Yuqing Wang

I am a second-year PhD student in Computer Science at the University of Illinois Urbana-Champaign (UIUC), where I have the privilege of being advised by Professor Minh Do. Prior to joining UIUC, I earned my Bachelor degree in Computer Science and Technology from Tsinghua University, where I was part of the IIIS Yao Class.

My research lies at the intersection of theory and real-world machine learning applications. I focus on multimodal learning, representation learning, and spatio-temporal models. On the theoretical side, I study multimodal alignment and representation learning, while on the application side I work on geospatial foundation models and medical imaging.


Publications

  • Yuqing Wang*, Hangke Sui*, Minh N. Do. UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels. ICLR 2026 (accepted).
  • Yuqing Wang*, Guoding Liu*, Zhenhuan Liu, Yifan Tang, Xiongfeng Ma, Hao Dai. Robust estimation of nonlinear properties of quantum processes. Physical Review A, 2024.

Research Experience

Graduate Research Assistant

University of Illinois Urbana-Champaign
  • Multimodal Representation Learning: Developed a unified theoretical framework for contrastive alignment with an analytical solution. UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels (ICLR 2026, accepted).
  • Spatio-temporal Foundation Models: Developing scalable foundation models for geospatial data and benchmarks. (Under review / in preparation)
  • Trustworthy Machine Learning: Developing verification techniques for recurrent neural networks in collaboration with Prof. Huan Zhang. (In progress)
2024 – Present

Undergraduate Research Assistant

Tsinghua University

Undergraduate Research Intern

Carnegie Mellon University

Education

University of Illinois Urbana-Champaign

PhD student in Computer Science

Advisor: Professor Minh Do

August 2024 - Present

Tsinghua University

IIIS, Yao Class
Bachelor of Engineering in Computer Science and Technology
August 2020 - June 2024