Yizhou Zhang

PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks

When Splitting Makes Stronger: A Theoretical and Empirical Analysis of Divide-and-Conquer Prompting in LLMs

TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models

Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution