Zhuorui Ye

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Yao Class 13, Tsinghua University

cuizhuyefei at gmail dot com

I am Zhourui Ye, a junior-year undergraduate student majoring in Computer Science and Technology at IIIS, Tsinghua University (a.k.a. Yao Class, directed by Andrew Chi-Chih Yao).

My research interests broadly spread in machine learning. Recently, I am interested in 1) enhancing the intelligence of multi-agent system with techniques of RL and LLM 2) helping humans better communicate with complex ML models 3) understanding phenomenon and mechanisms behind current models to inspire improved techniques. Besides, I also enjoy applying and developing AI techniques to solve real-world challenges with societal significance.

I am a visiting intern in Professor Fei Fang’s group in CMU, also in collaboration with Professor Geoffrey J. Gordon and Professor Lei Li. Previously, I worked with Professor Farzan Farnia in Chinese University of Hong Kong, and Professor Li Yi in Tsinghua University. I really appreciate the opportunities to work with all of my kind and amazing collaborators.

Selected Publications

  1. Under Review
    Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels
    Zhuorui Ye*, Stephanie Milani*, Geoffrey J. Gordon, and Fei Fang
    2024
    Submitted to NeurIPS 2024
  2. Under Review
    On the Trade-Off between Stability and Fidelity of Gaussian-Smoothed Saliency Maps
    Zhuorui Ye, and Farzan Farnia
    2024
    Submitted to NeurIPS 2024
  3. Under Review
    Sing it, Narrate it: Quality Musical Lyrics Translation
    Zhuorui Ye*, Jinhan Li*, and Rongwu Xu
    2024
    Submitted to EMNLP 2024
  4. Under Review
    Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models
    Danqing Wang, Zhuorui Ye, Fei Fang, and Lei Li
    2024
    Submitted to EMNLP 2024
  5. AAAI 2024
    Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence
    Zifan Wang*, Zhuorui Ye*, Haoran Wu*, Junyu Chen, and Li Yi
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2024