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2020 – today
- 2024
[j13]Jiaqi Li
, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou:
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. IEEE Trans. Knowl. Data Eng. 36(11): 6385-6396 (2024)- [c16]Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang:
Generalizing across Temporal Domains with Koopman Operators. AAAI 2024: 16651-16659 - [c15]Jun Xiao, Zihang Lyu, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam:
Towards Progressive Multi-Frequency Representation for Image Warping. CVPR 2024: 2995-3004 - [c14]Jun Xiao, Changjian Shui, Zhi-Song Liu, Qian Ye, Kin-Man Lam:
Learning Equilibrium Transformation for Gamut Expansion and Color Restoration. ECCV (71) 2024: 415-432 - [c13]Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang:
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time. ICLR 2024 - [c12]Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui:
Intersectional Unfairness Discovery. ICML 2024 - [i23]Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling:
Generalizing across Temporal Domains with Koopman Operators. CoRR abs/2402.07834 (2024) - [i22]Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui:
Intersectional Unfairness Discovery. CoRR abs/2405.20790 (2024) - 2023
- [j12]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. J. Mach. Learn. Res. 24: 33:1-33:57 (2023) - [j11]Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang:
Label shift conditioned hybrid querying for deep active learning. Knowl. Based Syst. 274: 110616 (2023) - [j10]Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang:
Episodic task agnostic contrastive training for multi-task learning. Neural Networks 162: 34-45 (2023) - [j9]Changjian Shui, William Wei Wang, Ihsen Hedhli, Chi Man Wong, Feng Wan, Boyu Wang, Christian Gagné:
Lifelong Online Learning from Accumulated Knowledge. ACM Trans. Knowl. Discov. Data 17(4): 52:1-52:23 (2023) - [j8]Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan:
On the Benefits of Two Dimensional Metric Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1909-1921 (2023) - [j7]Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang:
Towards More General Loss and Setting in Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(10): 10140-10150 (2023) - [c11]Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel:
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. MICCAI (3) 2023: 189-198 - [c10]Raghav Mehta, Changjian Shui, Tal Arbel:
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. MIDL 2023: 1453-1492 - [c9]Qi Chen, Changjian Shui, Ligong Han, Mario Marchand:
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm. NeurIPS 2023 - [i21]Raghav Mehta, Changjian Shui, Tal Arbel:
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. CoRR abs/2303.03242 (2023) - [i20]Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel:
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. CoRR abs/2307.01738 (2023) - [i19]Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou:
Hessian Aware Low-Rank Weight Perturbation for Continual Learning. CoRR abs/2311.15161 (2023) - 2022
- [j6]Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang:
A novel domain adaptation theory with Jensen-Shannon divergence. Knowl. Based Syst. 257: 109808 (2022) - [j5]Changjian Shui, Boyu Wang, Christian Gagné:
On the benefits of representation regularization in invariance based domain generalization. Mach. Learn. 111(3): 895-915 (2022) - [c8]Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné:
Fair Representation Learning through Implicit Path Alignment. ICML 2022: 20156-20175 - [c7]Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel:
Information Gain Sampling for Active Learning in Medical Image Classification. UNSURE@MICCAI 2022: 135-145 - [c6]Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné:
On Learning Fairness and Accuracy on Multiple Subgroups. NeurIPS 2022 - [i18]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. CoRR abs/2201.11231 (2022) - [i17]Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné:
Fair Representation Learning through Implicit Path Alignment. CoRR abs/2205.13316 (2022) - [i16]William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang:
Evolving Domain Generalization. CoRR abs/2206.00047 (2022) - [i15]Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel:
Information Gain Sampling for Active Learning in Medical Image Classification. CoRR abs/2208.00974 (2022) - [i14]Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné:
On Learning Fairness and Accuracy on Multiple Subgroups. CoRR abs/2210.10837 (2022) - [i13]Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. CoRR abs/2211.07820 (2022) - 2021
- [j4]Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa:
Domain generalization via optimal transport with metric similarity learning. Neurocomputing 456: 469-480 (2021) - [j3]Fan Zhou, Changjian Shui, Shichun Yang, Bincheng Huang, Boyu Wang, Brahim Chaib-draa:
Discriminative active learning for domain adaptation. Knowl. Based Syst. 222: 106986 (2021) - [j2]Boyu Wang, Chi Man Wong, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, C. L. Philip Chen:
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces. IEEE Trans. Cybern. 51(10): 5008-5020 (2021) - [j1]Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
Task Similarity Estimation Through Adversarial Multitask Neural Network. IEEE Trans. Neural Networks Learn. Syst. 32(2): 466-480 (2021) - [c5]Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang:
Aggregating From Multiple Target-Shifted Sources. ICML 2021: 9638-9648 - [c4]Qi Chen, Changjian Shui, Mario Marchand:
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis. NeurIPS 2021: 25878-25890 - [i12]Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang:
Aggregating From Multiple Target-Shifted Sources. CoRR abs/2105.04051 (2021) - [i11]Changjian Shui, Boyu Wang, Christian Gagné:
On the benefits of representation regularization in invariance based domain generalization. CoRR abs/2105.14529 (2021) - [i10]Qi Chen, Changjian Shui, Mario Marchand:
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis. CoRR abs/2109.14595 (2021) - 2020
- [c3]Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang:
Deep Active Learning: Unified and Principled Method for Query and Training. AISTATS 2020: 1308-1318 - [c2]Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba:
Toward Metrics for Differentiating Out-of-Distribution Sets. ECAI 2020: 929-936 - [i9]Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa:
Discriminative Active Learning for Domain Adaptation. CoRR abs/2005.11653 (2020) - [i8]Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa:
Domain Generalization with Optimal Transport and Metric Learning. CoRR abs/2007.10573 (2020) - [i7]Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang:
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. CoRR abs/2007.15567 (2020) - [i6]Jun Wen, Changjian Shui, Kun Kuang, Junsong Yuan, Zenan Huang, Zhefeng Gong, Nenggan Zheng:
Interventional Domain Adaptation. CoRR abs/2011.03737 (2020)
2010 – 2019
- 2019
- [c1]Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
A Principled Approach for Learning Task Similarity in Multitask Learning. IJCAI 2019: 3446-3452 - [i5]Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
A Principled Approach for Learning Task Similarity in Multitask Learning. CoRR abs/1903.09109 (2019) - [i4]Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh Bobba:
Toward Metrics for Differentiating Out-of-Distribution Sets. CoRR abs/1910.08650 (2019) - [i3]Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang:
Deep Active Learning: Unified and Principled Method for Query and Training. CoRR abs/1911.09162 (2019) - 2018
- [i2]Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné:
Diversity regularization in deep ensembles. CoRR abs/1802.07881 (2018) - [i1]Changjian Shui, Ihsen Hedhli, Christian Gagné:
Accumulating Knowledge for Lifelong Online Learning. CoRR abs/1810.11479 (2018)
Coauthor Index
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