Mingcai Chen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Domain Adaptation

Supervised Learning

Top Venues

Publications

Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. ICLR (2024)
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) (2024)
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 (2023)
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 (2023)
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)
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)
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)
Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. CoRR (2023)
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)
Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang
A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. ECAI (2023)
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)
Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. AAAI (2023)
Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
Semi-supervised Learning with Multi-Head Co-Training. AAAI (2022)
Wenyu Jiang, Hao Cheng, Mingcai Chen, Shuai Feng, Yuxin Ge, Chongjun Wang
READ: Aggregating Reconstruction Error into Out-of-distribution Detection. CoRR (2022)
Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao
Learning with Noisy Labels over Imbalanced Subpopulations. CoRR (2022)
Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang
CopGAT: Co-propagation Self-supervised Graph Attention Network. ISPA/BDCloud/SocialCom/SustainCom (2022)
Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting. CoRR (2022)
Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
Semi-Supervised Learning with Multi-Head Co-Training. CoRR (2021)
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 (2021)
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 (2021)
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) (2014)
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) (2013)