CV
Education
- Ph.D. in Operations Research, University of California, Berkeley, 2023 - Present
- Bachelor of Economics, Peking University, 2018 - 2022
- B.S. in Mathematics, Peking University, 2018 - 2022
Research Interests
Controllable Generative AI, Diffusion Models, Large Language Models, LLM Agent, Optimization, Stochastic Modeling, A/B Tests, Experiment Design
Professional Experience
- Quantitative Researcher (Full-time), Optiver, Sep 2022 - Jul 2023
- Developed medium-frequency trading and execution strategies for convertible bonds
- Designed and implemented stock index and ETF trading systems
- Software Development Intern, Shanghai Aizeer Information Technology Co., Ltd., May 2024 - Aug 2024
- Developed real-time driving state recognition algorithm based on iPhone sensors
- Developed generative AI model for controllable symbolic music generation
Skills
- Programming Languages: Python, C/C++
- Deep Learning Frameworks: PyTorch, TensorFlow
- Data Systems: SQL
Publications
Learning to Generate Heavy-tailed Conditional Distribution via Diffusion Model
H. Liu, T. Zhu, J. He, Z. Zheng. (2024). "Learning to Generate Heavy-tailed Conditional Distribution via Diffusion Model." Under major revision at Operations Research.
IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis
H. Li, H. Liu, T. Zhu, T. Guo, Z. Zheng, X. Deng, M. Jordan. (2024). "IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis." arXiv preprint.
Teaching
Awards
- IEOR First Year Faculty Fellowship, 2024
- National Scholarship (highest honor for college students in China), 2021
- May 4th Scholarship (highest honor at Peking University), 2019 & 2020
- First Prize in National Mathematics Competition (top 1% in Beijing), 2019 & 2020
- First Place in “Challenge Cup” Competition of Peking University, 2019 & 2020
- Merit Student Pacesetter (highest individual honor award), 2020