Tangqi Fang


Ph.D. Student
Paul G. Allen School of Computer Science & Engineering
University of Washington, Seattle
Email: fangtq [at] cs.washington.edu
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About

I am a Ph.D. student at the University of Washington, supervised by Prof. Sheng Wang. I finished my bachelor of engineering at IIIS(Yao class), Tsinghua University. My current research focuses on AI for biology/medicine and explores the combination of ML technologies and biological/medical data, especially in dealing with large-scale, multi-modality data. I am passionate about creating models that are strongly linked with real applications and/or meaningful insights.


Publications

Capricorn


Enhancing Hi-C contact matrices for loop detection with Capricorn, a multi-view diffusion model.

Tangqi Fang*, Yifeng Liu*, Addie Woicik*, Minsi Lu, Anupama Jha, Xiao Wang, Gang Li, Borislav Hristov, Zixuan Liu, Hanwen Xu, William S. Noble, Sheng Wang

32nd Conference on Intelligent Systems for Molecular Biology.
[Paper]  [Code


Selected Awards

  • CSE Educator’s Endowed Fellowship, Paul G. Allen School, 2024.
  • Academic Excellence Award, Tsinghua University, 2023.
  • Comprehensive Excellence Award, Tsinghua University, 2022.
  • 2021 CCPC Finals Gold Medal, 2022.
  • 2021 ICPC Asia East Continent Final Contest Gold Medal, 2022.
  • 2021 ICPC Asia Macau Regional Contest Gold Medal, 2022.
  • 2021 ICPC Asia Jinan Regional Contest Gold Medal, 2022.
  • 2019 National Olympiad in Informatics Gold Medal, 2019.

Tangqi Fang Last updated: November, 2024