Yexiong Lin 林业雄 Ph.D. Student Sydney AI Centre School of Computer Science The University of Sydney Address: J12/ 1 Cleveland St, Darlington, NSW 2008, Australia Email: jiphunglam AT gmail DOT com

Biography

I am a bachelor-straight-to-Ph.D. student at the School of Computer Science, the University of Sydney (USYD). I received the bachelor's degree from the College of Computer Sciences and Electronic Engineering, Hunan University in 2022. My research mainly focuses on trustworthy machine learning and generative models.

Education Background

• Ph.D. student, 2023.03 - 2026.09 (expected)
  The University of Sydney, Australia, advised by Prof. Tongliang Liu

• B.Eng., 2018.09 - 2022.06
  Hunan University, Changsha, China

Selected Publications

• Improving the Instance-Dependent Transition Matrix Estimation by Exploiting Self-Supervised Learning.
  Yexiong Lin, Yu Yao, Zhaoqing Wang, Xu Shen, Jun Yu, Bo Han, Tongliang Liu.
  TPAMI, 2025.
  

• Learning the Latent Causal Structure for Modeling Label Noise.
  Yexiong Lin, Yu Yao, Tongliang Liu.
  NeurIPS, 2024.
  

• CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation.
  Yexiong Lin, Yu Yao, Xiaolong Shi, Mingming Gong, Xu Shen, Dong Xu, Tongliang Liu.
  NeurIPS, 2023.
  

Preprints

• Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching
  Yexiong Lin, Yu Yao, Tongliang Liu.
  arXiv, 2025.
  

• Do We Need to Penalize Variance of Losses for Learning with Label Noise?
  Yexiong Lin, Yu Yao, Yuxuan Du, Jun Yu, Bo Han, Mingming Gong, Tongliang Liu.
  arXiv, 2022.
  

Honors and Awards

• International Conference on Machine Learning, Top Reviewer Award, 2% in reviewers, 2025.

• The Second Prize of Undergraduate Electronic Design Contest - 2020 Embedded System Design Invitational Contest(Intel Cup), 2020.

Academic Service

• Reviewer: ICLR, ICML, NeurIPS, ACM MM, AISTATS, TMLR, AJCAI, ACML, ICPR, IJCNN, etc..

© Yexiong Lin | Last update: September 2025