Mingcai Chen

According to our database, Mingcai Chen authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation.

Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, Chongjun Wang

Trans. Mach. Learn. Res., 2023

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels.

Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang

CoRR, 2023

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection.

Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei

CoRR, 2023

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection.

Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.

Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding.

Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection.

Shuwei Qian, Ming Guo, Zhicheng Fan, Mingcai Chen, Chongjun Wang

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

READ: Aggregating Reconstruction Error into Out-of-Distribution Detection.

Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise.

Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning with Noisy Labels over Imbalanced Subpopulations.

Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao

CoRR, 2022

Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting.

Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang

CoRR, 2022

CopGAT: Co-propagation Self-supervised Graph Attention Network.

Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Semi-supervised Learning with Multi-Head Co-Training.

Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation.

Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang

CoRR, 2021

2014

Modeling and Analysis for CPS Physical Entities Based on Spatio-Temporal Petri Net.

Guangquan Zhang, Mingtai Zhang, Rongjie Yan, Mingcai Chen, Chengkai Xu, Yejing Li

J. Comput., 2014

2013

Modeling and Analyzing Method for CPS Software Architecture Energy Consumption.

Guangquan Zhang, Kan Zhang, Xueyang Zhu, Mingcai Chen, Chengkai Xu, Yuzhen Shao

J. Softw., 2013