Yizhen Zheng

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Item Recommendation

Collaborative Filtering Recommender Systems

Graph Representation

Top Venues

IEEE Intell. Syst.

Publications

Shirui Pan, Yizhen Zheng, Yixin Liu
Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. 39 (1) (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)
Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. Inf. Sci. 657 (2024)
Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan
Contrastive Graph Similarity Networks. ACM Trans. Web 18 (2) (2024)
Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan
Improving Augmentation Consistency for Graph Contrastive Learning. Pattern Recognit. 148 (2024)
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
A survey on fairness-aware recommender systems. Inf. Fusion 100 (2023)
Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM (2023)
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI (2023)
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW (2023)
Shirui Pan, Yizhen Zheng, Yixin Liu
Integrating Graphs with Large Language Models: Methods and Prospects. CoRR (2023)
Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan
Large Language Models for Scientific Synthesis, Inference and Explanation. CoRR (2023)
Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. CoRR (2023)
Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. ICML (2023)
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
A Survey on Fairness-aware Recommender Systems. CoRR (2023)
Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. CoRR (2023)
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. CoRR (2023)
Yizhen Zheng, Shirui Pan, Vincent Cs Lee, Yu Zheng, Philip S. Yu
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. CoRR (2022)
Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. NeurIPS (2022)
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR (2022)
Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM (2022)
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. IJCAI (2022)
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. CoRR (2022)
Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent Cs Lee, Shirui Pan
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR (2022)
Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR (2021)
Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan
Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. PAKDD (1) (2021)
Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI (2021)
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. CoRR (2021)