Changjian Shui

56 papers A* 10A 2Journal 39Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Reliably detecting model failures in deployment without labels.
CoRR
Viet Nguyen, Changjian Shui, Vijay Giri, Siddarth Arya, Amol Verma, Fahad Razak, Rahul G. Krishnan
2025 J jnl
Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice.
IEEE Trans. Pattern Anal. Mach. Intell.
Gezheng Xu, Li Yi, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Changjian Shui, A. Ian McLeod, Boyu Wang, Charles Ling
2024 — conf
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models.
ECCV Workshops (9)
Jun Xiao, Zihang Lyu, Hao Xie, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
2024 J jnl
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models.
CoRR
Jun Xiao, Zihang Lyu, Hao Xie, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
2024 A* conf
Generalizing across Temporal Domains with Koopman Operators.
AAAI
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang
2024 J jnl
Generalizing across Temporal Domains with Koopman Operators.
CoRR
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling
2024 J jnl
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning.
IEEE Trans. Knowl. Data Eng.
Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2024 A* conf
Intersectional Unfairness Discovery.
ICML
Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui
2024 J jnl
Intersectional Unfairness Discovery.
CoRR
Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui
2024 A* conf
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time.
ICLR
Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang
2024 — conf
Learning Equilibrium Transformation for Gamut Expansion and Color Restoration.
ECCV (71)
Jun Xiao, Changjian Shui, Zhi-Song Liu, Qian Ye, Kin-Man Lam
2024 A* conf
Towards Progressive Multi-Frequency Representation for Image Warping.
CVPR
Jun Xiao, Zihang Lyu, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
2023 J jnl
Episodic task agnostic contrastive training for multi-task learning.
Neural Networks
Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang
2023 — conf
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis.
MIDL
Raghav Mehta, Changjian Shui, Tal Arbel
2023 J jnl
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis.
CoRR
Raghav Mehta, Changjian Shui, Tal Arbel
2023 J jnl
Gap Minimization for Knowledge Sharing and Transfer.
J. Mach. Learn. Res.
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton
2023 J jnl
Hessian Aware Low-Rank Weight Perturbation for Continual Learning.
CoRR
Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2023 J jnl
Label shift conditioned hybrid querying for deep active learning.
Knowl. Based Syst.
Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang
2023 J jnl
Lifelong Online Learning from Accumulated Knowledge.
ACM Trans. Knowl. Discov. Data
Changjian Shui, William Wei Wang, Ihsen Hedhli, Chi Man Wong, Feng Wan, Boyu Wang, Christian Gagné
2023 — conf
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis.
MICCAI (3)
Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
2023 J jnl
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis.
CoRR
Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
2023 J jnl
On the Benefits of Two Dimensional Metric Learning.
IEEE Trans. Knowl. Data Eng.
Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan
2023 A* conf
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm.
NeurIPS
Qi Chen, Changjian Shui, Ligong Han, Mario Marchand
2023 J jnl
Towards More General Loss and Setting in Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang
2022 J jnl
A novel domain adaptation theory with Jensen-Shannon divergence.
Knowl. Based Syst.
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
2022 J jnl
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors.
CoRR
Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022 J jnl
Evolving Domain Generalization.
CoRR
William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang
2022 A* conf
Fair Representation Learning through Implicit Path Alignment.
ICML
Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné
2022 J jnl
Fair Representation Learning through Implicit Path Alignment.
CoRR
Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné
2022 J jnl
Gap Minimization for Knowledge Sharing and Transfer.
CoRR
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton
2022 — conf
Information Gain Sampling for Active Learning in Medical Image Classification.
UNSURE@MICCAI
Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel
2022 J jnl
Information Gain Sampling for Active Learning in Medical Image Classification.
CoRR
Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel
2022 A* conf
On Learning Fairness and Accuracy on Multiple Subgroups.
NeurIPS
Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné
2022 J jnl
On Learning Fairness and Accuracy on Multiple Subgroups.
CoRR
Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné
2022 J jnl
On the benefits of representation regularization in invariance based domain generalization.
Mach. Learn.
Changjian Shui, Boyu Wang, Christian Gagné
2021 A* conf
Aggregating From Multiple Target-Shifted Sources.
ICML
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
2021 J jnl
Aggregating From Multiple Target-Shifted Sources.
CoRR
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
2021 J jnl
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces.
IEEE Trans. Cybern.
Boyu Wang, Chi Man Wong, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, C. L. Philip Chen
2021 J jnl
Discriminative active learning for domain adaptation.
Knowl. Based Syst.
Fan Zhou, Changjian Shui, Shichun Yang, Bincheng Huang, Boyu Wang, Brahim Chaib-draa
2021 J jnl
Domain generalization via optimal transport with metric similarity learning.
Neurocomputing
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
2021 A* conf
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis.
NeurIPS
Qi Chen, Changjian Shui, Mario Marchand
2021 J jnl
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis.
CoRR
Qi Chen, Changjian Shui, Mario Marchand
2021 J jnl
On the benefits of representation regularization in invariance based domain generalization.
CoRR
Changjian Shui, Boyu Wang, Christian Gagné
2021 J jnl
Task Similarity Estimation Through Adversarial Multitask Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
2020 J jnl
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.
CoRR
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
2020 A conf
Deep Active Learning: Unified and Principled Method for Query and Training.
AISTATS
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
2020 J jnl
Discriminative Active Learning for Domain Adaptation.
CoRR
Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa
2020 J jnl
Domain Generalization with Optimal Transport and Metric Learning.
CoRR
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
2020 J jnl
Interventional Domain Adaptation.
CoRR
Jun Wen, Changjian Shui, Kun Kuang, Junsong Yuan, Zenan Huang, Zhefeng Gong, Nenggan Zheng
2020 A conf
Toward Metrics for Differentiating Out-of-Distribution Sets.
ECAI
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
2019 A* conf
A Principled Approach for Learning Task Similarity in Multitask Learning.
IJCAI
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
2019 J jnl
A Principled Approach for Learning Task Similarity in Multitask Learning.
CoRR
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
2019 J jnl
Deep Active Learning: Unified and Principled Method for Query and Training.
CoRR
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
2019 J jnl
Toward Metrics for Differentiating Out-of-Distribution Sets.
CoRR
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh Bobba
2018 J jnl
Accumulating Knowledge for Lifelong Online Learning.
CoRR
Changjian Shui, Ihsen Hedhli, Christian Gagné
2018 J jnl
Diversity regularization in deep ensembles.
CoRR
Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné