• Ph.D., Computer Science,  University at Buffalo, SUNY, 06/2022
  • M.A., Mathematics, University at Albany, SUNY, 06/2020
  • M.Eng., Software Engineering, University of Science and Technology of China, 04/2016

Awards & Honors

  • Outstanding Reviewer Award, Machine Intelligence Research, 2023
  • CSE Best PhD Dissertation (with a prize of $500), University at Buffalo, 2022

Professional Experience

  • Post-Doctoral Fellow (Machine Learning), Carnegie Mellon University, Aug 2022 - Aug 2023

Selected Publications

  • Google Scholar Profile

  • [IEEE TPAMI] Shu Hu, Xin Wang, Siwei Lyu. Rank-based Decomposable Losses in Machine Learning: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023, 7. (Impact Factor: 23.6).
  • [JMLR] Shu Hu, Yiming Ying, Xin Wang, and Siwei Lyu. Sum of Ranked Range Loss for Supervised Learning. Journal of Machine Learning Research. 2022, 4. (Impact Factor: 3.654).
  • [ICCV] Shu Hu, Lipeng Ke, Xin Wang, and Siwei Lyu. TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. International Conference on Computer Vision, Montreal, Canada, 2021, 10. (Acceptance rate 1617/6236≈25.9%).
  • [ICASSP] Shu Hu, Yuezun Li, Siwei Lyu. Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights. 46th IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Ontario, Canada, 2021, 1. (Acceptance rate 1734/3610≈48%).

  • [NeurIPS] Shu Hu, Yiming Ying, Xin Wang, and Siwei Lyu. Learning by minimizing the sum of ranked range. Thirty-fourth Conference on Neural Information Processing Systems, Montreal, QC, Canada, 2020, 9. (Acceptance rate 1900/9454≈20.07%).


Machine Learning, Digital Media Forensics, and Computer Vision