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Rui Yang

Eng.D. Student


ruiyang@miralab.ai

Interests

  • Motion Planning in Autonomous Driving
  • Reinforcement Learning

Education

  • B.S., Electronic Information Science and Technology, 2019

    Hefei University of Technology

About me

I am an Eng.D. candidate in USTC, advised by Prof. Jie Wang. My research interests include reinforcement learning in machine learning and motion planning in autonomous driving.

Experience

  • Elite Intern at DiDi Voyager, 06/2022 -

Publications

Ruibo Guo, Rui Yang, Lei Liu, Junjie Shen, Guoping Wu, Jie Wang, Bin Li. Tackling Heavy-Tailed Q-Value Bias in Offline-to-Online Reinforcement Learning with Laplace-Robust Modeling. ICLR 2026.

Rui Yang, Jie Wang, Qijie Peng, Ruibo Guo, Guoping Wu, Bin Li. Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning. ICLR 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.

Rui Yang, Jie Wang, Guoping Wu, Bin Li. Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions. NeurIPS 2024.

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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