| When source-free domain adaptation meets learning with noisy labels L Yi, G Xu, P Xu, J Li, R Pu, C Ling, AI McLeod, B Wang The International Conference on Learning Representations (ICLR), 2023, 2023 | 51 | 2023 |
| On learning fairness and accuracy on multiple subgroups C Shui, G Xu, Q Chen, J Li, CX Ling, T Arbel, B Wang, C Gagné Advances in Neural Information Processing Systems 35, 34121-34135, 2022 | 39 | 2022 |
| External features enriched model for biomedical question answering G Xu, W Rong, Y Wang, Y Ouyang, Z Xiong BMC bioinformatics 22 (1), 272, 2021 | 35 | 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 | 10 | 2023 |
| Facial expression recognition based on convolutional neural networks and edge computing G Xu, H Yin, J Yang 2020 IEEE Conference on Telecommunications, Optics and Computer Science …, 2020 | 7 | 2020 |
| 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 | 5 | 2024 |
| 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 | 5 | 2023 |
| Label shift conditioned hybrid querying for deep active learning J Li, H Kong, G Xu, C Shui, R Pu, Z Kang, CX Ling, B Wang Knowledge-Based Systems 274, 110616, 2023 | 2 | 2023 |
| Intersectional Unfairness Discovery G Xu, Q Chen, C Ling, B Wang, C Shui International Conference on Machine Learning (ICML), 2024, 2024 | 1 | 2024 |
| Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice G Xu, L Yi, P Xu, J Li, R Pu, C Shui, C Ling, AI McLeod, B Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | | 2025 |
| ZETA: Leveraging Z-order Curves for Efficient Top-k Attention Q Zeng, J Huang, P Lu, G Xu, B Chen, C Ling, B Wang arXiv preprint arXiv:2501.14577, 2025 | | 2025 |
| Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression R Pu, G Xu, R Fang, B Bao, CX Ling, B Wang arXiv preprint arXiv:2412.12327, 2024 | | 2024 |
| Fedelr: When Federated Learning Meets Learning with Noisy Labels R Pu, L Yu, S Zhan, G Xu, F Zhou, CX Ling, B Wang Available at SSRN 4995227, 0 | | |
| Directional Domain Generalization W Wang, J Li, R Pu, G Xu, F Zhou, C Shui, C Ling, B Wang | | |