Advancing Graph Counterfactual Fairness Through Fair Representation Learning. - Zichong Wang; Zhibo Chu; Ronald Blanco; Zhong Chen 003; Shu-Ching Chen; Wenbin Zhang 002 (ECML/PKDD (7), 2024)

History, Development, and Principles of Large Language Models-An Introductory Survey. - Zhibo Chu; Shiwen Ni; Zichong Wang; Xi Feng; Chengming Li; Xiping Hu; Ruifeng Xu 001; Min Yang 007; Wenbin Zhang 002 (CoRR, 2024)

Fairness Definitions in Language Models Explained. - Thang Viet Doan; Zhibo Chu; Zichong Wang; Wenbin Zhang 002 (CoRR, 2024)

Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL. - Zhibo Chu; Zichong Wang; Qitao Qin (CoRR, 2024)

Fairness in Large Language Models: A Taxonomic Survey. - Zhibo Chu; Zichong Wang; Wenbin Zhang 002 (SIGKDD Explor., 2024)

Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. - Zichong Wang; Zhibo Chu; Thang Viet Doan; Shaowei Wang 002; Yongkai Wu; Vasile Palade; Wenbin Zhang 002 (AAAI, 2025)

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation. - Qitao Qin; Yucong Luo; Yihang Lu; Zhibo Chu; Xiaoman Liu; Xianwei Meng (ACL (Findings), 2025)

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation. - Qitao Qin; Yucong Luo; Yihang Lu; Zhibo Chu; Xianwei Meng (CoRR, 2025)

History, development, and principles of large language models: an introductory survey. - Zichong Wang; Zhibo Chu; Thang Viet Doan; Shiwen Ni; Min Yang 007; Wenbin Zhang 002 (AI Ethics, 2025)

DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation. - Qitao Qin; Yucong Luo; Zhibo Chu (CoRR, 2025)