabilistic Coding. - Xiang Huang; Hao Peng 001; Li Sun 008; Hui Lin; Chunyang Liu; Jiang Cao; Philip S. Yu (AAAI, 2025)

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork. - Hui Wang; Renyu Yang; Jie Sun 035; Hao Peng 001; Xudong Mou; Tianyu Wo; Xudong Liu 001 (AAAI, 2025)

Prompt-based Unifying Inference Attack on Graph Neural Networks. - Yuecen Wei; Xingcheng Fu; Lingyun Liu; Qingyun Sun; Hao Peng 001; Chunming Hu (AAAI, 2025)

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. - Xiaoyan Yu; Yifan Wei 001; Shuaishuai Zhou; Zhiwei Yang; Li Sun 008; Hao Peng 001; Liehuang Zhu; Philip S. Yu (AAAI, 2025)

Multi-View Incongruity Learning for Multimodal Sarcasm Detection. - Diandian Guo; Cong Cao 001; Fangfang Yuan; Yanbing Liu; Guangjie Zeng; Xiaoyan Yu; Hao Peng 001; Philip S. Yu (COLING, 2025)

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. - Jiawen Qin; Haonan Yuan; Qingyun Sun; Lyujin Xu; Jiaqi Yuan; Pengfeng Huang; Zhaonan Wang 005; Xingcheng Fu; Hao Peng 001; Jianxin Li 002; Philip S. Yu (ICLR, 2025)

Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural Entropy. - Dingli Su; Hao Peng 001; Guangjie Zeng; Pu Li; Angsheng Li; Yicheng Pan 001 (SDM, 2025)

Hierarchical Superpixel Segmentation via Structural Information Theory. - Minhui Xie; Hao Peng 001; Pu Li; Guangjie Zeng; Shuhai Wang; Jia Wu 001; Peng Li; Philip S. Yu (SDM, 2025)

RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. - Li Sun 008; Zhenhao Huang 001; Suyang Zhou; Qiqi Wan; Hao Peng 001; Philip S. Yu (WWW, 2025)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. - Yuwei Cao; Liangwei Yang; Zhiwei Liu 001; Yuqing Liu 003; Chen Wang 052; Yueqing Liang; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

Community Detection in Large-Scale Complex Networks via Structural Entropy Game. - Yantuan Xian; Pu Li; Hao Peng 001; Zhengtao Yu 001; Yan Xiang; Philip S. Yu (WWW, 2025)

Training Large Recommendation Models via Graph-Language Tokens Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection. - Xiaoyan Yu; Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Zhifeng Hao; Li Sun 008; Kun Peng; Liehuang Zhu; Philip S. Yu (Neural Networks, 2025)

CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification. - Xiaoyan Yu; Neng Dong; Liehuang Zhu; Hao Peng 001; Dapeng Tao (IEEE Trans. Multim., 2025)

Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis. - Xiang Huang; Hao Peng 001; Shuo Sun; Zhifeng Hao; Hui Lin; Shuhai Wang (CoRR, 2025)

Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints. - Guangjie Zeng; Hao Peng 001; Angsheng Li; Jia Wu 001; Chunyang Liu; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Improving Generalization and Personalization in Model-Heterogeneous Federated Learning. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Yaohong Zhang; Xiaomin Zhu 001; Hao Peng 001; Xiang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Relational Prompt-Based Pre-Trained Language Models for Social Event Detection. - Pu Li; Xiaoyan Yu; Hao Peng 001; Yantuan Xian; Linqin Wang; Li Sun 008; Jingyun Zhang; Philip S. Yu (ACM Trans. Inf. Syst., 2025)

Process Reinforcement through Implicit Rewards. - Ganqu Cui; Lifan Yuan; Zefan Wang; Hanbin Wang; Wendi Li; Bingxiang He; Yuchen Fan; Tianyu Yu 002; Qixin Xu; Weize Chen; Jiarui Yuan; Huayu Chen; et al. (CoRR, 2025)

MIND: Microstructure INverse Design with Generative Hybrid Neural Representation. - Tianyang Xue; Haochen Li; Longdu Liu; Paul Henderson; Pengbin Tang; Lin Lu 001; Jikai Liu; Haisen Zhao; Hao Peng 001; Bernd Bickel (CoRR, 2025)

Training Large Recommendation Models via Graph-Language Token Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 018; Hao Peng 001; Philip S. Yu (CoRR, 2025)

State of the Art and Potentialities of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu Aggarwal 001; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (ACM Comput. Surv., 2025)

Hierarchical Abstracting Graph Kernel. - Runze Yang; Hao Peng 001; Angsheng Li; Peng Li; Chunyang Liu; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration. - Xuexiong Luo; Jia Wu 001; Jian Yang 001; Hongyang Chen; Zhao Li 007; Hao Peng 001; Chuan Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes. - Qi Wu 021; Yingguang Yang; Hao Liu; Hao Peng 001; Buyun He; Yutong Xia; Yong Liao (CoRR, 2025)

IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space. - Li Sun 008; Zhenhao Huang 001; Yujie Wang; Hongbo Lv; Chunyang Liu; Hao Peng 001; Philip S. Yu (CoRR, 2025)

SetKE: Knowledge Editing for Knowledge Elements Overlap. - Yifan Wei 001; Xiaoyan Yu; Ran Song 002; Hao Peng 001; Angsheng Li (CoRR, 2025)

Reinforced GNNs for Multiple Instance Learning. - Xusheng Zhao; Qiong Dai; Xu Bai; Jia Wu 001; Hao Peng 001; Huailiang Peng; Zhengtao Yu 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning. - Hao Peng 001; Xiang Huang; Shuo Sun; Ruitong Zhang; Philip S. Yu (CoRR, 2025)

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. - Kun Peng; Chaodong Tong; Cong Cao 001; Hao Peng 001; Qian Li 033; Guanlin Wu; Lei Jiang 003; Yanbing Liu; Philip S. Yu (CoRR, 2025)

Unsupervised Graph Clustering with Deep Structural Entropy. - Jingyun Zhang; Hao Peng 001; Li Sun 008; Guanlin Wu; Chunyang Liu; Zhengtao Yu 001 (CoRR, 2025)

Robustness Evaluation of Graph-based News Detection Using Network Structural Information. - Xianghua Zeng; Hao Peng 001; Angsheng Li (CoRR, 2025)

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models. - Ganqu Cui; Yuchen Zhang; Jiacheng Chen; Lifan Yuan; Zhi Wang; Yuxin Zuo; Haozhan Li; Yuchen Fan; Huayu Chen; Weize Chen; Zhiyuan Liu 001; Hao Peng 001; et al. (CoRR, 2025)

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation. - Yiming Wang 010; Hao Peng 001; Senzhang Wang; Haohua Du; Chunyang Liu; Jia Wu 001; Guanlin Wu (CoRR, 2025)

A Scalable Algorithm for Fair Influence Maximization With Unbiased Estimator. - Xiaobin Rui; Zhixiao Wang; Hao Peng 001; Wei Chen 013; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Activation-Guided Local Editing for Jailbreaking Attacks. - Jiecong Wang; Haoran Li 003; Hao Peng 001; Ziqian Zeng; Zihao Wang 001; Haohua Du; Zhengtao Yu 001 (CoRR, 2025)

Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. - Kun Peng; Cong Cao 001; Hao Peng 001; Zhifeng Hao; Lei Jiang 003; Kongjing Gu; Yanbing Liu; Philip S. Yu (CoRR, 2025)

Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. - Qitong Liu; Hao Peng 001; Xiang Huang; Zhifeng Hao; Qingyun Sun; Zhengtao Yu 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Introduction to the Special Issue on Knowledge Transferring for Recommender Systems. - Zhiwei Liu 001; Hao Peng 001; Caiming Xiong; Julian J. McAuley; Philip S. Yu (Trans. Recomm. Syst., 2025)