Hao Peng

407 papers A* 79A 35B 8Misc 1Journal 261Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive and Robust DBSCAN With Multi-Agent Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Peng, Xiang Huang, Shuo Sun, Ruitong Zhang, Xizhao Wang, Philip S. Yu
2026 A* conf
Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy.
WWW
Qitong Liu, Hao Peng, Zuchen Li, Xihang Meng, Ziyu Yang, Jiting Li, Li Sun, Philip S. Yu
2026 J jnl
Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy.
CoRR
Qitong Liu, Hao Peng, Zuchen Li, Xihang Meng, Ziyu Yang, Jiting Li, Li Sun, Philip S. Yu
2026 J jnl
Enhanced Pre-training for Recommendation via Hypergraph Structural Entropy.
ACM Trans. Inf. Syst.
Jingyun Zhang, Hao Peng, Mingdai Yang, Philip S. Yu
2026 J jnl
Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments.
IEEE Trans. Pattern Anal. Mach. Intell.
Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2026 A* conf
Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.
WWW
Li Sun, Ming Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026 J jnl
Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.
CoRR
Li Sun, Min Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026 A* conf
Hyperbolic Continuous Structural Entropy for Hierarchical Clustering.
AAAI
Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu
2026 A conf
Label-Free Contrastive Learning for Open-World Multimodal Social Event Detection.
WSDM
Zhiwei Yang, Haimei Qin, Hao Peng, Xiaoyan Yu, Li Sun, Lei Jiang
2026 J jnl
Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization.
CoRR
Jiecong Wang, Hao Peng, Chunyang Liu
2026 J jnl
Learning From Graph-Graph Relationship: A New Perspective on Graph-Level Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng, Pietro Lió
2026 J jnl
Learning Subgraph-Based Normality for Interpretable Graph-Level Anomaly Detection.
IEEE Trans. Inf. Forensics Secur.
Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang, Hao Peng, Xixun Lin
2026 A* conf
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection.
AAAI
Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu
2026 J jnl
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection.
CoRR
Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu
2026 — conf
Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective.
KDD (1)
Yuecen Wei, Liu Yang, Beining Yang, Qingyun Sun, Hao Peng, Tianyu Wo, Chunming Hu, Xingcheng Fu
2026 A* conf
MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues.
WWW
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
2026 J jnl
MuVaC: AVariational Causal Framework for Multimodal Sarcasm Understanding in Dialogues.
CoRR
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
2026 J jnl
Proactive Bot Detection Based on Structural Information Principles.
IEEE Trans. Pattern Anal. Mach. Intell.
Xianghua Zeng, Hao Peng, Angsheng Li
2026 A* conf
RPGen: Robust and Differentially Private Synthetic Image Generation.
AAAI
Zihao Wang, Hao Peng, Wei Dong, Yuecen Wei, Li Sun, Zhengtao Yu
2026 J jnl
Rethinking heterophilic graph learning via graph curvature.
Knowl. Based Syst.
Jian Wang, Xingcheng Fu, Qingyun Sun, Li-e Wang, Hao Peng, Jiting Li, Xianxian Li, Minglai Shao
2026 A* conf
Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning.
WWW
Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu
2026 J jnl
Self-Evolving Multi-Agent Framework for Efficient Decision Making in Real-Time Strategy Scenarios.
CoRR
Li Ma, Hao Peng, Yiming Wang, Hongbin Luo, Jie Liu, Kongjing Gu, Guanlin Wu, Hui Li, Lei Ren
2026 A* conf
Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection.
AAAI
Zhiwei Yang, Haimei Qin, Xiaoyan Yu, Hao Peng, Lei Jiang, Li Sun, Zhiqin Yang
2026 J jnl
Towards efficient optimization of multi-agent social simulation via large language models.
Int. J. Mach. Learn. Cybern.
Kun Zhang, Xiaoyan Yu, Hao Peng, Zhe Yang, Ye Tian, Hao Jin, Tuoyu Feng, Hui Lin
2025 J jnl
A Scalable Algorithm for Fair Influence Maximization With Unbiased Estimator.
IEEE Trans. Knowl. Data Eng.
Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu
2025 A* conf
A Survey of Structural Entropy: Theory, Methods, and Applications.
IJCAI
Dingli Su, Hao Peng, Yicheng Pan, Angsheng Li
2025 J jnl
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT.
Int. J. Mach. Learn. Cybern.
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
2025 J jnl
A recursive reinforced blockchain performance evaluation and improvement architecture: Maximising diversity to improve scalability.
Int. J. Commun. Syst.
Lin Liu, Wei-Tek Tsai, Mingsheng Liu, Ze Gao, Shumei Ji, Hao Peng, Zakirul Alam Bhuiyan
2025 J jnl
Activation-Guided Local Editing for Jailbreaking Attacks.
CoRR
Jiecong Wang, Haoran Li, Hao Peng, Ziqian Zeng, Zihao Wang, Haohua Du, Zhengtao Yu
2025 J jnl
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning.
CoRR
Hao Peng, Xiang Huang, Shuo Sun, Ruitong Zhang, Philip S. Yu
2025 J jnl
CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification.
IEEE Trans. Multim.
Xiaoyan Yu, Neng Dong, Liehuang Zhu, Hao Peng, Dapeng Tao
2025 A* conf
Community Detection in Large-Scale Complex Networks via Structural Entropy Game.
WWW
Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu
2025 J jnl
Community Detection in Large-Scale Complex Networks via Structural Entropy Game.
CoRR
Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu
2025 A conf
Counterfactual-Augmented Representation Learning based Event Prediction.
ICME
Cheng Hu, Fangfang Yuan, Cong Cao, Pu Li, Guangjie Zeng, Yanbing Liu, Hao Peng, Philip S. Yu
2025 A conf
Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning.
CIKM
Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025 J jnl
Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning.
CoRR
Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025 A conf
Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural Entropy.
SDM
Dingli Su, Hao Peng, Guangjie Zeng, Pu Li, Angsheng Li, Yicheng Pan
2025 A* conf
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation.
EMNLP
Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025 J jnl
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation.
CoRR
Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025 J jnl
Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments.
CoRR
Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025 A* conf
Free Process Rewards without Process Labels.
ICML
Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng
2025 J jnl
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones.
CoRR
Lifan Yuan, Weize Chen, Yuchen Zhang, Ganqu Cui, Hanbin Wang, Ziming You, Ning Ding, Zhiyuan Liu, Maosong Sun, Hao Peng
2025 J jnl
GSPR: Aligning LLM Safeguards as Generalizable Safety Policy Reasoners.
CoRR
Haoran Li, Yulin Chen, Jingru Zeng, Hao Peng, Huihao Jing, Wenbin Hu, Xi Yang, Ziqian Zeng, Sirui Han, Yangqiu Song
2025 — conf
Global Interpretable Graph-level Anomaly Detection via Prototype.
KDD (2)
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng
2025 — conf
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.
WWW (Companion Volume)
Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2025 J jnl
Hierarchical Abstracting Graph Kernel.
IEEE Trans. Knowl. Data Eng.
Runze Yang, Hao Peng, Angsheng Li, Peng Li, Chunyang Liu, Philip S. Yu
2025 J jnl
Hierarchical Decision Making Based on Structural Information Principles.
J. Mach. Learn. Res.
Xianghua Zeng, Hao Peng, Dingli Su, Angsheng Li
2025 A conf
Hierarchical Superpixel Segmentation via Structural Information Theory.
SDM
Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu
2025 J jnl
Hierarchical Superpixel Segmentation via Structural Information Theory.
CoRR
Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu
2025 J jnl
Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing.
IEEE Trans. Knowl. Data Eng.
Qitong Liu, Hao Peng, Xiang Huang, Zhifeng Hao, Qingyun Sun, Zhengtao Yu, Philip S. Yu
2025 J jnl
Hyperbolic Continuous Structural Entropy for Hierarchical Clustering.
CoRR
Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu
2025 A conf
Hyperbolic Prompt Learning for Incremental Event Detection with LLMs.
CIKM
Xiujin Zhang, Wenxin Jin, Haotian Hong, Pengfei Zhang, Jiting Li, Kongjing Gu, Hao Peng, Li Sun
2025 A* conf
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning.
ICLR
Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025 A* conf
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork.
AAAI
Hui Wang, Renyu Yang, Jie Sun, Hao Peng, Xudong Mou, Tianyu Wo, Xudong Liu
2025 J jnl
Improving Generalization and Personalization in Model-Heterogeneous Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiongtao Zhang, Ji Wang, Weidong Bao, Yaohong Zhang, Xiaomin Zhu, Hao Peng, Xiang Zhao
2025 J jnl
Introduction to the Special Issue on Knowledge Transferring for Recommender Systems.
Trans. Recomm. Syst.
Zhiwei Liu, Hao Peng, Caiming Xiong, Julian J. McAuley, Philip S. Yu
2025 J jnl
IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space.
CoRR
Li Sun, Zhenhao Huang, Yujie Wang, Hongbo Lv, Chunyang Liu, Hao Peng, Philip S. Yu
2025 J jnl
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration.
IEEE Trans. Neural Networks Learn. Syst.
Xuexiong Luo, Jia Wu, Jian Yang, Hongyang Chen, Zhao Li, Hao Peng, Chuan Zhou
2025 J jnl
Knowledge fusion guided pre-training non-intrusive load sparse sample recognition.
Int. J. Mach. Learn. Cybern.
Yanmei Jiang, Lin Liu, Mingsheng Liu, Hao Peng, Jianhua Li, Shiyuan Yu, Xiong Li
2025 — conf
MIND: Microstructure INverse Design with Generative Hybrid Neural Representation.
SIGGRAPH (Conference Paper Track)
Tianyang Xue, Longdu Liu, Lin Lu, Paul Henderson, Pengbin Tang, Haochen Li, Jikai Liu, Haisen Zhao, Hao Peng, Bernd Bickel
2025 J jnl
MIND: Microstructure INverse Design with Generative Hybrid Neural Representation.
CoRR
Tianyang Xue, Haochen Li, Longdu Liu, Paul Henderson, Pengbin Tang, Lin Lu, Jikai Liu, Haisen Zhao, Hao Peng, Bernd Bickel
2025 J jnl
Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis.
CoRR
Xiang Huang, Hao Peng, Shuo Sun, Zhifeng Hao, Hui Lin, Shuhai Wang
2025 B conf
Multi-View Incongruity Learning for Multimodal Sarcasm Detection.
COLING
Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu
2025 — conf
Multi-view Attention Syntactic Enhanced Graph Convolutional Network for Aspect-Based Sentiment Analysis.
DASFAA (2)
Xiang Huang, Hao Peng, Shuo Sun, Zhifeng Hao, Hui Lin, Shuhai Wang
2025 A* conf
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics.
AAAI
Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu
2025 J jnl
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics.
CoRR
Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu
2025 J jnl
Process Reinforcement through Implicit Rewards.
CoRR
Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding
2025 A* conf
Prompt-based Unifying Inference Attack on Graph Neural Networks.
AAAI
Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu
2025 J jnl
PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection.
Neural Networks
Xiaoyan Yu, Jiaqian Ren, Lei Jiang, Hao Peng, Zhifeng Hao, Li Sun, Kun Peng, Liehuang Zhu, Philip S. Yu
2025 J jnl
Reinforced GNNs for Multiple Instance Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xusheng Zhao, Qiong Dai, Xu Bai, Jia Wu, Hao Peng, Huailiang Peng, Zhengtao Yu, Philip S. Yu
2025 J jnl
Relational Prompt-Based Pre-Trained Language Models for Social Event Detection.
ACM Trans. Inf. Syst.
Pu Li, Xiaoyan Yu, Hao Peng, Yantuan Xian, Linqin Wang, Li Sun, Jingyun Zhang, Philip S. Yu
2025 A* conf
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.
WWW
Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu
2025 J jnl
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.
CoRR
Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu
2025 J jnl
RoBCtrl: Attacking GNN-Based Social Bot Detectors via Reinforced Manipulation of Bots Control Interaction.
CoRR
Yingguang Yang, Xianghua Zeng, Qi Wu, Hao Peng, Yutong Xia, Hao Liu, Bin Chong, Philip S. Yu
2025 — conf
Robustness Evaluation of Graph-based News Detection Using Network Structural Information.
KDD (2)
Xianghua Zeng, Hao Peng, Angsheng Li
2025 J jnl
Robustness Evaluation of Graph-based News Detection Using Network Structural Information.
CoRR
Xianghua Zeng, Hao Peng, Angsheng Li
2025 A* conf
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation.
IJCAI
Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu
2025 J jnl
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation.
CoRR
Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu
2025 J jnl
Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints.
IEEE Trans. Knowl. Data Eng.
Guangjie Zeng, Hao Peng, Angsheng Li, Jia Wu, Chunyang Liu, Philip S. Yu
2025 J jnl
SeSE: A Structural Information-Guided Uncertainty Quantification Framework for Hallucination Detection in LLMs.
CoRR
Xingtao Zhao, Hao Peng, Dingli Su, Xianghua Zeng, Chunyang Liu, Jinzhi Liao, Philip S. Yu
2025 A* conf
SetKE: Knowledge Editing for Knowledge Elements Overlap.
IJCAI
Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li
2025 J jnl
SetKE: Knowledge Editing for Knowledge Elements Overlap.
CoRR
Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li
2025 — conf
SocialED: A Python Library for Social Event Detection.
APWeb-WAIM (4)
Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu
2025 J jnl
State of the Art and Potentialities of Graph-level Learning.
ACM Comput. Surv.
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2025 A* conf
Structural Entropy Guided Probabilistic Coding.
AAAI
Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu
2025 J jnl
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning.
CoRR
Xianghua Zeng, Hao Peng, Angsheng Li, Yicheng Pan
2025 A* conf
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction.
IJCAI
Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu
2025 J jnl
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction.
CoRR
Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu
2025 J jnl
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.
CoRR
Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding
2025 A* conf
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space.
AAAI
Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu
2025 J jnl
Training Large Recommendation Models via Graph-Language Token Alignment.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2025 — conf
Training Large Recommendation Models via Graph-Language Tokens Alignment.
WWW (Companion Volume)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2025 — conf
Unsupervised Graph Clustering with Deep Structural Entropy.
KDD (2)
Jingyun Zhang, Hao Peng, Li Sun, Guanlin Wu, Chunyang Liu, Zhengtao Yu
2025 J jnl
Unsupervised Graph Clustering with Deep Structural Entropy.
CoRR
Jingyun Zhang, Hao Peng, Li Sun, Guanlin Wu, Chunyang Liu, Zhengtao Yu
2024 J jnl
A Comprehensive Survey on Automatic Knowledge Graph Construction.
ACM Comput. Surv.
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu
2024 A conf
A Mixed-Curvature Graph Diffusion Model.
CIKM
Yujie Wang, Shuo Zhang, Junda Ye, Hao Peng, Li Sun
2024 A conf
A Structural Information Guided Hierarchical Reconstruction for Graph Anomaly Detection.
CIKM
Dongcheng Zou, Hao Peng, Chunyang Liu
2024 J jnl
A Survey on Deep Learning Event Extraction: Approaches and Applications.
IEEE Trans. Neural Networks Learn. Syst.
Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu
2024 A conf
Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection.
CIKM
Zhiwei Yang, Yuecen Wei, Haoran Li, Qian Li, Lei Jiang, Li Sun, Xiaoyan Yu, Chunming Hu, Hao Peng
2024 J jnl
Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection.
CoRR
Zhiwei Yang, Yuecen Wei, Haoran Li, Qian Li, Lei Jiang, Li Sun, Xiaoyan Yu, Chunming Hu, Hao Peng
2024 J jnl
Advancing LLM Reasoning Generalists with Preference Trees.
CoRR
Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun
2024 A* conf
Adversarial Socialbots Modeling Based on Structural Information Principles.
AAAI
Xianghua Zeng, Hao Peng, Angsheng Li
2024 J jnl
Augmenting Low-Resource Cross-Lingual Summarization with Progression-Grounded Training and Prompting.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Jiushun Ma, Yuxin Huang, Linqin Wang, Xiang Huang, Hao Peng, Zhengtao Yu, Philip S. Yu
2024 J jnl
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.
CoRR
Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou
2024 J jnl
CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification.
CoRR
Xiaoyan Yu, Neng Dong, Liehuang Zhu, Hao Peng, Dapeng Tao
2024 J jnl
CoSENT: Consistent Sentence Embedding via Similarity Ranking.
IEEE ACM Trans. Audio Speech Lang. Process.
Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu
2024 A conf
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism.
CIKM
Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu
2024 J jnl
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism.
CoRR
Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu
2024 J jnl
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.
CoRR
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2024 A* conf
Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.
IJCAI
Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou
2024 A* conf
Effective Exploration Based on the Structural Information Principles.
NeurIPS
Xianghua Zeng, Hao Peng, Angsheng Li
2024 J jnl
Effective Exploration Based on the Structural Information Principles.
CoRR
Xianghua Zeng, Hao Peng, Angsheng Li
2024 J jnl
Effective Reinforcement Learning Based on Structural Information Principles.
CoRR
Xianghua Zeng, Hao Peng, Dingli Su, Angsheng Li
2024 J jnl
Free Process Rewards without Process Labels.
CoRR
Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kai Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng
2024 A* conf
GC-Bench: An Open and Unified Benchmark for Graph Condensation.
NeurIPS
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024 J jnl
GC-Bench: An Open and Unified Benchmark for Graph Condensation.
CoRR
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024 J jnl
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.
CoRR
Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2024 J jnl
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks.
IEEE Trans. Neural Networks Learn. Syst.
Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun
2024 A* conf
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.
AAAI
Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
2024 A* conf
Hyperbolic Geometric Latent Diffusion Model for Graph Generation.
ICML
Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024 J jnl
Hyperbolic Geometric Latent Diffusion Model for Graph Generation.
CoRR
Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024 J jnl
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning.
CoRR
Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2024 J jnl
Incremental measurement of structural entropy for dynamic graphs.
Artif. Intell.
Runze Yang, Hao Peng, Chunyang Liu, Angsheng Li
2024 A* conf
Instruction-based Hypergraph Pretraining.
SIGIR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024 J jnl
Instruction-based Hypergraph Pretraining.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024 J jnl
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2.
ACM Trans. Web
Hao Peng, Jian Yang, Jia Wu, Philip S. Yu
2024 J jnl
Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems.
Int. J. Mach. Learn. Cybern.
Hao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu
2024 A conf
Knowledge Graph Context-Enhanced Diversified Recommendation.
WSDM
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2024 A* conf
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.
ICML
Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
2024 J jnl
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.
CoRR
Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
2024 A* conf
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning.
AAAI
Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
2024 J jnl
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning.
CoRR
Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
2024 A conf
Multi-Relational Structural Entropy.
UAI
Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024 J jnl
Multi-Relational Structural Entropy.
CoRR
Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024 J jnl
Multi-View Incongruity Learning for Multimodal Sarcasm Detection.
CoRR
Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu
2024 A conf
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization.
WSDM
Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang
2024 A conf
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis.
CIKM
Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng
2024 J jnl
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis.
CoRR
Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng
2024 A* conf
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent.
EMNLP
Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu
2024 J jnl
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent.
CoRR
Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu
2024 A* conf
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.
AAAI
Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
2024 A conf
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction.
SDM
Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
2024 J jnl
Prompt-based Unifying Inference Attack on Graph Neural Networks.
CoRR
Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu
2024 J jnl
PyGOD: A Python Library for Graph Outlier Detection.
J. Mach. Learn. Res.
Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu
2024 A* conf
R-ODE: Ricci Curvature Tells When You Will be Informed.
SIGIR
Li Sun, Jingbin Hu, Mengjie Li, Hao Peng
2024 J jnl
R-ODE: Ricci Curvature Tells When You Will be Informed.
CoRR
Li Sun, Jingbin Hu, Mengjie Li, Hao Peng
2024 A conf
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
WSDM
Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
2024 A* conf
ReGCL: Rethinking Message Passing in Graph Contrastive Learning.
AAAI
Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
2024 J jnl
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning.
IEEE Trans. Knowl. Data Eng.
Xuexiong Luo, Sheng Zhang, Jia Wu, Hongyang Chen, Hao Peng, Chuan Zhou, Zhao Li, Shan Xue, Jian Yang
2024 J jnl
Relational Prompt-based Pre-trained Language Models for Social Event Detection.
CoRR
Pu Li, Xiaoyan Yu, Hao Peng, Yantuan Xian, Linqin Wang, Li Sun, Jingyun Zhang, Philip S. Yu
2024 A* conf
RicciNet: Deep Clustering via A Riemannian Generative Model.
WWW
Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2024 A* conf
SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection.
KDD
Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao
2024 J jnl
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection.
CoRR
Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao
2024 A conf
Semi-Supervised Clustering via Structural Entropy with Different Constraints.
SDM
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He
2024 J jnl
SocialED: A Python Library for Social Event Detection.
CoRR
Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu
2024 A* conf
Spiking Graph Neural Network on Riemannian Manifolds.
NeurIPS
Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu
2024 J jnl
Spiking Graph Neural Network on Riemannian Manifolds.
CoRR
Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu
2024 J jnl
Structural Entropy Guided Probabilistic Coding.
CoRR
Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu
2024 J jnl
Structural graph federated learning: Exploiting high-dimensional information of statistical heterogeneity.
Knowl. Based Syst.
Xiongtao Zhang, Ji Wang, Weidong Bao, Hao Peng, Yaohong Zhang, Xiaomin Zhu
2024 A conf
Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction.
CIKM
Kun Peng, Lei Jiang, Qian Li, Haoran Li, Xiaoyan Yu, Li Sun, Shuo Sun, Yanxian Bi, Hao Peng
2024 J jnl
Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction.
CoRR
Kun Peng, Lei Jiang, Qian Li, Haoran Li, Xiaoyan Yu, Li Sun, Shuo Sun, Yanxian Bi, Hao Peng
2024 J jnl
Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation.
ACM Trans. Knowl. Discov. Data
Jiaqian Ren, Hao Peng, Lei Jiang, Zhifeng Hao, Jia Wu, Shengxiang Gao, Zhengtao Yu, Qiang Yang
2024 J jnl
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming.
IEEE Trans. Neural Networks Learn. Syst.
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
2024 J jnl
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space.
CoRR
Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu
2024 J jnl
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.
Neural Networks
Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu
2024 J jnl
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection.
IEEE Trans. Knowl. Data Eng.
Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
2024 A conf
Unified Pretraining for Recommendation via Task Hypergraphs.
WSDM
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024 J jnl
Unsupervised Social Bot Detection via Structural Information Theory.
CoRR
Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
2024 J jnl
Unsupervised Social Bot Detection via Structural Information Theory.
ACM Trans. Inf. Syst.
Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
2024 J jnl
WDEA: The Structure and Semantic Fusion With Wasserstein Distance for Low-Resource Language Entity Alignment.
IEEE ACM Trans. Audio Speech Lang. Process.
Ran Song, Xiang Huang, Hao Peng, Shengxiang Gao, Zhengtao Yu, Philip S. Yu
2024 J jnl
Zero-Shot Text Normalization via Cross-Lingual Knowledge Distillation.
IEEE ACM Trans. Audio Speech Lang. Process.
Linqin Wang, Xiang Huang, Zhengtao Yu, Hao Peng, Shengxiang Gao, Cunli Mao, Yuxin Huang, Ling Dong, Philip S. Yu
2023 J jnl
A Comprehensive Survey of Graph-level Learning.
CoRR
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2023 J jnl
A Comprehensive Survey on Automatic Knowledge Graph Construction.
CoRR
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu
2023 J jnl
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR
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
2023 Misc conf
A Perspective Survey on Industrial Knowledge Graphs: Recent Advances, Open Challenges, and Future Directions.
ICMLC
Yuhu Shang, Yimeng Ren, Hao Peng, Yue Wang, Gang Wang, Zhong Cheng Li, Yangzhao Yang, Yangyang Li
2023 J jnl
A Robust and Generalized Framework for Adversarial Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
2023 J jnl
Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu
2023 J jnl
Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst.
Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
2023 J jnl
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing.
CoRR
Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023 J jnl
Adversarial Socialbots Modeling Based on Structural Information Principles.
CoRR
Xianghua Zeng, Hao Peng, Angsheng Li
2023 A* conf
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.
IJCAI
Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
2023 — conf
Content Style-triggered Backdoor Attack in Non-IID Federated Learning via Generative AI.
ISPA/BDCloud/SocialCom/SustainCom
Jinke Cheng, Gaolei Li, Xi Lin, Hao Peng, Jianhua Li
2023 J jnl
Contrastive Graph Clustering in Curvature Spaces.
CoRR
Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
2023 A* conf
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.
ICDM
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2023 J jnl
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu
2023 A* conf
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles.
AAAI
Xianghua Zeng, Hao Peng, Angsheng Li
2023 J jnl
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles.
CoRR
Xianghua Zeng, Hao Peng, Angsheng Li
2023 A* conf
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.
NeurIPS
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023 J jnl
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.
CoRR
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023 J jnl
Event Extraction by Associating Event Types and Argument Roles.
IEEE Trans. Big Data
Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang
2023 A* conf
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection.
WWW
Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou
2023 J jnl
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection.
CoRR
Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou
2023 A* conf
Graph Collaborative Signals Denoising and Augmentation for Recommendation.
SIGIR
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023 J jnl
Graph Collaborative Signals Denoising and Augmentation for Recommendation.
CoRR
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023 A conf
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.
CIKM
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023 J jnl
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023 J jnl
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications.
IEEE Trans. Knowl. Data Eng.
Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu
2023 J jnl
Heterogeneous graph neural network with semantic-aware differential privacy guarantees.
Knowl. Inf. Syst.
Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2023 J jnl
Hierarchical State Abstraction Based on Structural Information Principles.
CoRR
Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
2023 A* conf
Hierarchical State Abstraction based on Structural Information Principles.
IJCAI
Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
2023 J jnl
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.
CoRR
Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
2023 J jnl
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2023 A* conf
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.
WWW
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023 J jnl
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.
CoRR
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023 J jnl
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1.
ACM Trans. Web
Hao Peng, Jian Yang, Jia Wu, Philip S. Yu
2023 B conf
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction.
IEEE Big Data
Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu
2023 J jnl
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction.
CoRR
Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu
2023 J jnl
Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments.
IEEE Trans. Serv. Comput.
Zhenyu Wen, Renyu Yang, Bin Qian, Yubo Xuan, Lingling Lu, Zheng Wang, Hao Peng, Jie Xu, Albert Y. Zomaya, Rajiv Ranjan
2023 J jnl
Knowledge Graph Context-Enhanced Diversified Recommendation.
CoRR
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2023 J jnl
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
IEEE Trans. Knowl. Data Eng.
Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He
2023 A conf
Minimum Entropy Principle Guided Graph Neural Networks.
WSDM
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su
2023 J jnl
Monitoring industrial control systems via spatio-temporal graph neural networks.
Eng. Appl. Artif. Intell.
Yue Wang, Hao Peng, Gang Wang, Xianghong Tang, Xuejian Wang, Chunyang Liu
2023 J jnl
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng.
Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu
2023 — conf
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction.
BIBM
Xusheng Zhao, Hao Liu, Qiong Dai, Hao Peng, Xu Bai, Huailiang Peng
2023 J jnl
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction.
CoRR
Xusheng Zhao, Hao Liu, Qiong Dai, Hao Peng, Xu Bai, Huailiang Peng
2023 A conf
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
RecSys
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023 J jnl
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
CoRR
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023 J jnl
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization.
CoRR
Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang
2023 A* conf
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.
WWW
Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023 J jnl
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.
CoRR
Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023 J jnl
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.
CoRR
Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
2023 J jnl
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction.
CoRR
Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
2023 J jnl
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
CoRR
Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
2023 A conf
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.
WSDM
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023 J jnl
Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu
2023 A conf
Reinforcement Learning Guided Multi-Objective Exam Paper Generation.
SDM
Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang
2023 J jnl
Reinforcement Learning Guided Multi-Objective Exam Paper Generation.
CoRR
Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang
2023 A* conf
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.
WWW
Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023 J jnl
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.
CoRR
Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023 A* conf
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information.
AAAI
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023 A* conf
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.
AAAI
Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
2023 J jnl
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information.
CoRR
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023 J jnl
Semi-Supervised Clustering via Structural Entropy with Different Constraints.
CoRR
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He
2023 J jnl
Semi-Supervised EEG Clustering With Multiple Constraints.
IEEE Trans. Knowl. Data Eng.
Chenglong Dai, Jia Wu, Jessica J. M. Monaghan, Guanghui Li, Hao Peng, Stefanie I. Becker, David McAlpine
2023 A conf
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
WSDM
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023 J jnl
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
CoRR
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023 J jnl
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection.
CoRR
Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
2023 J jnl
Unified Pretraining for Recommendation via Task Hypergraphs.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023 A* conf
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs.
ICDM
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
2023 J jnl
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs.
CoRR
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
2022 A* conf
A Self-Supervised Mixed-Curvature Graph Neural Network.
AAAI
Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2022 A conf
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.
CIKM
Li Sun, Junda Ye, Hao Peng, Philip S. Yu
2022 J jnl
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.
CoRR
Li Sun, Junda Ye, Hao Peng, Philip S. Yu
2022 J jnl
A Survey on Text Classification: From Traditional to Deep Learning.
ACM Trans. Intell. Syst. Technol.
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2022 J jnl
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks.
IEEE ACM Trans. Audio Speech Lang. Process.
Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu
2022 A conf
Automating DBSCAN via Deep Reinforcement Learning.
CIKM
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
2022 J jnl
Automating DBSCAN via Deep Reinforcement Learning.
CoRR
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu
2022 A* conf
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
NeurIPS
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022 J jnl
Benchmarking Node Outlier Detection on Graphs.
CoRR
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022 J jnl
Blockchain-enabled fraud discovery through abnormal smart contract detection on Ethereum.
Future Gener. Comput. Syst.
Lin Liu, Wei-Tek Tsai, Md. Zakirul Alam Bhuiyan, Hao Peng, Mingsheng Liu
2022 A conf
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
CIKM
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022 J jnl
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
CoRR
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022 J jnl
Cross-knowledge-graph entity alignment via relation prediction.
Knowl. Based Syst.
Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li
2022 A* conf
Curvature Graph Generative Adversarial Networks.
WWW
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022 J jnl
Curvature Graph Generative Adversarial Networks.
CoRR
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022 A* conf
DAGAD: Data Augmentation for Graph Anomaly Detection.
ICDM
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
DAGAD: Data Augmentation for Graph Anomaly Detection.
CoRR
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
DH-Net: Deformed Microstructure Homogenization via 3D Convolutional Neural Networks.
CoRR
Hao Peng, An Liu, Jingcheng Huang, Jikai Liu, Lin Lu
2022 J jnl
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis.
CoRR
Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
2022 J jnl
Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks
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
2022 A* conf
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.
NeurIPS
Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
2022 J jnl
Dynamic Measurement of Structural Entropy for Dynamic Graphs.
CoRR
Runze Yang, Hao Peng, Angsheng Li
2022 A conf
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
ICWS
Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022 J jnl
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
CoRR
Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022 J jnl
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process.
Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang
2022 J jnl
Federated Multi-view Learning for Private Medical Data Integration and Analysis.
ACM Trans. Intell. Syst. Technol.
Sicong Che, Zhaoming Kong, Hao Peng, Lichao Sun, Alex D. Leow, Yong Chen, Lifang He
2022 J jnl
Federated Social Recommendation with Graph Neural Network.
ACM Trans. Intell. Syst. Technol.
Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
2022 B conf
Feedforward Neural Network Reconstructed from High-order Quantum Systems.
IJCNN
Junwei Zhang, Zhao Li, Hao Peng, Ming Li, Xiaofen Wang
2022 A conf
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.
CIKM
Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022 J jnl
From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection.
CoRR
Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022 A* conf
Graph Structure Learning with Variational Information Bottleneck.
AAAI
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022 J jnl
Graph-level Neural Networks: Current Progress and Future Directions.
CoRR
Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal
2022 A* conf
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.
ICDM
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022 J jnl
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.
CoRR
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022 A* conf
HiGIL: Hierarchical Graph Inference Learning for Fact Checking.
ICDM
Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang
2022 J jnl
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng.
Yali Gao, Xiaoyong Li, Hao Peng, Binxing Fang, Philip S. Yu
2022 J jnl
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.
ACM Trans. Intell. Syst. Technol.
Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
2022 J jnl
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.
IEEE Trans. Neural Networks Learn. Syst.
Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He
2022 J jnl
Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks.
IEEE Trans. Computers
Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, Lifang He, Philip S. Yu, Albert Y. Zomaya, Rajiv Ranjan
2022 A* conf
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.
SIGIR
Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang
2022 A conf
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.
CIKM
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022 J jnl
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.
CoRR
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022 J jnl
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2.
ACM Trans. Intell. Syst. Technol.
Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
2022 J jnl
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data.
IEEE Trans. Ind. Informatics
Xiaohang Xu, Hao Peng, Md. Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He
2022 J jnl
PyGOD: A Python Library for Graph Outlier Detection.
CoRR
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu
2022 J jnl
QoS-Aware Co-Scheduling for Distributed Long-Running Applications on Shared Clusters.
IEEE Trans. Parallel Distributed Syst.
Jianyong Zhu, Renyu Yang, Xiaoyang Sun, Tianyu Wo, Chunming Hu, Hao Peng, Junqing Xiao, Albert Y. Zomaya, Jie Xu
2022 J jnl
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2022 J jnl
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks.
ACM Trans. Inf. Syst.
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
2022 J jnl
Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations.
IEEE ACM Trans. Audio Speech Lang. Process.
Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2022 J jnl
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.
CoRR
Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
2022 A* conf
Sequential Recommendation via Stochastic Self-Attention.
WWW
Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022 J jnl
Sequential Recommendation via Stochastic Self-Attention.
CoRR
Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022 B conf
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
IEEE Big Data
Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2022 J jnl
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
CoRR
Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2022 — conf
Structure-Preserving Graph Kernel for Brain Network Classification.
ISBI
Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He
2022 A* conf
Towards Unsupervised Deep Graph Structure Learning.
WWW
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2022 J jnl
Towards Unsupervised Deep Graph Structure Learning.
CoRR
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2022 J jnl
What happens next? Combining enhanced multilevel script learning and dual fusion strategies for script event prediction.
Int. J. Intell. Syst.
Pengpeng Zhou, Bin Wu, Caiyong Wang, Hao Peng, Juwei Yue, Song Xiao
2022 — conf
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
NAACL-HLT (Findings)
Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alejandro Jaimes, Hao Peng, Philip S. Yu
2022 J jnl
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
CoRR
Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alex Jaimes, Hao Peng, Philip S. Yu
2021 J jnl
A Robust and Generalized Framework for Adversarial Graph Embedding.
CoRR
Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
2021 J jnl
A Self-supervised Mixed-curvature Graph Neural Network.
CoRR
Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2021 J jnl
A reliable deep learning-based algorithm design for IoT load identification in smart grid.
Ad Hoc Networks
Yanmei Jiang, Mingsheng Liu, Hao Peng, Md. Zakirul Alam Bhuiyan
2021 A* conf
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
ICDM
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021 J jnl
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
CoRR
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021 A* conf
Adversarial Directed Graph Embedding.
AAAI
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
2021 J jnl
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation.
CoRR
Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu
2021 J jnl
Automated Timeline Length Selection for Flexible Timeline Summarization.
CoRR
Xi Li, Qianren Mao, Hao Peng, Hongdong Zhu, Jianxin Li, Zheng Wang
2021 J jnl
Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning.
Comput. Secur.
Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun
2021 J jnl
Constrained stacking in DLP 3D printing.
Comput. Graph.
Lingxin Cao, Lihao Tian, Hao Peng, Yu Zhou, Lin Lu
2021 J jnl
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.
CoRR
Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu
2021 A conf
Differentially Private Federated Knowledge Graphs Embedding.
CIKM
Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li
2021 J jnl
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning.
Inf. Sci.
Hao Peng, Bowen Du, Mingsheng Liu, Mingzhe Liu, Shumei Ji, Senzhang Wang, Xu Zhang, Lifang He
2021 J jnl
Event prediction based on evolutionary event ontology knowledge.
Future Gener. Comput. Syst.
Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang
2021 J jnl
Federated Depression Detection from Multi-SourceMobile Health Data.
CoRR
Xiaohang Xu, Hao Peng, Lichao Sun, Yan Niu, Hongyuan Ma, Lianzhong Liu, Lifang He
2021 J jnl
Federated Knowledge Graphs Embedding.
CoRR
Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li
2021 J jnl
Federated Multi-View Learning for Private Medical Data Integration and Analysis.
CoRR
Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He
2021 J jnl
Federated Social Recommendation with Graph Neural Network.
CoRR
Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
2021 A* conf
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.
IJCAI
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021 J jnl
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.
CoRR
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021 J jnl
Graph Structure Learning with Variational Information Bottleneck.
CoRR
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2021 A conf
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.
CIKM
Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun
2021 J jnl
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks.
CoRR
Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun
2021 — conf
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.
NAACL-HLT
Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021 J jnl
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.
CoRR
Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021 J jnl
Heterogeneous Similarity Graph Neural Network on Electronic Health Records.
CoRR
Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
2021 J jnl
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng.
Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He
2021 J jnl
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
CoRR
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2021 A* conf
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.
AAAI
Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
2021 J jnl
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.
CoRR
Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
2021 A* conf
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.
AAAI
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2021 — conf
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph.
DASFAA (1)
Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen
2021 J jnl
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph.
CoRR
Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen
2021 A* conf
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
WWW
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021 J jnl
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
CoRR
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021 J jnl
Learning graph attention-aware knowledge graph embedding.
Neurocomputing
Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li
2021 J jnl
Mechanical property profiles of microstructures via asymptotic homogenization.
Comput. Graph.
Peiqing Liu, An Liu, Hao Peng, Lihao Tian, Jikai Liu, Lin Lu
2021 J jnl
Multiplex Graph Networks for Multimodal Brain Network Analysis.
CoRR
Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He
2021 J jnl
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling.
ACM Trans. Intell. Syst. Technol.
Haoyi Zhou, Hao Peng, Jieqi Peng, Shuai Zhang, Jianxin Li
2021 J jnl
Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning.
Knowl. Based Syst.
Jun Zhao, Minglai Shao, Hao Peng, Hong Wang, Bo Li, Xudong Liu
2021 — conf
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.
IEEE BigData
Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021 J jnl
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.
CoRR
Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021 J jnl
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
J. Artif. Intell. Res.
Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng
2021 J jnl
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks.
CoRR
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
2021 J jnl
Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations.
CoRR
Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2021 A* conf
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
WWW
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021 J jnl
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
CoRR
Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021 J jnl
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks.
CoRR
Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
2021 J jnl
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data
Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
2021 J jnl
Structure-Preserving Graph Kernel for Brain Network Classification.
CoRR
Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He
2021 A* conf
TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation.
IJCAI
Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang
2021 J jnl
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming.
CoRR
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
2020 J jnl
A Survey on Text Classification: From Shallow to Deep Learning.
CoRR
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2020 J jnl
Adversarial Directed Graph Embedding.
CoRR
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
2020 A* conf
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.
SIGIR
Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020 J jnl
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.
CoRR
Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020 A* conf
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
SIGIR
Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020 J jnl
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
CoRR
Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020 J jnl
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction.
IEEE Trans. Intell. Transp. Syst.
Bowen Du, Hao Peng, Senzhang Wang, Md. Zakirul Alam Bhuiyan, Lihong Wang, Qiran Gong, Lin Liu, Jing Li
2020 J jnl
Dynamic network embedding via incremental skip-gram with negative sampling.
Sci. China Inf. Sci.
Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren
2020 A conf
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
CIKM
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020 J jnl
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
CoRR
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020 J jnl
Event detection and evolution in multi-lingual social streams.
Frontiers Comput. Sci.
Yaopeng Liu, Hao Peng, Jianxin Li, Yangqiu Song, Xiong Li
2020 J jnl
Fabricable Unobtrusive 3D-QR-Codes with Directional Light.
Comput. Graph. Forum
Hao Peng, Peiqing Liu, Lin Lu, Andrei Sharf, Lin Liu, Dani Lischinski, Baoquan Chen
2020 J jnl
Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework.
CoRR
Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu
2020 — conf
Heterogeneous Similarity Graph Neural Network on Electronic Health Records.
IEEE BigData
Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
2020 B conf
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.
COLING
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020 J jnl
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.
CoRR
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020 J jnl
Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment.
IEEE Access
Jibing Gong, Yi Zhao, Shuai Chen, Hongfei Wang, Linfeng Du, Shuli Wang, Md. Zakirul Alam Bhuiyan, Hao Peng, Bowen Du
2020 J jnl
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.
CoRR
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2020 J jnl
LSTM variants meet graph neural networks for road speed prediction.
Neurocomputing
Zhilong Lu, Weifeng Lv, Yabin Cao, Zhipu Xie, Hao Peng, Bowen Du
2020 J jnl
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
CoRR
Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He
2020 — conf
Low-shot Learning in Natural Language Processing.
CogMI
Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu
2020 J jnl
Modeling relation paths for knowledge base completion via joint adversarial training.
Knowl. Based Syst.
Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang
2020 A* conf
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification.
AAAI
Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He
2020 J jnl
Multi-attributed heterogeneous graph convolutional network for bot detection.
Inf. Sci.
Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng
2020 — conf
Multi-information Source HIN for Medical Concept Embedding.
PAKDD (2)
Yuwei Cao, Hao Peng, Philip S. Yu
2020 A* conf
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
ICDM
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020 J jnl
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
CoRR
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020 J jnl
Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters.
IEEE Trans. Parallel Distributed Syst.
Renyu Yang, Chunming Hu, Xiaoyang Sun, Peter Garraghan, Tianyu Wo, Zhenyu Wen, Hao Peng, Jie Xu, Chao Li
2020 J jnl
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction.
ACM Trans. Spatial Algorithms Syst.
Senzhang Wang, Jiannong Cao, Hao Chen, Hao Peng, Zhiqiu Huang
2020 J jnl
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting.
Inf. Sci.
Hao Peng, Hongfei Wang, Bowen Du, Md. Zakirul Alam Bhuiyan, Hongyuan Ma, Jianwei Liu, Lihong Wang, Zeyu Yang, Linfeng Du, Senzhang Wang, Philip S. Yu
2020 B conf
TOPOSCH: Latency-Aware Scheduling Based on Critical Path Analysis on Shared YARN Clusters.
CLOUD
Chunming Hu, Jianyong Zhu, Renyu Yang, Hao Peng, Tianyu Wo, Shiqing Xue, Xiaoqiang Yu, Jie Xu, Rajiv Ranjan
2020 J jnl
Towards a distributed local-search approach for partitioning large-scale social networks.
Inf. Sci.
Bin Zheng, Liu Ouyang, Jing Li, Yong Lin, Chong Chang, Bo Li, Tefeng Chen, Hao Peng
2019 J jnl
3D printed perforated QR codes.
Comput. Graph.
Jingru Yang, Hao Peng, Lin Liu, Lin Lu
2019 A* conf
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines.
IJCAI
Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang
2019 B conf
Bibliographic Name Disambiguation with Graph Convolutional Network.
WISE
Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang
2019 J jnl
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling.
CoRR
Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren
2019 J jnl
Fabricating QR codes on 3D objects using self-shadows.
Comput. Aided Des.
Hao Peng, Lin Lu, Lin Liu, Andrei Sharf, Baoquan Chen
2019 A* conf
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks.
IJCAI
Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu
2019 J jnl
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks.
CoRR
Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu
2019 A conf
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding.
CIKM
Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng
2019 J jnl
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding.
CoRR
Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng
2019 J jnl
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
CoRR
Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu
2019 B conf
Learning Semantic Coherence for Machine Generated Spam Text Detection.
IJCNN
Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu
2019 J jnl
Prediction of academic performance associated with internet usage behaviors using machine learning algorithms.
Comput. Hum. Behav.
Xing Xu, Jianzhong Wang, Hao Peng, Ruilin Wu
2019 J jnl
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
CoRR
Yu He, Jianxin Li, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng, Hao Peng
2018 — conf
Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Zou Zhene, Hao Peng, Liu Lin, Guixi Xiong, Bowen Du, Md. Zakirul Alam Bhuiyan, Yuntao Long, Da Li
2018 J jnl
Eagle+: A fast incremental approach to automaton and table online updates for cloud services.
Future Gener. Comput. Syst.
Jianxin Li, Hao Peng, Erica Yang, Chunming Hu, Shenghai Zhong, Lihong Wang
2018 — conf
Graph CNNs for Urban Traffic Passenger Flows Prediction.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Jing Li, Hao Peng, Lin Liu, Guixi Xiong, Bowen Du, Hongyuan Ma, Lihong Wang, Md. Zakirul Alam Bhuiyan
2018 J jnl
Graph Convolutional Neural Networks via Motif-based Attention.
CoRR
Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Lihong Wang
2018 J jnl
Incremental term representation learning for social network analysis.
Future Gener. Comput. Syst.
Hao Peng, Mengjiao Bao, Jianxin Li, Md. Zakirul Alam Bhuiyan, Yaopeng Liu, Yu He, Erica Yang
2018 A* conf
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN.
WWW
Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang
2018 A* conf
Time-evolving Text Classification with Deep Neural Networks.
IJCAI
Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng
2017 A* conf
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models.
AAAI
Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu
2017 — conf
Optimizing XCSR for Text Classification.
SOSE
Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal, Hao Peng
2016 — conf
Eagle: An Agile Approach to Automaton Updating in Cloud Security Services.
SOSE
Hao Peng, Zhe Liu, Jie Shen, Xue Li, Hanteng Chen, Jianxin Li, Lu Liu