Scholar
Suqin Yuan
Google Scholar ID: PJfBjGQAAAAJ
The University of Sydney
Citations & Impact
Citations
58
H-index
3
i10-index
2
Publications
6
Co-authors
4
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Selected Publications:
- - Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples (NeurIPS 2025)
- - Instance-dependent Early Stopping (ICLR 2025, selected for spotlight presentation, acceptance rate: 5%)
- - Early Stopping Against Label Noise Without Validation Data (ICLR 2024)
- - Late Stopping: Avoiding Confidently Learning from Mislabeled Examples (ICCV 2023)
- - 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, 2020
- - Chongqing University Youth May·Fourth Medal, 2020
- - 26th China High School Biology Olympiad, First Prize, ranked 12th, 2017
Research Experience
- - Currently a Research Officer at A*STAR CFAR, Singapore, collaborating with Prof. Ivor Tsang and Dr. Xingrui Yu
Education
- - 2022 - present, PhD student, School of Computer Science, The University of Sydney, Advisor: Prof. Tongliang Liu
- - 2018 - 2022, Undergraduate, School of Computer Science, Chongqing University
Background
- - Research Interests: Overfitting in Modern Deep Learning
- - Professional Field: Generalization of machine learning models on large-scale, imperfect data
- - Brief Introduction: A final-year PhD candidate at the Sydney Artificial Intelligence Centre, University of Sydney, focusing on enhancing the generalization ability of machine learning models.
