Changjian Shui
Changjian Shui
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Cited by
Cited by
Deep active learning: Unified and principled method for query and training
C Shui, F Zhou, C Gagné, B Wang
International Conference on Artificial Intelligence and Statistics, 1308-1318, 2020
A principled approach for learning task similarity in multitask learning
C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné
IJCAI, 2019, 2019
Domain generalization via optimal transport with metric similarity learning
F Zhou, Z Jiang, C Shui, B Wang, B Chaib-draa
Neurocomputing 456, 469-480, 2021
Common spatial pattern reformulated for regularizations in brain–computer interfaces
B Wang, CM Wong, Z Kang, F Liu, C Shui, F Wan, CLP Chen
IEEE Transactions on Cybernetics 51 (10), 5008-5020, 2020
A novel domain adaptation theory with Jensen–Shannon divergence
C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang
Knowledge-Based Systems, 109808, 2022
Discriminative active learning for domain adaptation
F Zhou, C Shui, S Yang, B Huang, B Wang, B Chaib-draa
Knowledge-Based Systems 222, 106986, 2021
On the benefits of representation regularization in invariance based domain generalization
C Shui, B Wang, C Gagné
Machine Learning 111 (3), 895-915, 2022
Generalization bounds for meta-learning: An information-theoretic analysis
Q Chen, C Shui, M Marchand
Advances in Neural Information Processing Systems 34, 25878-25890, 2021
Aggregating From Multiple Target-Shifted Sources
C Shui, Z Li, J Li, C Gagné, C Ling, B Wang
ICML 2021, 2021
Task similarity estimation through adversarial multitask neural network
F Zhou, C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné
IEEE Transactions on Neural Networks and Learning Systems 32 (2), 466-480, 2020
Diversity regularization in deep ensembles
C Shui, AS Mozafari, J Marek, I Hedhli, C Gagné
arXiv preprint arXiv:1802.07881, 2018
Toward metrics for differentiating out-of-distribution sets
M Abbasi, C Shui, A Rajabi, C Gagne, R Bobba
arXiv preprint arXiv:1910.08650, 2019
Fair representation learning through implicit path alignment
C Shui, Q Chen, J Li, B Wang, C Gagné
International Conference on Machine Learning, 20156-20175, 2022
On learning fairness and accuracy on multiple subgroups
C Shui, G Xu, Q Chen, J Li, C Ling, T Arbel, B Wang, C Gagné
arXiv preprint arXiv:2210.10837, 2022
Interventional Domain Adaptation
J Wen, C Shui, K Kuang, J Yuan, Z Huang, Z Gong, N Zheng
arXiv preprint arXiv:2011.03737, 2020
Gap Minimization for Knowledge Sharing and Transfer
B Wang, JA Mendez, C Shui, F Zhou, G Xu, C Gagné, E Eaton
Journal of Machine Learning Research 24 (33), 1-57, 2023
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
A Hu, JPR Falet, BS Nichyporuk, C Shui, DL Arnold, SA Tsaftaris, T Arbel
arXiv preprint arXiv:2211.07820, 2022
Information Gain Sampling for Active Learning in Medical Image Classification
R Mehta, C Shui, B Nichyporuk, T Arbel
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 4th …, 2022
Evolving Domain Generalization
WW Wang, G Xu, R Pu, J Li, F Zhou, C Shui, C Ling, C Gagné, B Wang
arXiv preprint arXiv:2206.00047, 2022
Principled deep learning approaches for learning from limited labeled data through distribution matching
C Shui
Thesis, 2022
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