Diversity regularization in deep ensembles. - Changjian Shui; Azadeh Sadat Mozafari; Jonathan Marek; Ihsen Hedhli; Christian Gagné 001 (CoRR, 2018)

Accumulating Knowledge for Lifelong Online Learning. - Changjian Shui; Ihsen Hedhli; Christian Gagné 001 (CoRR, 2018)

A Principled Approach for Learning Task Similarity in Multitask Learning. - Changjian Shui; Mahdieh Abbasi; Louis-Émile Robitaille; Boyu Wang 004; Christian Gagné 001 (IJCAI, 2019)

Deep Active Learning: Unified and Principled Method for Query and Training. - Changjian Shui; Fan Zhou 006; Christian Gagné 001; Boyu Wang 004 (AISTATS, 2020)

Toward Metrics for Differentiating Out-of-Distribution Sets. - Mahdieh Abbasi; Changjian Shui; Arezoo Rajabi; Christian Gagné 001; Rakesh B. Bobba (ECAI, 2020)

Discriminative Active Learning for Domain Adaptation. - Fan Zhou 006; Changjian Shui; Bincheng Huang; Boyu Wang 004; Brahim Chaib-draa (CoRR, 2020)

Domain Generalization with Optimal Transport and Metric Learning. - Fan Zhou 006; Zhuqing Jiang; Changjian Shui; Boyu Wang 004; Brahim Chaib-draa (CoRR, 2020)

Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. - Changjian Shui; Qi Chen 015; Jun Wen; Fan Zhou 006; Christian Gagné 001; Boyu Wang 004 (CoRR, 2020)

Interventional Domain Adaptation. - Jun Wen; Changjian Shui; Kun Kuang; Junsong Yuan 001; Zenan Huang; Zhefeng Gong; Nenggan Zheng (CoRR, 2020)

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)

Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis. - Qi Chen 015; Changjian Shui; Mario Marchand (NeurIPS, 2021)

Domain generalization via optimal transport with metric similarity learning. - Fan Zhou 006; Zhuqing Jiang; Changjian Shui; Boyu Wang 004; Brahim Chaib-draa (Neurocomputing, 2021)

Discriminative active learning for domain adaptation. - Fan Zhou 006; Changjian Shui; Shichun Yang; Bincheng Huang; Boyu Wang 004; Brahim Chaib-draa (Knowl. Based Syst., 2021)

Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces. - Boyu Wang 004; Chi Man Wong; Zhao Kang 001; Feng Liu 011; Changjian Shui; Feng Wan; C. L. Philip Chen (IEEE Trans. Cybern., 2021)

Task Similarity Estimation Through Adversarial Multitask Neural Network. - Fan Zhou 006; Changjian Shui; Mahdieh Abbasi; Louis-Émile Robitaille; Boyu Wang 004; Christian Gagné 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

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

Information Gain Sampling for Active Learning in Medical Image Classification. - Raghav Mehta; Changjian Shui; Brennan Nichyporuk; Tal Arbel (UNSURE@MICCAI, 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)

Gap Minimization for Knowledge Sharing and Transfer. - Boyu Wang 004; Jorge A. Mendez; Changjian Shui; Fan Zhou 006; Di Wu 044; Christian Gagné 001; Eric Eaton (CoRR, 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)

Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. - Anjun Hu; Jean-Pierre R. Falet; Brennan S. Nichyporuk; Changjian Shui; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (CoRR, 2022)

A novel domain adaptation theory with Jensen-Shannon divergence. - Changjian Shui; Qi Chen 015; Jun Wen; Fan Zhou 006; Christian Gagné 001; Boyu Wang 004 (Knowl. Based Syst., 2022)

On the benefits of representation regularization in invariance based domain generalization. - Changjian Shui; Boyu Wang 004; Christian Gagné 001 (Mach. Learn., 2022)

Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. - Changjian Shui; Justin Szeto; Raghav Mehta; Douglas L. Arnold; Tal Arbel (MICCAI (3), 2023)

Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. - Raghav Mehta; Changjian Shui; Tal Arbel (MIDL, 2023)

On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm. - Qi Chen 015; Changjian Shui; Ligong Han; Mario Marchand (NeurIPS, 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)

Gap Minimization for Knowledge Sharing and Transfer. - Boyu Wang 004; Jorge A. Mendez; Changjian Shui; Fan Zhou 006; Di Wu 044; Gezheng Xu; Christian Gagné 001; Eric Eaton (J. Mach. Learn. Res., 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)

On the Benefits of Two Dimensional Metric Learning. - Di Wu 044; Fan Zhou 006; Boyu Wang 004; Qicheng Lao; Chi Man Wong; Changjian Shui; Yuan Zhou 006; Feng Wan (IEEE Trans. Knowl. Data Eng., 2023)

Episodic task agnostic contrastive training for multi-task learning. - Fan Zhou 006; Yuyi Chen; Jun Wen; Qiuhao Zeng; Changjian Shui; Charles X. Ling; Shichun Yang; Boyu Wang 004 (Neural Networks, 2023)

Lifelong Online Learning from Accumulated Knowledge. - Changjian Shui; William Wei Wang; Ihsen Hedhli; Chi Man Wong; Feng Wan; Boyu Wang 004; Christian Gagné 001 (ACM Trans. Knowl. Discov. Data, 2023)

Towards More General Loss and Setting in Unsupervised Domain Adaptation. - Changjian Shui; Ruizhi Pu; Gezheng Xu; Jun Wen; Fan Zhou 006; Christian Gagné 001; Charles X. Ling; Boyu Wang 004 (IEEE Trans. Knowl. Data Eng., 2023)

Generalizing across Temporal Domains with Koopman Operators. - Qiuhao Zeng; Wei Wang 036; Fan Zhou 006; Gezheng Xu; Ruizhi Pu; Changjian Shui; Christian Gagné 001; Shichun Yang; Charles X. Ling; Boyu Wang 004 (AAAI, 2024)

Towards Progressive Multi-Frequency Representation for Image Warping. - Jun Xiao 010; Zihang Lyu; Cong Zhang; Yakun Ju; Changjian Shui; Kin-Man Lam 001 (CVPR, 2024)

Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models. - Jun Xiao 010; Zihang Lyu; Hao Xie; Cong Zhang; Yakun Ju; Changjian Shui; Kin-Man Lam 001 (ECCV Workshops (9), 2024)

Learning Equilibrium Transformation for Gamut Expansion and Color Restoration. - Jun Xiao 010; Changjian Shui; Zhi-Song Liu; Qian Ye; Kin-Man Lam 001 (ECCV (71), 2024)

Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time. - Qiuhao Zeng; Changjian Shui; Long-Kai Huang; Peng Liu; Xi Chen; Charles Ling 001; Boyu Wang 004 (ICLR, 2024)

Intersectional Unfairness Discovery. - Gezheng Xu; Qi Chen 015; Charles Ling 001; Boyu Wang 004; Changjian Shui (ICML, 2024)

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)

Reliably detecting model failures in deployment without labels. - Viet Nguyen; Changjian Shui; Vijay Giri; Siddarth Arya; Amol Verma; Fahad Razak; Rahul G. Krishnan (CoRR, 2025)