Mingcai Chen - RankMe

37 papers A* 11A 2Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. AAAI 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
2026	J	`jnl`	M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities? CoRR 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
2026	A*	`conf`	MultiFPT: Towards Multi-Attribute Fairness in Pre-Trained Graph Neural Networks via Prompt Tuning. WWW Meng Cao, Mingcai Chen, Shuangjie Li, Hualei Yu, Shuai Feng, Demin Gao
2026	J	`jnl`	Uncertainty and diversity based selection for active learning in vision-language models. Inf. Fusion Fan Yang, Kejun Ren, Jiahao Shen, Mingcai Chen, Yuntao Du
2025	J	`jnl`	Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. CoRR 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
2025	J	`jnl`	LaplaceConfidence: A graph-based approach for learning with noisy labels. Intell. Data Anal. Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang
2025	J	`jnl`	Learning With Noisy Labels Over Imbalanced Subpopulations. IEEE Trans. Neural Networks Learn. Syst. Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Junzhou Huang, Bingzhe Wu, Jianhua Yao
2025	J	`jnl`	Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning. CoRR Shuai Feng, Yuxin Ge, Yuntao Du, Mingcai Chen, Chongjun Wang, Lei Feng
2025	J	`jnl`	Multi-source fully test-time adaptation. Neural Networks Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang
2025	A*	`conf`	Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification. AAAI Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang
2025	J	`jnl`	Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification. CoRR Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang
2025	A*	`conf`	Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. AAAI Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang
2025	A*	`conf`	Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data. ICML Mingcai Chen, Baoming Zhang, Zongbo Han, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du, Bingkun Bao
2024	A*	`conf`	DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. ICLR Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
2024	J	`jnl`	Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. Mach. Learn. Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang
2024	J	`jnl`	Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework. Knowl. Based Syst. Mingcai Chen, Chongjun Wang
2024	A*	`conf`	V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS 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
2023	A	`conf`	A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. ECAI Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang
2023	A*	`conf`	A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. IJCAI Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao
2023	J	`jnl`	A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. CoRR Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao
2023	J	`jnl`	Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation. Trans. Mach. Learn. Res. Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, Chongjun Wang
2023	A	`conf`	CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. SDM Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang
2023	J	`jnl`	DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. CoRR Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
2023	—	`conf`	LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection. CollaborateCom (2) Shuwei Qian, Ming Guo, Zhicheng Fan, Mingcai Chen, Chongjun Wang
2023	J	`jnl`	LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang
2023	A*	`conf`	READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. AAAI Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang
2023	A*	`conf`	Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. AAAI Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang
2022	—	`conf`	CopGAT: Co-propagation Self-supervised Graph Attention Network. ISPA/BDCloud/SocialCom/SustainCom Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang
2022	J	`jnl`	Learning with Noisy Labels over Imbalanced Subpopulations. CoRR Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao
2022	J	`jnl`	READ: Aggregating Reconstruction Error into Out-of-distribution Detection. CoRR Wenyu Jiang, Hao Cheng, Mingcai Chen, Shuai Feng, Yuxin Ge, Chongjun Wang
2022	A*	`conf`	Semi-supervised Learning with Multi-Head Co-Training. AAAI Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
2022	J	`jnl`	Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting. CoRR Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang
2021	J	`jnl`	Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. CoRR Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang
2021	J	`jnl`	Semi-Supervised Learning with Multi-Head Co-Training. CoRR Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
2021	J	`jnl`	Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. CoRR Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang
2014	J	`jnl`	Modeling and Analysis for CPS Physical Entities Based on Spatio-Temporal Petri Net. J. Comput. Guangquan Zhang, Mingtai Zhang, Rongjie Yan, Mingcai Chen, Chengkai Xu, Yejing Li
2013	J	`jnl`	Modeling and Analyzing Method for CPS Software Architecture Energy Consumption. J. Softw. Guangquan Zhang, Kan Zhang, Xueyang Zhu, Mingcai Chen, Chengkai Xu, Yuzhen Shao