About me

I am a final-year PhD candidate at Sydney Artificial Intelligence Centre, The University of Sydney, advised by Prof. Tongliang Liu. I am also receiving valuable advice from Prof. Lei Feng. I regularly serve as a reviewer for ICLR, ICML, NeurIPS, TPAMI, and others.

Currently, I am visiting Singapore, serving as a Research Officer at A*STAR CFAR and collaborating with Prof. Ivor Tsang and Dr. Xingrui Yu.

My primary focus has been on “Overfitting in Modern Deep Learning”. At present, most of my works are dedicated to promoting machine learning models that can effectively and efficiently generalize on large-scale, imperfect data, breaking through data bottlenecks. I welcome collaboration opportunities across all areas. I am actively exploring postdoctoral research opportunities.

Selected Publications

  • Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples.

    Suqin Yuan, Lei Feng, Bo Han, and Tongliang Liu.

    Advances in Neural Information Processing Systems (NeurIPS), 2025. [PDF] [CODE]

  • Instance-dependent Early Stopping.

    Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, and Tongliang Liu.

    International Conference on Learning Representations (ICLR), 2025. [PDF] [CODE]

    (This paper was selected for spotlight presentation, acceptance rate: 5%.)

  • Early Stopping Against Label Noise Without Validation Data.

    Suqin Yuan, Lei Feng, and Tongliang Liu.

    International Conference on Learning Representations (ICLR), 2024. [PDF] [CODE]

  • Late Stopping: Avoiding Confidently Learning from Mislabeled Examples.

    Suqin Yuan, Lei Feng, and Tongliang Liu.

    International Conference on Computer Vision (ICCV), 2023. [PDF] [CODE]

Educations

  • 2022 - now, PhD student, School of Computer Science, The University of Sydney.
  • 2018 - 2022, Undergraduate, School of Computer Science, Chongqing University.

Honors and Awards

  • Top Reviewer Award, Annual Conference on Neural Information Processing Systems, 2025
  • Top Reviewer Award, International Conference on Machine Learning, 2% in reviewers, 2025
  • 12th China Youth Science and Technology Innovation Award, 100 recipients biennially, 2020
  • Chongqing University Youth May·Fourth Medal, 5 recipients annually, 2020
  • 26th China High Shcool Biology Olympiad, First Prize, ranked 12th, 2017