| 2025 | ICML | Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models. | Tianjie Ju, Yi Hua, Hao Fei, Zhenyu Shao, Yubin Zheng, Haodong Zhao, Mong-Li Lee, Wynne Hsu, Zhuosheng Zhang, Gongshen Liu |
| 2025 | SMC | Fed-SHA: An Efficient Hyperparameter Optimization Approach for Federated Learning. | Yubin Zheng, Peng Tang, Xiheng Zhang, Yijie Hong, Weidong Qiu |
| 2024 | ACL | Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. | Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu |
| 2024 | IJCNN | Fine-Grained Contrastive Learning for Pulmonary Nodule Classification. | Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan |
| 2023 | ACL | Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts. | Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao, Gongshen Liu |
| 2023 | DASFAA | A Novel Deep Learning Framework for Interpretable Drug-Target Interaction Prediction with Attention and Multi-task Mechanism. | Yubin Zheng, Peng Tang, Weidong Qiu, Hao Wang, Jie Guo, Zheng Huang |