Changjian Shui

According to our database, Changjian Shui authored at least 39 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning.

Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou

IEEE Trans. Knowl. Data Eng., November, 2024

Intersectional Unfairness Discovery.

Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Equilibrium Transformation for Gamut Expansion and Color Restoration.

Jun Xiao, Changjian Shui, Zhi-Song Liu, Qian Ye, Kin-Man Lam

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Progressive Multi-Frequency Representation for Image Warping.

Jun Xiao, Zihang Lyu, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards More General Loss and Setting in Unsupervised Domain Adaptation.

Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang

IEEE Trans. Knowl. Data Eng., October, 2023

Lifelong Online Learning from Accumulated Knowledge.

Changjian Shui, William Wei Wang, Ihsen Hedhli, Chi Man Wong, Feng Wan, Boyu Wang, Christian Gagné

ACM Trans. Knowl. Discov. Data, May, 2023

Episodic task agnostic contrastive training for multi-task learning.

Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang

Neural Networks, May, 2023

On the Benefits of Two Dimensional Metric Learning.

Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan

IEEE Trans. Knowl. Data Eng., 2023

Label shift conditioned hybrid querying for deep active learning.

Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang

Knowl. Based Syst., 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

J. Mach. Learn. Res., 2023

Hessian Aware Low-Rank Weight Perturbation for Continual Learning.

Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou

CoRR, 2023

On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm.

Qi Chen, Changjian Shui, Ligong Han, Mario Marchand

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis.

Raghav Mehta, Changjian Shui, Tal Arbel

Proceedings of the Medical Imaging with Deep Learning, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

On the benefits of representation regularization in invariance based domain generalization.

Changjian Shui, Boyu Wang, Christian Gagné

Mach. Learn., 2022

A novel domain adaptation theory with Jensen-Shannon divergence.

Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang

Knowl. Based Syst., 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

Evolving Domain Generalization.

William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang

CoRR, 2022

Gap Minimization for Knowledge Sharing and Transfer.

Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Information Gain Sampling for Active Learning in Medical Image Classification.

Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Fair Representation Learning through Implicit Path Alignment.

Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné

Proceedings of the International Conference on Machine Learning, 2022

2021

Task Similarity Estimation Through Adversarial Multitask Neural Network.

Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné

IEEE Trans. Neural Networks Learn. Syst., 2021

Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces.

Boyu Wang, Chi Man Wong, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, C. L. Philip Chen

IEEE Trans. Cybern., 2021

Discriminative active learning for domain adaptation.

Fan Zhou, Changjian Shui, Shichun Yang, Bincheng Huang, Boyu Wang, Brahim Chaib-draa

Knowl. Based Syst., 2021

Domain generalization via optimal transport with metric similarity learning.

Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa

Neurocomputing, 2021

Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis.

Qi Chen, Changjian Shui, Mario Marchand

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Aggregating From Multiple Target-Shifted Sources.

Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Interventional Domain Adaptation.

Jun Wen, Changjian Shui, Kun Kuang, Junsong Yuan, Zenan Huang, Zhefeng Gong, Nenggan Zheng

CoRR, 2020

Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.

Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang

CoRR, 2020

Domain Generalization with Optimal Transport and Metric Learning.

Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa

CoRR, 2020

Discriminative Active Learning for Domain Adaptation.

Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa

CoRR, 2020

Toward Metrics for Differentiating Out-of-Distribution Sets.

Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Deep Active Learning: Unified and Principled Method for Query and Training.

Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A Principled Approach for Learning Task Similarity in Multitask Learning.

Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Accumulating Knowledge for Lifelong Online Learning.

Changjian Shui, Ihsen Hedhli, Christian Gagné

CoRR, 2018

Diversity regularization in deep ensembles.

Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné

CoRR, 2018