| 2026 | AAAI | In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback. | Mingye Zhu, Yi Liu, Zheren Fu, Quan Wang, Yongdong Zhang |
| 2025 | ICLR | On-the-fly Preference Alignment via Principle-Guided Decoding. | Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao |
| 2024 | ACL | LIRE: listwise reward enhancement for preference alignment. | Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao |
| 2024 | EMNLP | FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. | Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao |
| 2024 | WACV | TinyWT: A Large-Scale Wind Turbine Dataset of Satellite Images for Tiny Object Detection. | Mingye Zhu, Zhicheng Yang, Hang Zhou, Chen Du, Andy J. Y. Wong, Yibing Wei, Zhuo Deng, Mei Han, Jui-Hsin Lai |
| 2023 | AAAI | Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract). | Zhuo Deng, Yibing Wei, Mingye Zhu, Xueliang Wang, Junchi Zhou, Zhicheng Yang, Hang Zhou, Zhenjie Cao, Lan Ma, Mei Han, Jui-Hsin Lai |
| 2021 | UAI | Leveraging probabilistic circuits for nonparametric multi-output regression. | Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting |