Zhuoheng Li

Zhuoheng Li

University of Michigan

I am Zhuoheng Li, and I am currently a senior student at the University of Michigan, Ann Arbor.

I am pursuing a dual degree program through the Shanghai Jiao Tong University and the University of Michigan Joint Institute. Upon graduation, I will hold a Bachelor of Electrical and Computer Engineering from SJTU and a Bachelor of Science in Computer Science with a Minor in Mathematics from Umich. I have conducted several researches under the guidance of Professors Zhenhui Li, Guanjie Zheng, Yi Shi, Zhuoran Song, and Justin Kasper.

My research interests encompass AI for Science, Data Mining, and Large Language Models.

📝 Papers

  • DARK: Denoising, Amplification, and Restoration Kit (Low-light enhancement), 2024
    Zhuoheng Li, Yuheng Pan, Houcheng Yu, Zhiheng Zhang

    arXiv Preprint. Code | arXiv

  • What can LLM tell us about cities?, 2024
    Zhuoheng Li, Zhixue Song, Yuqi Huang, Yaochen Wang, Rui Bao, Guanjie Zheng, Zhenhui Jessie Li

    In Review, AAAI 2025.

🎖 Honors and Awards

  • 2023 FA Dean’s Honor List at the University of Michigan.
  • 2022.11 SJTU Undergraduate Excellent Scholarship. (Class B)
  • 2021.09 Outstanding Graduate of Shanghai High School.

📖 Educations

  • University of Michigan, Bachelor of Science, Computer Science, Minor in Mathematics, 2023 - 2025.
  • Shanghai Jiaotong University, Bachelor of Electrical and Computer Engineering, 2021 - 2023.
  • Shanghai High School, Outstanding Graduate, 2018 - 2021.

💼 Internships

  • 2024 May-August, IT and Business Analytics Intern @ Innovac Therapeutics, Boston, MA.
  • 2024 June-August, Research Assistant @ Hangzhou Yunqi Academy of Engineering, Hangzhou, China.

💻 Research Experience

  • Cloud Gaming Platform with AI Integration (PRP) @ SJTU, 2021-2022
    Developed a cloud gaming platform with high-quality rendering. Utilized ffmpeg and YOLO to reduce rendering latency. Collaborated with a team to optimize sensory performance, achieving a smooth gaming experience.

  • Time Series Forecasting with Machine Learning, 2023
    Predicted future sales data using the XGBoost model. Conducted data preprocessing, feature engineering, and parameter optimization for accurate predictions.

  • Mathematical Contest in Modeling (MCM), 2023
    Developed optimization models using Linear Integer Programming and conducted TOPSIS analysis for strategy selection.

  • Multidisciplinary Design Program (MDP), 2024
    Developed a transient array detection system and implemented a machine learning classification method for burst signals in the ground array of the SunRISE project.

  • AI Behavioral Science (Forseer Group), 2024
    Conducted research on the application of LLMs in behavioral science, focusing on understanding AI behaviors and how AI can be used to understand human behaviors.

🎓 Certificates

  • Google Analytics, 2024.5
    Set up a Google Analytics 4 property, collected key business data, and reported insights. View The Certificate