Xuefeng Li

PhD | Senior Applied Scientist @ Ninja AI



Publications

     • Provably End-to-end Label-Noise Learning without Anchor Points [PDF]
        X. Li, T. Liu, B. Han, G. Niu, M. Sugiyama
        [ICML], 2021.

     • Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection [PDF]
        X. Li, A. Blair
        [IJCNN], 2022.

Education

University of New South Wales             07/2018 - Present
Ph.D. student, Computer Science and Engineering
Supervisor: Alan Blair, Tongliang Liu

University of New South Wales             07/2018
B.Sc. (Hons First Class), Computer Science and Engineering
Thesis: Adaptive Evolution Strategies

Experience

Ninja AI, Sydney             01/2024 - Present
Senior Applied Scientist, AI Agent

Rokt, Sydney             01/2023 - 01/2024
Machine Learning Engineer, Core ML

Amazon, Sydney             04/2022 - 12/2022
Applied Scientist, Internship

University of Sydney             07/2019 - 06/2021
Research Assistant, School of Computer Science

Toshiba Australia             01/2018 - 08/2018
Software Engineer Trainee, Research & Development