Hao Fang (方 豪)

Master student at SIGS, Tsinghua University, Shenzhen, China

Hao Fang

2-year Master degree candidate

Address: SIGS, Tsinghua University, Shenzhen, Guangdong Province, China

Research Interest: Trustworthy AI, Computer Vision, Gradient Compression

Lab: ITML, SIGS, Tsinghua University

E-mail: fang-h23@mails.tsinghua.edu.cn

Biography

I am a second-year master's student in the ITML lab in the SIGS, Tsinghua University, supervised by Prof.Bin-Chen and Prof.Shu-Tao Xia. I received my B.S. degree in Computer Science and Technology from Harbin Institute of Technology, Shenzhen in 2023. My research interests include Trustworthy AI, Generative Models, and Foundation Models.
And I enjoy playing basketball and doing some workouts in my spare time!

Received Honors

Fang has received many honors as follows (but not limited to):

  • Chinese National Scholarship for Undergraduate Students Top 1.5%
  • First class scholarship * 3 Top 5%
  • GongJin scholarship Top 1.85%
  • Fang Binxing Scholarship
  • Excellent Student Model 0.3%
  • Outstanding Student Award for Scientific Research Commendation of Guangdong Provincial Key Laboratory
  • Provincial First Prize in the Blue Bridge Cup Program Competition
  • The second prize of the 17th National University Student Smart Car Competition in China Southern District
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    Publication

  • Hao Fang, Bin Chen#, Xuan Wang, Zhi Wang, Shu-Tao Xia, GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization, International Conference on Computer Vision 2023 (ICCV-23), accepted. (CCF A, TsinghuaCS: A). paper, code.
  • Hao Fang, Jiawei Kong, Bin Chen#, Tao Dai, Hao Wu, Shu-Tao Xia, CLIP-Guided Networks for Transferable Targeted Attacks, European Conference on Computer Vision 2024 (ECCV-24), accepted. (CCF B, TsinghuaCS: A). paper, code.
  • Yixiang Qiu, Hao Fang (co-first author), Hongyao Yu, Bin Chen#, Meikang Qiu, Shu-Tao Xia, A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks, European Conference on Computer Vision 2024 (ECCV-24 Oral), accepted. (CCF B, TsinghuaCS: A). paper, code.

    • Service

  • Reviewer for IJCAI 2024
  • Reviewer for IEEE Transactions on Medical Imaging 2024
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