| 2026 | CHI | When to Explain: Modeling User Need for Explanations in Real-World Autonomous Driving. | Shihong Ling, Yaohan Ding, Yu Liu, Yue Wan, Xiaowei Jia, Na Du |
| 2025 | ACL | Unveiling Confirmation Bias in Chain-of-Thought Reasoning. | Yue Wan, Xiaowei Jia, Xiang Lorraine Li |
| 2025 | IROS | DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving Scenarios. | Shihong Ling, Yue Wan, Xiaowei Jia, Na Du |
| 2024 | HRI | Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles. | Shihong Ling, Yue Wan, Xiaowei Jia, Na Du |
| 2023 | IJCAI | CGS: Coupled Growth and Survival Model with Cohort Fairness. | Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia |
| 2022 | ICML | Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer. | Yue Wan, Chang-Yu Hsieh, Ben Liao, Shengyu Zhang |
| 2022 | IWCMC | Transfer Learning-Driven Intrusion Detection for Internet of Vehicles (IoV). | Yazan Otoum, Yue Wan, Amiya Nayak |
| 2021 | GLOBECOM | Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT). | Yazan Otoum, Yue Wan, Amiya Nayak |