Yu-Hsiang Wang

uiuc_photo.png

email: yw121 (at)

illinois (dot) edu

I’m a Ph.D. candidate in Electrical & Computer Engineering at University of Illinois Urbana-Champaign, where I work with Prof. Olgica Milenkovic. Previously, I obtained my bachelor degree in Electrical Engineering at National Taiwan University.

My research focuses on generative models across diverse data modalities, including time series, graphs, and images. More recently, I have been working on rare event sampling, with applications such as transition path sampling in molecular dynamics.

publications

2026

  1. Transition Path Sampling Using Koopman Operators and Exit-Time Optimal Control
    Boya Hou*, Yu-Hsiang Wang*, Siddharth Ambekar, and 2 more authors
    In submission
    arXiv
  2. WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation
    Yu-Hsiang Wang, and Olgica Milenkovic
    TMLR
    arXiv Code

2025

  1. DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
    Peizhi Niu, Yu-Hsiang Wang, Vishal Rana, and 3 more authors
    NeurIPS 2025
    arXiv Code

2024

  1. CLUE: Concept-Level Uncertainty Estimation for Large Language Models
    Yu-Hsiang Wang, Andrew Bai, Che-Ping Tsai, and 1 more author
    NeurIPS 2024 SFLLM Workshop
    arXiv