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Yuanzhe Liu 刘元喆

Ph.D. Student
Rensselaer Polytechnic Institute
liuy72@rpi.edu


About Me

I am a first year Ph.D. student in Computer Science at Rensselaer Polytechnic Institute, where I am fortunate to be advised by Prof. Yao Ma, previously advised by Ziniu Hu.

Prior to that, I obtained my master’s degree in computer science from Courant Institute of Mathematics at New York University. I received my CS, Mathematics and Piano Performace Bachelor degree from Oberlin College and Conservatory, fortunate to be advised by Prof. Sam Taggart (CS) and Prof. Peter Takács (Piano).

Feel free to check out my solo piano performance.

Research Interests

Large Language Model for Code Optimization.

(Controllable and Interactive) Generative Models (autoregressive, diffusion and others), especially for creative art and music, with the goal of facilitating artists and composers with AI models. In the past, I did research on approximation theory and economic game theory

Teaching Experience

Publications

  1. PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
    Jonathan Light, Sixue Xing, Yuanzhe Liu*, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu
    NeurIPS 2024 Language Gamification Workshop
    PDF

  2. Fastcoder: Building AI Code Optimizer via Orchestrated Data Construction and Evaluation
    Tim Kaler, Ryan Deng, Yuanzhe Liu*, Xuhao Chen, Yao Ma, Charles Leiserson, Jie Chen
    Under Review

  3. Dataset distillation for offline reinforcement learning
    Jonathan Light*, Yuanzhe Liu*, Ziniu Hu
    ICML 2024 Workshop DMLR
    PDF Code Project Page

  4. Symbolic Music Generation with Non-Differentiable Rule-Guided Diffusion
    Yujia Huang, Adishree Ghatare, Yuanzhe Liu*, Ziniu Hu, Qinsheng Zhang, Chandramouli Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue
    International Conference on Machine Learning ( ICML 2024, Oral Presentation)
    PDF Code Project Page

  5. Automated Detection and Segmentation of Internal Carotid Artery Calcifications on CBCT Images Using Deep Neural Networks
    C. Qiang, A.V. Keenan, Y. Liu*, Y. Kou, S. Khurana
    International Associate For Dental, Oral, and Craniofacial Research IADR, 2024
    Abstract Presentation

  6. Algorithmic Delegation
    Ali Khodabakhsh, Yuanzhe Liu*, Emmanouil Pountourakis, Samuel Taggart, Yichi Zhang
    PDF Previous Version (2018)

Services

Conference Volunteer

Contact

Email: liuy72@rpi.edu

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