Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. - Ming Jin 005; Yizhen Zheng; Yuan-Fang Li; Chen Gong 002; Chuan Zhou 001; Shirui Pan (IJCAI, 2021)

Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. - Yizhen Zheng; Vincent C. S. Lee; Zonghan Wu; Shirui Pan (PAKDD (1), 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)

Unifying Graph Contrastive Learning with Flexible Contextual Scopes. - Yizhen Zheng; Yu Zheng 013; Xiaofei Zhou; Chen Gong 002; Vincent C. S. Lee; Shirui Pan (ICDM, 2022)

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Xiang Li 067; Fei Jiang 009; Wei Lin 022; Shirui Pan (IJCAI, 2022)

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. - Yizhen Zheng; Shirui Pan; Vincent C. S. Lee; Yu Zheng 013; Philip S. Yu (NeurIPS, 2022)

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. - Yixin Liu 001; Yizhen Zheng; Daokun Zhang; Vincent C. S. Lee; Shirui Pan (AAAI, 2023)

PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. - Junjun Pan; Yixin Liu 001; Yizhen Zheng; Shirui Pan (ICDM, 2023)

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. - Yizhen Zheng; He Zhang 012; Vincent Cheng-Siong Lee; Yu Zheng 013; Xiao Wang; Shirui Pan (ICML, 2023)

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Guojie Song; Fei Jiang 009; Xiang Li 067; Wei Lin 022; Shirui Pan (WWW, 2023)

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Guojie Song; Fei Jiang 009; Xiang Li 067; Wei Lin 016; Shirui Pan (CoRR, 2023)

Large Language Models for Scientific Synthesis, Inference and Explanation. - Yizhen Zheng; Huan Yee Koh; Jiaxin Ju; Anh T. N. Nguyen; Lauren T. May; Geoffrey I. Webb; Shirui Pan (CoRR, 2023)

A survey on fairness-aware recommender systems. - Di Jin 001; Luzhi Wang; He Zhang 012; Yizhen Zheng; Weiping Ding 001; Feng Xia 001; Shirui Pan (Inf. Fusion, 2023)

A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data. - Yizhen Zheng; Wen Dong 003; Zhiping Yang; Yihang Lu; Xin Zhang 031; Yanni Dong; Fengqing Sun (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials. - Yizhen Zheng; Huan Yee Koh; Maddie Yang; Li Li; Lauren T. May; Geoffrey I. Webb; Shirui Pan; George Church (CoRR, 2024)

Integrating Graphs With Large Language Models: Methods and Prospects. - Shirui Pan; Yizhen Zheng; Yixin Liu 001 (IEEE Intell. Syst., 2024)

Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. - Yang Tao; Kai Guo 003; Yizhen Zheng; Shirui Pan; Xiaofeng Cao 002; Yi Chang 001 (Inf. Sci., 2024)

Improving Augmentation Consistency for Graph Contrastive Learning. - Weixin Bu; Xiaofeng Cao 002; Yizhen Zheng; Shirui Pan (Pattern Recognit., 2024)

Contrastive Graph Similarity Networks. - Luzhi Wang; Yizhen Zheng; Di Jin 001; Fuyi Li; Yongliang Qiao; Shirui Pan (ACM Trans. Web, 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)

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection. - Junjun Pan; Yixin Liu 001; Xin Zheng 008; Yizhen Zheng; Alan Wee-Chung Liew; Fuyi Li; Shirui Pan (AAAI, 2025)

SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer. - Zizhe Jin; Yizhen Zheng; Linhao Luo; Yixin Liu 001; Xin Zheng 008; Xuefei Yin; Vincent Lee; Shirui Pan (PAKDD (2), 2025)

Uni-MRL: Unified MultiModal Molecular Representation Learning with Large Language Models and Graph Neural Networks. - Jiaxin Ju; Yizhen Zheng; Huan Yee Koh; Shirui Pan (PAKDD (5), 2025)

Planning scheme of artificial assembly posture and arm movement path in narrow space. - Yizhen Zheng; Yuefeng Li; Xudong Pan; Fanwei Meng; Changyu Chen (Eng. Appl. Artif. Intell., 2025)

Large language models for scientific discovery in molecular property prediction. - Yizhen Zheng; Huan Yee Koh; Jiaxin Ju; Anh T. N. Nguyen; Lauren T. May; Geoffrey I. Webb; Shirui Pan (Nat. Mac. Intell., 2025)

Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization. - Jiajun Yu; Yizhen Zheng; Huan Yee Koh; Shirui Pan; Tianyue Wang; Haishuai Wang (CoRR, 2025)

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models. - Zhuo Chen; Yizhen Zheng; Huan Yee Koh; Hongxin Xiang; Linjiang Chen; Wenjie Du; Yang Wang (CoRR, 2025)

M2LLM: Multi-view Molecular Representation Learning with Large Language Models. - Jiaxin Ju; Yizhen Zheng; Huan Yee Koh; Can Wang 004; Shirui Pan (CoRR, 2025)