FairGT: A Fairness-aware Graph Transformer. - Renqiang Luo; Huafei Huang; Shuo Yu 001; Xiuzhen Zhang 001; Feng Xia 001 (IJCAI, 2024)

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. - Renqiang Luo; Huafei Huang; Shuo Yu 001; Zhuoyang Han; Estrid He; Xiuzhen Zhang 001; Feng Xia 001 (KDD, 2024)

Algorithmic Fairness: A Tolerance Perspective. - Renqiang Luo; Tao Tang 007; Feng Xia 001; Jiaying Liu 001; Chengpei Xu; Leo Yu Zhang; Wei Xiang; Chengqi Zhang (CoRR, 2024)

Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing. - Mingliang Hou; Xueyi Li 005; Teng Guo; Zitao Liu 001; Mi Tian; Renqiang Luo; Weiqi Luo 002 (AAAI, 2025)

FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning. - Renqiang Luo; Huafei Huang; Ivan Lee 001; Chengpei Xu; Jianzhong Qi 001; Feng Xia 001 (AAAI, 2025)

Factor Graph-based Interpretable Neural Networks. - Yicong Li 006; Kuanjiu Zhou; Shuo Yu 001; Qiang Zhang 008; Renqiang Luo; Xiaodong Li; Feng Xia 001 (ICLR, 2025)

Multi-type social patterns-based graph learning. - Shuo Yu 001; Zhuoyang Han; Feng Ding 004; Huafei Huang; Renqiang Luo; Guoqing Han; Feng Xia 001 (Neurocomputing, 2025)

Fairness in Graph Learning Augmented with Machine Learning: A Survey. - Renqiang Luo; Ziqi Xu; Xikun Zhang 007; Qing Qing; Huafei Huang; Enyan Dai; Zhe Wang; Bo Yang (CoRR, 2025)

Graph Learning. - Feng Xia 001; Ciyuan Peng; Jing Ren 001; Falih Gozi Febrinanto; Renqiang Luo; Vidya Saikrishna; Shuo Yu 001; Xiangjie Kong 001 (CoRR, 2025)