[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%).
Industry Engagement:
Post-Doctoral Fellow (Machine Learning), Carnegie Mellon University, Aug 2022 - Aug 2023
My Research Interests
Machine Learning, Digital Media Forensics, and Computer Vision
hu968@purdue.edu
765-495-7711