Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Tingyu Zhu
Archive Layout with Content
Posts by Category
Posts by Collection
CV
CV
Markdown
Page not in menu
Page Archive
Piano
Portfolio
Publications
Sitemap
Posts by Tags
Talk map
Talks and presentations
Teaching
Terms and Privacy Policy
Blog posts
Jupyter notebook markdown generator
Posts
portfolio
publications
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training
Tingyu Zhu, Haoyu Liu, Zeyu Zheng
ACM Transactions on Modeling and Computer Simulation, 2023 [Paper]
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation
Yufeng Zheng, Zeyu Zheng, Tingyu Zhu (in alphabetical order)
Operations Research, 2023 [arXiv]
Best Arm Identification with Fairness Constraints on Subpopulations
Yuhang Wu, Zeyu Zheng, Tingyu Zhu (in alphabetical order)
Winter Simulation Conference (WSC), 2023 [arXiv]
A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation
Jinghai He, Haoyu Liu, Yuhang Wu, Zeyu Zheng, Tingyu Zhu (in alphabetical order)
Winter Simulation Conference (WSC), 2024 [Paper]
Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents
Haoyu Liu, Yifu Tang, Zizhao Zhang, Zeyu Zheng, Tingyu Zhu (equal contribution, in alphabetical order)
Winter Simulation Conference (WSC), 2024 [Paper]
Efficient Fine-Grained Guidance for Diffusion-Based Symbolic Music Generation
Tingyu Zhu*, Haoyu Liu*, Ziyu Wang, Zhimin Jiang, Zeyu Zheng (*co-first author)
International Conference on Machine Learning (ICML), 2025 [Paper]
IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis
Hanyu Li*, Haoyu Liu*, Tingyu Zhu*, Tianyu Guo*, Zeyu Zheng, Xiaotie Deng, Michael I. Jordan (*co-first author)
arXiv Preprint, 2025 [arXiv]
Learning to Simulate from Heavy-Tailed Distribution via Diffusion Model
Tingyu Zhu*, Haoyu Liu*, Nanshan Jia, Jinghai He, Zeyu Zheng (*co-first author)
Operations Research, 2026 [Paper]
ResiliBench: Evaluating Agentic Workflow Adaptation in Stochastic Environments
Ruicheng Ao*, Zeping Min*, Tingyu Zhu*, Wotao Yin, Xinshang Wang (*co-first author)
International Conference on Learning Representations (ICLR), 2026
Selection of the Best Policy under Fairness Constraints
Tingyu Zhu, Yuhang Wu, Zeyu Zheng
Submitted to Operations Research, 2026 [arXiv]
Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane
Haoyu Liu, Sucheng Ren, Tingyu Zhu, Peng Wang, Cihang Xie, Alan Yuille, Zeyu Zheng, Feng Wang
International Conference on Machine Learning (ICML), 2026 [arXiv]
Stating Requirements Is Not Enough: A Stochastic Framework for Open-Ended Work with LLMs
Tingyu Zhu, Zeyu Zheng
Submitted to Operations Research, 2026
Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties
Jixuan Ying, Haoyu Liu, Timing Yang, Tingyu Zhu, Predrag Neskovic, Anand Bhattad, Cihang Xie, Zeyu Zheng, Alan Yuille, Feng Wang
Conference on Neural Information Processing Systems (NeurIPS), 2026
talks
teaching
Microeconomics
Teaching Assistant, Peking University, 2022
INDENG 115: Industrial and Commercial Data Systems
Graduate Student Instructor, University of California, Berkeley, 2024