Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation Y Du, H Yang, M Chen, H Luo, J Jiang, Y Xin, C Wang Machine Learning 113 (6), 3611-3631, 2024 | 38 | 2024 |
Semi-supervised learning with multi-head co-training M Chen, Y Du, Y Zhang, S Qian, C Wang Proceedings of the AAAI conference on artificial intelligence 36 (6), 6278-6286, 2022 | 33 | 2022 |
Two wrongs don’t make a right: Combating confirmation bias in learning with label noise M Chen, H Cheng, Y Du, M Xu, W Jiang, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14765 …, 2023 | 27 | 2023 |
Read: Aggregating reconstruction error into out-of-distribution detection W Jiang, Y Ge, H Cheng, M Chen, S Feng, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14910 …, 2023 | 17 | 2023 |
Dos: Diverse outlier sampling for out-of-distribution detection W Jiang, H Cheng, M Chen, C Wang, H Wei arXiv preprint arXiv:2306.02031, 2023 | 14 | 2023 |
SSCpred: single-sequence-based protein contact prediction using deep fully convolutional network MC Chen, Y Li, YH Zhu, F Ge, DJ Yu Journal of chemical information and modeling 60 (6), 3295-3303, 2020 | 10 | 2020 |
Learning with noisy labels over imbalanced subpopulations M Chen, Y Zhao, B He, Z Han, J Huang, B Wu, J Yao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 6 | 2024 |
Spatial-temporal graph convolutional gated recurrent network for traffic forecasting L Zhao, M Chen, Y Du, H Yang, C Wang arXiv preprint arXiv:2210.02737, 2022 | 5 | 2022 |
A noisy-label-learning formulation for immune repertoire classification and disease-associated immune receptor sequence identification M Chen, Y Zhao, Z Wang, B He, J Yao Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 3 | 2023 |
Multi-source fully test-time adaptation Y Du, S Luo, Y Xin, M Chen, S Feng, M Zhang, C Wang Neural Networks 181, 106661, 2025 | 1 | 2025 |
Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework M Chen, C Wang Knowledge-Based Systems 302, 112325, 2024 | 1 | 2024 |
CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection S Feng, W Jiang, M Chen, Y Du, H Cheng, Y Ge, C Wang Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
CopGAT: Co-propagation Self-supervised Graph Attention Network B Zhang, M Xu, M Chen, M Chen, C Wang 2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2022 | 1 | 2022 |
LaplaceConfidence: A graph-based approach for learning with noisy labels M Chen, Y Du, W Tang, B Zhang, C Wang Intelligent Data Analysis, 1-17, 2023 | | 2023 |