Mingcai Chen
Cited by
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Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation
Y Du, H Yang, M Chen, J Jiang, H Luo, C Wang
arXiv preprint arXiv:2109.04015, 2021
Semi-Supervised Learning with Multi-Head Co-Training
M Chen, Y Du, Y Zhang, S Qian, C Wang
arXiv preprint arXiv:2107.04795, 2021
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
arXiv preprint arXiv:2112.02960, 2021
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
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
W Jiang, H Cheng, M Chen, S Feng, Y Ge, C Wang
arXiv preprint arXiv:2206.07459, 2022
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
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
arXiv preprint arXiv:2307.15934, 2023
Learning with Noisy Labels over Imbalanced Subpopulations
MC Chen, Y Zhao, B He, Z Han, B Wu, J Yao
arXiv preprint arXiv:2211.08722, 2022
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
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels
M Chen, Y Du, W Tang, B Zhang, H Cheng, S Qian, C Wang
arXiv preprint arXiv:2307.16614, 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
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