Hao Peng

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 38

Top Topics

Reinforcement Learning

Structural Information

Event Detection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. CoRR (2024)
Pu Li, Xiaoyan Yu, Hao Peng, Yantuan Xian, Linqin Wang, Li Sun, Jingyun Zhang, Philip S. Yu
Relational Prompt-based Pre-trained Language Models for Social Event Detection. CoRR (2024)
Li Sun, Jingbin Hu, Mengjie Li, Hao Peng
R-ODE: Ricci Curvature Tells When You Will be Informed. CoRR (2024)
Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao
SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection. KDD (2024)
Runze Yang, Hao Peng, Chunyang Liu, Angsheng Li
Incremental measurement of structural entropy for dynamic graphs. Artif. Intell. 334 (2024)
Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. AAAI (2024)
Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
Multi-Relational Structural Entropy. CoRR (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Instruction-based Hypergraph Pretraining. SIGIR (2024)
Hao Peng, Jian Yang, Jia Wu, Philip S. Yu
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2. ACM Trans. Web 18 (2) (2024)
Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
RicciNet: Deep Clustering via A Riemannian Generative Model. WWW (2024)
Xianghua Zeng, Hao Peng, Dingli Su, Angsheng Li
Effective Reinforcement Learning Based on Structural Information Principles. CoRR (2024)
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He
Semi-Supervised Clustering via Structural Entropy with Different Constraints. SDM (2024)
Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. SDM (2024)
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM (2024)
Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR (2024)
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR (2024)
Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. AAAI (2024)
Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection. CoRR (2024)
Kun Peng, Lei Jiang, Qian Li, Haoran Li, Xiaoyan Yu, Li Sun, Shuo Sun, Yanxian Bi, Hao Peng
Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction. CoRR (2024)
Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu
A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI (2024)
Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
Unsupervised Social Bot Detection via Structural Information Theory. CoRR (2024)
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR (2024)
Zhiwei Yang, Yuecen Wei, Haoran Li, Qian Li, Lei Jiang, Li Sun, Xiaoyan Yu, Chunming Hu, Hao Peng
Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection. CoRR (2024)
Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Xianghua Zeng, Hao Peng, Angsheng Li
Adversarial Socialbots Modeling Based on Structural Information Principles. AAAI (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Instruction-based Hypergraph Pretraining. CoRR (2024)
Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. WSDM (2024)
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
Advancing LLM Reasoning Generalists with Preference Trees. CoRR (2024)
Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization. WSDM (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Unified Pretraining for Recommendation via Task Hypergraphs. WSDM (2024)
Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. CoRR (2024)
Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. AAAI (2024)
Jinke Cheng, Gaolei Li, Xi Lin, Hao Peng, Jianhua Li
Content Style-triggered Backdoor Attack in Non-IID Federated Learning via Generative AI. ISPA/BDCloud/SocialCom/SustainCom (2023)
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS (2023)