- NeurIPS 2022 Outstanding Paper Awardee (First Author)
- ARC Discovery Early Career Researcher Awardee
- Published numerous papers in top-tier conferences and journals such as NeurIPS, ICML, ICLR, IEEE TPAMI, and JMLR, focusing on out-of-distribution learning and transfer learning
Research Experience
- Lecturer (Research Intensive), Feb. 2023 - Nov. 2023, Project: Transfer Learning, Advisor: Distinguished Prof. Jie Lu
- Postdoc, Jul. 2021 - Feb. 2023, Project: Transfer Learning, Advisor: Distinguished Prof. Jie Lu
- Research Assistant, Jun. 2021 - Jul. 2021, Project: Transfer Learning, Advisor: Distinguished Prof. Jie Lu
Education
- Ph.D. in Computer Science, 2021, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia, Supervised by Distinguished Prof. Jie Lu and Prof. Guangquan Zhang
- Master of Science, 2017, School of Mathematical Sciences, Xiamen University, China, Supervised by Prof. Bo Guan
- Bachelor of Science, 2014, School of Mathematics and Statistics and Cuiyin Honors College, Lanzhou University, China
Background
- Research Interests: Transfer Learning, Statistical Learning Theory, Generalized Out-of-Distribution Learning, Foundation Models
- Professional Field: Machine Learning
- Biography: Lecturer/Assistant Professor at DeSI Lab, Australian Artificial Intelligence Institute, University of Technology Sydney. Main research areas include transfer learning and generalized out-of-distribution learning.