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Mingxuan Ye

PhD Student


mingxuanye@miralab.ai, mingxuanye@mail.ustc.edu.cn

Interests

  • Learning to Optimize
  • Reinforcement Learning

Education

  • B.S., Information and Computational Science, 2022

    Nanjing University

About me

I am currently a PhD student in USTC. I am fortunate to be co-advised by Prof. Jie Wang and Prof. Feng Wu. My research interest has been focused on learning to optimize and reinforcement learning.

Awards

  • Huawei Scholarship, 2020
  • First Prize of Academic Scholarship of Department of Mathematics, Nanjing University, 2020-2021
  • First Prize of Academic Scholarship of Department of Mathematics, Nanjing University, 2019-2020
  • Second Prize of Merchants One-Card Scholarship, 2019
  • National College Students Mathematics Competition (Mathematics), second prize of Jiangsu Province, 2019
  • National College Students Mathematical Contest in Modeling, third prize of Jiangsu Province, 2020

Publications

Mingxuan Ye, Jie Wang, Fangzhou Zhu, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye Hao, Feng Wu. Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph. NeurIPS 2025.

Jie Wang, Mingxuan Ye, Yufei Kuang, Rui Yang, Wengang Zhou, Houqiang Li, Feng Wu. Long-term Feature Extraction via Frequency Prediction for Efficient Reinforcement Learning. TPAMI.

Mingxuan Ye, Yufei Kuang, Jie Wang, Rui Yang, Wengang Zhou, Houqiang Li, Feng Wu. State Sequences Prediction via Fourier Transform for Representation Learning (Spotlight). NeurIPS 2023.

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Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu. Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. KDD 2022.

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