| 2026 | AAAI | 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 |
| 2026 | WWW | 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 |
| 2025 | AAAI | Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. | Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang |
| 2025 | AAAI | 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 |
| 2025 | ICML | 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 |
| 2024 | ICLR | DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. | Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei |
| 2023 | AAAI | 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 |
| 2023 | AAAI | READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. | Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang |
| 2023 | ECAI | A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. | Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang |
| 2023 | IJCAI | 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 |
| 2023 | SDM | 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 |
| 2022 | AAAI | Semi-supervised Learning with Multi-Head Co-Training. | Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang |
| 2022 | ISPA | CopGAT: Co-propagation Self-supervised Graph Attention Network. | Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang |