Aggregating From Multiple Target-Shifted Sources. - Changjian Shui; Zijian Li 001; Jiaqi Li 005; Christian Gagné 001; Charles X. Ling; Boyu Wang 004 (ICML, 2021)

Fair Representation Learning through Implicit Path Alignment. - Changjian Shui; Qi Chen 015; Jiaqi Li 005; Boyu Wang 004; Christian Gagné 001 (ICML, 2022)

On Learning Fairness and Accuracy on Multiple Subgroups. - Changjian Shui; Gezheng Xu; Qi Chen 015; Jiaqi Li 005; Charles X. Ling; Tal Arbel; Boyu Wang 004; Christian Gagné 001 (NeurIPS, 2022)

Evolving Domain Generalization. - William Wei Wang; Gezheng Xu; Ruizhi Pu; Jiaqi Li 005; Fan Zhou 006; Changjian Shui; Charles X. Ling; Christian Gagné 001; Boyu Wang 004 (CoRR, 2022)

When Source-Free Domain Adaptation Meets Learning with Noisy Labels. - Li Yi; Gezheng Xu; Pengcheng Xu 008; Jiaqi Li 005; Ruizhi Pu; Charles Ling 001; A. Ian McLeod; Boyu Wang 004 (ICLR, 2023)

Hessian Aware Low-Rank Weight Perturbation for Continual Learning. - Jiaqi Li 005; Rui Wang 121; Yuanhao Lai; Changjian Shui; Sabyasachi Sahoo; Charles X. Ling; Shichun Yang; Boyu Wang 004; Christian Gagné 001; Fan Zhou 006 (CoRR, 2023)

Label shift conditioned hybrid querying for deep active learning. - Jiaqi Li 005; Haojia Kong; Gezheng Xu; Changjian Shui; Ruizhi Pu; Zhao Kang 001; Charles X. Ling; Boyu Wang 004 (Knowl. Based Syst., 2023)

Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. - Jiaqi Li 005; Yuanhao Lai; Rui Wang 121; Changjian Shui; Sabyasachi Sahoo; Charles X. Ling; Shichun Yang; Boyu Wang 004; Christian Gagné 001; Fan Zhou 006 (IEEE Trans. Knowl. Data Eng., 2024)

Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice. - Gezheng Xu; Li Yi; Pengcheng Xu 008; Jiaqi Li 005; Ruizhi Pu; Changjian Shui; A. Ian McLeod; Boyu Wang 004; Charles Ling 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)