About me

I am a PhD student at Sydney Artificial Intelligence Centre, The University of Sydney, primarily advised by Prof. Tongliang Liu. I am also receiving valuable advice from Prof. Lei Feng of Singapore University of Technology and Design. I regularly serve as a reviewer for ICLR, NeurIPS, UAI, AISTATS, ACM MM, etc.

Lately, my primary focus has been on “Generalization in Deep Learning within Constrained Environments.” All my work is dedicated to promoting machine learning models that can effectively and efficiently generalize on large-scale, imperfect data, breaking through data bottlenecks in machine learning. I have always been fascinated by the quest to understand the interpretability of artificial neural networks and the human brain.

Selected Publications

  • Early Stopping Against Label Noise Without Validation Data.

    S. Yuan, L. Feng, and T. Liu. In ICLR 2024. [PDF] [CODE]

  • Late Stopping: Avoiding Confidently Learning from Mislabeled Examples.

    S. Yuan, L. Feng, and T. Liu. In ICCV 2023. [PDF] [CODE]

Educations

  • 2022.09 - now, PhD student, School of Computer Science, The University of Sydney.
  • 2018.09 - 2022.06, Undergraduate, School of Computer Science, Chongqing University.

Honors and Awards

  • 2020.10 China Youth Science and Technology Innovation Award.
  • 2020.05 Chongqing University Youth May·Fourth Medal.
  • 2017.06 China High Shcool Biology Olympiad, First Prize, ranked 12th.