| 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 | PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. | Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo |
| 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 | ICCV | BATCLIP: Bimodal Online Test-Time Adaptation for CLIP. | Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogrio Feris, Yunhui Guo |
| 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 | ICASSP | Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation. | Shuangjie Li, Baoming Zhang, Jianqing Song, Yifan Xia, Junyuan Xie, Chongjun Wang |
| 2023 | DASFAA | FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction. | Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang |
| 2022 | APWEB | NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. | Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang |
| 2022 | IPCCC | LSEGNN: Encode Local Topology Structure in Graph Neural Networks. | Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang |
| 2022 | ISPA | CopGAT: Co-propagation Self-supervised Graph Attention Network. | Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang |
| 2021 | ISPA | EPINE: Enhanced Proximity Information Network Embedding. | Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang |
| 2021 | ISPA | QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. | Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang |
| 2021 | ISPA | Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. | Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang |