About me

I am a final-year PhD candidate at the Sydney Artificial Intelligence Centre, School of Computer Science, The University of Sydney, advised by Prof. Tongliang Liu, and I also receive valuable guidance from Prof. Lei Feng. I develop machine learning methods that generalize effectively and efficiently from imperfect data, and I currently focus on post-training alignment under imperfect supervision.

In late 2025, I visited the AI-for-X Centre at Nanyang Technological University (NTU), where I collaborated with Prof. Bo An. Earlier in Singapore, I was a Research Officer at A*STAR CFAR, where I worked with Prof. Ivor Tsang and Dr. Xingrui Yu.

I regularly serve as a reviewer for ICLR, ICML, NeurIPS, CVPR, ICCV, ECCV, ACL, UAI, AISTATS, as well as TPAMI, TIP, JAIR, TMLR, and MLJ. I welcome collaboration opportunities across related areas. I am actively exploring postdoctoral research opportunities.

Selected Publications

• Mitigating Mismatch within Reference-based Preference Optimization.

  Suqin Yuan, Xingrui Yu, Jiyang Zheng, Lei Feng, Dadong Wang, Ivor Tsang, and Tongliang Liu.

  International Conference on Learning Representations (ICLR), 2026. [PDF] [CODE]

• 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

• USYD Faculty of Engineering Career Advancement Award, 2025
• 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
• 26th China High Shcool Biology Olympiad, First Prize, ranked 12th, 2017