On the Concavity of Consumption Function under Habit Formation
Published in Journal of Mathematical Economics, 2023
Theoretical analysis of consumption function concavity in economic models with habit formation.
Published in Journal of Mathematical Economics, 2023
Theoretical analysis of consumption function concavity in economic models with habit formation.
Published in ACM Transactions on Modeling and Computer Simulation, 2023
A neural network approach for learning to simulate sequentially generated data using Wasserstein training.
arXiv Preprint, 2024
A structured approach to diffusion models using mixture of Gaussians as prior distribution.
arXiv Preprint, 2024
A benchmark for evaluating Large Language Models on interactive data analysis tasks.
Under major revision at Operations Research, 2024
A diffusion model approach for generating heavy-tailed conditional distributions. Under major revision at Operations Research.
Published in Winter Simulation Conference (WSC), 2024
Using LLMs to assist experiment design through generative human-behavior agents.
Published in International Conference on Machine Learning (ICML), 2025
A novel approach for controllable symbolic music generation using diffusion models with fine-grained guidance.
Teaching Assistant, Peking University, 2022
Course: Microeconomics
Role: Teaching Assistant
Semester: Spring 2022
Institution: Peking University
Teaching Assistant, University of California, Berkeley, 2024
Course: INDENG 115 - Industrial and Commercial Data Systems
Role: Teaching Assistant
Semester: Fall 2024
Institution: University of California, Berkeley