| 2026 | EACL | Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations. | Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani |
| 2026 | EACL | Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection. | Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani |
| 2025 | ACL | Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. | Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani |
| 2025 | IJCNLP | On the Convergence of Moral Self-Correction in Large Language Models. | Guangliang Liu, Haitao Mao, Bochuan Cao, Xitong Zhang, Zhiyu Xue, Rongrong Wang, Kristen Marie Johnson |
| 2024 | ACL | Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. | Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Marie Johnson |
| 2024 | CVPR | Initialization Matters for Adversarial Transfer Learning. | Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin |
| 2023 | EMNLP | PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent. | Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Marie Johnson, Rongrong Wang |
| 2023 | SDM | Group AdaBoost with Fairness Constraint. | Zhiyu Xue |
| 2021 | IJCAI | Differentially Private Pairwise Learning Revisited. | Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang |
| 2020 | CVPR | Relative Position and Map Networks in Few-shot Learning for Image Classification. | Zhiyu Xue, Zhenshan Xie, Zheng Xing, Lixin Duan |