CV
Tingyu Zhu
Summary
Ph.D. Candidate in Operations Research at UC Berkeley, with minors in math and machine learning.
Education
- Ph.D. in Operations Research (with minors in math and machine learning)2027 (expected)University of California, Berkeley
- M.S. in Operations Research2023University of California, Berkeley
- B.S. in Mathematics and Applied Mathematics2022Peking University
Work Experience
- AI Agent Research Intern2025-06-01 -Alibaba DAMO AcademyDesigned and implemented a self-correcting AI Agent framework for structured data transformation. Optimized agent workflow documentation, reducing prompt and output volume by 70-80%.
- Software Development Intern2024-05-01 - 2024-08-31Shanghai Aizeer Information Technology Co., Ltd.Developed real-time driving state recognition algorithm based on iPhone sensors. Developed generative AI model for controllable symbolic music generation.
- Graduate Student Researcher2022-09-01 -University of California, BerkeleyResearch on heavy-tailed conditional generation via diffusion models, constrained sequential experiments, and stochastic modeling via GANs.
Skills
Programming Languages
- Python
- C/C++
- MATLAB
- SQL
Developer Tools
- PyTorch
- Git
- Docker
- AMPL
- Max/MSP
Publications
- Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties2026NeurIPS 2026J. Ying, H. Liu, T. Yang, T. Zhu, P. Neskovic, A. Bhattad, C. Xie, Z. Zheng, A. Yuille, F. Wang
- Learning to Simulate from Heavy-Tailed Distribution via Diffusion Model2026
- ResiliBench: Evaluating Agentic Workflow Adaptation in Stochastic Environments2026
- Efficient Fine-Grained Guidance for Diffusion-Based Symbolic Music Generation2025
- A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation2023
- Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training2023
- Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents2024WSC 2024H. Liu, Y. Tang, Z. Zhang, Z. Zheng, T. Zhu (equal contribution, in alphabetical order)
- A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation2024
- Best Arm Identification with Fairness Constraints on Subpopulations2023
- Stating Requirements Is Not Enough: A Stochastic Framework for Open-Ended Work with LLMs2026
- Selection of the Best Policy under Fairness Constraints2026
- Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane2026
- IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis2025arXiv PreprintH. Li†, H. Liu†, T. Zhu†, T. Guo†, Z. Zheng, X. Deng, M. I. Jordan (co-first author)
Teaching
- INDENG 115 - Industrial and Commercial Data Systems2024University of California, BerkeleyRole: Graduate Student InstructorFall 2024
- Microeconomics2022Peking UniversityRole: Teaching AssistantSpring 2022