Ruizhong Qiu

rq5 AT illinois DOT edu
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I am a Ph.D. student in computer science (CS) at the University of Illinois Urbana–Champaign (UIUC), fortunately advised by Professor Hanghang Tong. Prior to this, I received an M.S. degree in CS at UIUC and a B.E. degree in operations research and a minor in statistics at Tsinghua University. My research interests lie broadly in machine learning (ML), with a current emphasis on theoretical foundations and methodological advances of language models and generative models.

Education

  • University of Illinois Urbana–Champaign | Siebel School of Computing and Data Science
    M.S. & Ph.D. in Computer Science, Fall 2022 – Spring 2027 (Expected)
    Advisor: Professor Hanghang Tong
  • Tsinghua University | Department of Industrial Engineering
    B.E. in Operations Research & Minor in Statistics, Fall 2018 – Spring 2022

Publications

Conference Papers
Workshop Papers
  • [OPT@NeurIPS 2025] FineAMP: Optimization-based automatic mixed precision quantization for efficient diffusion model inference
    Burak Bartan, Ruizhong Qiu, Rafael Esteves, Yuwei Ren, Weiliang Will Zeng, An Chen
    The 17th International OPT Workshop on Optimization for Machine Learning, 2025
  • [COML@NeurIPS 2025] FineAMP: Optimization-based automatic mixed precision quantization for efficient diffusion model inference
    Burak Bartan, Ruizhong Qiu, Rafael Esteves, Yuwei Ren, Weiliang Will Zeng, An Chen
    NeurIPS 2025 Workshop on Constrained Optimization for Machine Learning, 2025
  • [LLM-eval@NeurIPS 2025] Haystack engineering: Context engineering meets the long-context challenge in large language models
    Mufei Li, Dongqi Fu, Limei Wang, Si Zhang, Hanqing Zeng, Kaan Sancak, Ruizhong Qiu, Haoyu Peter Wang, Xiaoxin He, Xavier Bresson, Yinglong Xia, Chonglin Sun, Pan Li
    NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling, 2025
Preprints

* Equal contribution.

Experience

Work Experience
  • Meta AI | Part-Time Student Researcher
    Mixture-of-experts low-rank adapters for large language models, August 25 – December 12, 2025
    Mentors: Hanqing Zeng, Yinglong Xia
  • Meta AI | Research Scientist Intern
    Graph clustering for generative sequential recommendation, May 19 – August 15, 2025
    Mentors: Hanqing Zeng, Yinglong Xia
  • Qualcomm AI Research | Research Engineering Intern
    Mixed-precision quantization of large vision models, June 4 – August 9, 2024
    Mentors: Burak Bartan, Weiliang Will Zeng
  • Qualcomm AI Research | Research Engineering Intern
    Code generation with large language models, May 22 – August 4, 2023
    Mentor: Weiliang Will Zeng
Invited Talks
Academic Service

Awards