Mingye Zhu

18 papers A* 4A 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents.
CoRR
Yuxin Liu, Mingye Zhu, Siyuan Liu, Bo Hu, Lei Zhang
2026 A* conf
In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback.
AAAI
Mingye Zhu, Yi Liu, Zheren Fu, Quan Wang, Yongdong Zhang
2025 J jnl
In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback.
CoRR
Mingye Zhu, Yi Liu, Zheren Fu, Quan Wang, Yongdong Zhang
2025 J jnl
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models.
CoRR
Yi Liu, Dianqing Liu, Mingye Zhu, Junbo Guo, Yongdong Zhang, Zhendong Mao
2025 J jnl
Leveraging Robust Optimization for LLM Alignment under Distribution Shifts.
CoRR
Mingye Zhu, Yi Liu, Junbo Guo, Quan Wang, Yong-Dong Zhang, Zhendong Mao
2025 A* conf
On-the-fly Preference Alignment via Principle-Guided Decoding.
ICLR
Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao
2025 J jnl
On-the-fly Preference Alignment via Principle-Guided Decoding.
CoRR
Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao
2024 A* conf
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization.
EMNLP
Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao
2024 J jnl
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization.
CoRR
Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao
2024 — conf
LIRE: listwise reward enhancement for preference alignment.
ACL (Findings)
Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao
2024 J jnl
LIRE: listwise reward enhancement for preference alignment.
CoRR
Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao
2024 — conf
TinyWT: A Large-Scale Wind Turbine Dataset of Satellite Images for Tiny Object Detection.
WACV (Workshops)
Mingye Zhu, Zhicheng Yang, Hang Zhou, Chen Du, Andy J. Y. Wong, Yibing Wei, Zhuo Deng, Mei Han, Jui-Hsin Lai
2023 A* conf
Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract).
AAAI
Zhuo Deng, Yibing Wei, Mingye Zhu, Xueliang Wang, Junchi Zhou, Zhicheng Yang, Hang Zhou, Zhenjie Cao, Lan Ma, Mei Han, Jui-Hsin Lai
2023 — conf
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge.
ICME Workshops
Zepeng Liu, Zhicheng Yang, Mingye Zhu, Andy Wong, Yibing Wei, Mei Han, Jun Yu, Jui-Hsin Lai
2023 J jnl
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge.
CoRR
Zepeng Liu, Zhicheng Yang, Mingye Zhu, Andy Wong, Yibing Wei, Mei Han, Jun Yu, Jui-Hsin Lai
2021 J jnl
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression.
CoRR
Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
2021 A conf
Leveraging probabilistic circuits for nonparametric multi-output regression.
UAI
Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
2019 — conf
A New Approximation of e.
ICVISP
Mingye Zhu