Mingcai Chen

According to our database, Mingcai Chen authored at least 31 papers between 2013 and 2026.

Collaborative distances:

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

2026

M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities?

Ao Li, Jinghui Zhang, Luyu Li, Yuxiang Duan, Lang Gao, Mingcai Chen, Weijun Qin, Shaopeng Li, Fengxian Ji, Ning Liu, Lizhen Cui, Xiuying Chen, Yuntao Du

CoRR, January, 2026

Uncertainty and diversity based selection for active learning in vision-language models.

Fan Yang, Kejun Ren, Jiahao Shen, Mingcai Chen, Yuntao Du

Inf. Fusion, 2026

MultiFPT: Towards Multi-Attribute Fairness in Pre-Trained Graph Neural Networks via Prompt Tuning.

Meng Cao, Mingcai Chen, Shuangjie Li, Hualei Yu, Shuai Feng, Demin Gao

Proceedings of the ACM Web Conference 2026, 2026

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Yuntao Du, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Qian Li, Dongrui Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning.

Shuai Feng, Yuxin Ge, Yuntao Du, Mingcai Chen, Chongjun Wang, Lei Feng

CoRR, September, 2025

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du

CoRR, May, 2025

Learning With Noisy Labels Over Imbalanced Subpopulations.

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

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Multi-source fully test-time adaptation.

Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang

Neural Networks, 2025

LaplaceConfidence: A graph-based approach for learning with noisy labels.

Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang

Intell. Data Anal., 2025

Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data.

Mingcai Chen, Baoming Zhang, Zongbo Han, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du, Bingkun Bao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification.

Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Robust Logit Adjustment for Learning with Long-Tailed Noisy Data.

Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

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

Mach. Learn., June, 2024

Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework.

Mingcai Chen, Chongjun Wang

Knowl. Based Syst., 2024

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark.

Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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