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 | 162 | 2020 |
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 | 92* | 2021 |
Beyond H-divergence: Domain adaptation theory with jensen-shannon divergence C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang arXiv preprint arXiv:2007.15567, 2020 | 29 | 2020 |
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 | 23 | 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, 466-480, 2021 | 23 | 2021 |
A novel domain adaptation theory with Jensen–Shannon divergence C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang Knowledge-Based Systems 257, 109808, 2022 | 14 | 2022 |
Multi-task Learning by Leveraging the Semantic Information F Zhou, B Chaib-draa, B Wang Thirty-Fifth AAAI Conference on Artificial Intelligence 35 (12), 11088-11096, 2021 | 10 | 2021 |
Gap minimization for knowledge sharing and transfer B Wang, JA Mendez, C Shui, F Zhou, D Wu, G Xu, C Gagné, E Eaton Journal of Machine Learning Research 24 (33), 1-57, 2023 | 8 | 2023 |
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments Q Zeng, W Wang, F Zhou, C Ling, B Wang Thirty-Seventh AAAI Conference on Artificial Intelligence 37 (9), 11147-11155, 2023 | 7 | 2023 |
Episodic training for domain generalization using latent domains B Huang, S Chen, F Zhou, C Zhang, F Zhang Cognitive Systems and Signal Processing: 5th International Conference …, 2021 | 5 | 2021 |
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 | 4 | 2022 |
Generalizing across temporal domains with koopman operators Q Zeng, W Wang, F Zhou, G Xu, R Pu, C Shui, C Gagné, S Yang, CX Ling, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16651 …, 2024 | 3 | 2024 |
On the value of label and semantic information in domain generalization F Zhou, Y Chen, S Yang, B Wang, B Chaib-Draa Neural Networks 163, 244-255, 2023 | 3 | 2023 |
Towards more general loss and setting in unsupervised domain adaptation C Shui, R Pu, G Xu, J Wen, F Zhou, C Gagné, CX Ling, B Wang IEEE Transactions on Knowledge and Data Engineering 35 (10), 10140-10150, 2023 | 3 | 2023 |
Episodic task agnostic contrastive training for multi-task learning F Zhou, Y Chen, J Wen, Q Zeng, C Shui, CX Ling, S Yang, B Wang Neural Networks 162, 34-45, 2023 | 2 | 2023 |
Hessian Aware Low-Rank Weight Perturbation for Continual Learning J Li, R Wang, Y Lai, C Shui, S Sahoo, CX Ling, S Yang, B Wang, C Gagné, ... arXiv preprint arXiv:2311.15161, 2023 | | 2023 |
MEC-Enabled Lane Change Prediction with Spatiotemporal Attention Mechanism for ITS Y Chen, S Yang, Z Wang, Z Nan, R Wang, F Zhou, X Yan, Y Cao 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
An Efficient Driver Anomaly State Detection Approach Based on End-Cloud Integration and Unsupervised Learning J Lu, Y Cao, R Shi, B Zhang, Y Chen, B Sun, Z Pang, F Zhou, S Yang 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
Domain Adaptive Road Perception Network of Autonomous Vehicles R Wang, S Yang, Y Chen, R Shi, Z Li, J Lu, X Feng, F Zhou, X Yan, Y Cao 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
On the Benefits of Two Dimensional Metric Learning D Wu, F Zhou, B Wang, Q Lao, CM Wong, C Shui, Y Zhou, F Wan IEEE Transactions on Knowledge and Data Engineering 35 (2), 1909-1921, 2021 | | 2021 |