Shui, Changjian

16 publications

NeurIPS 2025 Reliably Detecting Model Failures in Deployment Without Labels Viet Nguyen, Changjian Shui, Vijay Giri, Siddharth Arya, Amol Verma, Fahad Razak, Rahul Krishnan

ECCVW 2024 Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models Jun Xiao, Zihang Lyu, Hao Xie, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam

AAAI 2024 Generalizing Across Temporal Domains with Koopman Operators Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang

ICML 2024 Intersectional Unfairness Discovery Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui

ICLR 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, Boyu Wang

ECCV 2024 Learning Equilibrium Transformation for Gamut Expansion and Color Restoration Jun Xiao, Changjian Shui, Zhi-Song Liu, Qian Ye, Kin-Man Lam

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

JMLR 2023 Gap Minimization for Knowledge Sharing and Transfer Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton

NeurIPS 2023 On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm Qi Chen, Changjian Shui, Ligong Han, Mario Marchand

ICML 2022 Fair Representation Learning Through Implicit Path Alignment Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné

NeurIPS 2022 On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné

MLJ 2022 On the Benefits of Representation Regularization in Invariance Based Domain Generalization Changjian Shui, Boyu Wang, Christian Gagné

ICML 2021 Aggregating from Multiple Target-Shifted Sources Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X Ling, Boyu Wang

NeurIPS 2021 Generalization Bounds for Meta-Learning: An Information-Theoretic Analysis Qi Chen, Changjian Shui, Mario Marchand

AISTATS 2020 Deep Active Learning: Unified and Principled Method for Query and Training Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang

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