I am a second-year PhD student (2023-) in the Department of Computer Science at University of Illinois at Chicago (UIC), supervised by Prof. Yan Yan. Prior to joining UIC, I spent a year at Illinois Institute of Technology. I hold both a bachelor’s and a master’s degree from Shanghai Jiao Tong University, where I was fortune to be advised by Prof. Junchi Yan. Additionally, I had a wonderful time working as a research intern with Prof. Anqi Liu and Prof. Anima Anandkumar at Caltech.

My research interests include Machine Learning Efficiency, Imbalanced Learning, and 3D vision. Most of the publications can be accessed here.

🔥 News

  • 2025.03:   1 paper accepted to CVPR 2025
  • 2024.11:   Serving as the web co-chair for ICMR 2025
  • 2024.06:   1 paper accepted to NeurIPS 2024

📝 Selected Publications

CVPR 2025
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Distilling Long-tailed Datasets

Zhenghao Zhao*, Haoxuan Wang*, Yuzhang Shang, Kai Wang, Yan Yan

Code

  • Pioneering work confronting biased dataset distillation.
NeurIPS 2024
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PTQ4DiT: Post-training Quantization for Diffusion Transformers

Junyi Wu*, Haoxuan Wang*, Yuzhang Shang, Mubarak Shah, Yan Yan

Code GitHub Repo stars

  • Pioneering work for DiT quantization.
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QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning

Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Junchi Yan, Yan Yan

Code GitHub Repo stars

  • Parameter efficient finetuning method for diffusion model quantization.
IJCAI 2023
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Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach

Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu and Junchi Yan

Project

  • A novel framework for learning calibrated uncertainties under domain shifts.

Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach, Haoxuan Wang, Junchi Yan

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation, Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan

🎖 Honors and Awards

  • 2021-22 First Award of SJTU scholarship
  • 2020.06 Graduation with honor, University Graduate Excellence Award of SJTU
  • 2019.11 First Award of Zhiyuan Research Program

📖 Educations

  • 2024.12 - current  PhD, University of Illinois at Chicago.
  • 2023.09 - 2024.12  PhD, Illinois Institute of Technology.
  • 2020.09 - 2023.03  Master, Shanghai Jiao Tong University.
  • 2016.09 - 2020.06  Undergraduate, IEEE Honor Class, Shanghai Jiao Tong University.