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ORCIDMingcai Chen
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2020 – today
- 2025
[j6]Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang
:
Multi-source fully test-time adaptation. Neural Networks 181: 106661 (2025)- 2024
- [j5]Mingcai Chen, Chongjun Wang:
Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework. Knowl. Based Syst. 302: 112325 (2024) - [j4]Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang:
Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. Mach. Learn. 113(6): 3611-3631 (2024) - [c9]Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei:
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. ICLR 2024 - 2023
- [j3]Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, Chongjun Wang:
Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. AAAI 2023: 14765-14773 - [c7]Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang:
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. AAAI 2023: 14910-14918 - [c6]Shuwei Qian, Ming Guo, Zhicheng Fan, Mingcai Chen, Chongjun Wang:
LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection. CollaborateCom (2) 2023: 20-38 - [c5]Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang:
A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. ECAI 2023: 343-350 - [c4]Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao:
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. IJCAI 2023: 4739-4747 - [c3]Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang:
CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. SDM 2023: 262-270 - [i9]Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei:
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. CoRR abs/2306.02031 (2023) - [i8]Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao:
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. CoRR abs/2307.15934 (2023) - [i7]Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang:
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR abs/2307.16614 (2023) - 2022
- [c2]Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang:
Semi-supervised Learning with Multi-Head Co-Training. AAAI 2022: 6278-6286 - [c1]Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang:
CopGAT: Co-propagation Self-supervised Graph Attention Network. ISPA/BDCloud/SocialCom/SustainCom 2022: 18-25 - [i6]Wenyu Jiang, Hao Cheng, Mingcai Chen, Shuai Feng, Yuxin Ge, Chongjun Wang:
READ: Aggregating Reconstruction Error into Out-of-distribution Detection. CoRR abs/2206.07459 (2022) - [i5]Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang:
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting. CoRR abs/2210.02737 (2022) - [i4]Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao:
Learning with Noisy Labels over Imbalanced Subpopulations. CoRR abs/2211.08722 (2022) - 2021
- [i3]Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang:
Semi-Supervised Learning with Multi-Head Co-Training. CoRR abs/2107.04795 (2021) - [i2]Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang:
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. CoRR abs/2109.04015 (2021) - [i1]Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. CoRR abs/2112.02960 (2021)
2010 – 2019
- 2014
- [j2]Guangquan Zhang, Mingtai Zhang, Rongjie Yan, Mingcai Chen, Chengkai Xu, Yejing Li:
Modeling and Analysis for CPS Physical Entities Based on Spatio-Temporal Petri Net. J. Comput. 9(2): 499-505 (2014) - 2013
- [j1]Guangquan Zhang, Kan Zhang, Xueyang Zhu, Mingcai Chen, Chengkai Xu, Yuzhen Shao:
Modeling and Analyzing Method for CPS Software Architecture Energy Consumption. J. Softw. 8(11): 2974-2981 (2013)
Coauthor Index
aka: Chongjun Wang
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