I am a third-year PhD student from National University of Singapore, advised by Assoc. Prof. Bryan Low and Prof. See-Kiong Ng. Before that, I was a full time machine learning engineer at Ant Group. I received my Bachelor's degree from the Fudan University, where I worked with Assoc. Prof. Zhongyu Wei.
Update
[5 Oct 2023] Our instruction optimization paper (INSTINCT) is avaliable on arxiv now.
[10 Aug 2023] I receive Research Achievement Award from NUS School of Computing.
[8 Aug 2023] Our paper "Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients" is avaliable on arxiv now.
[24 Apr 2023] Our paper "Fair yet Asymptotically Equal Collaborative Learning" is accepted by ICML 2023.
Research Interest
I am broadly interested in research on the Collaborative Machine Learning, Data Valuation, Zeroth-Order Optimization. I used to work on Natrual Language Processing and Social Computing.
Publications
Xiaoqiang Lin*, Xinyi Xu*, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low
International Conference on Machine Learning (ICML), 2023
Paper / Code / Bibtex
Yuqiao Yang*, Xiaoqiang Lin*, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei
International Joint Conferences on Artificial Intelligence (IJCAI), 2020
Paper / Code / Bibtex
Pre-prints
Xiaoqiang Lin*, Zhaoxuan Wu*, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
Pre-print, 2023 [arXiv]
Project Page / Paper / Code / Bibtex
Yao Shu, Xiaoqiang Lin, Zhongxiang Dai, Bryan Kian Hsiang Low
Pre-print, 2023 [arXiv]
Paper / Bibtex
Professional Services
Conference Reviewer for AISTATS’2024Conference Reviewer for AAAI’2024
Conference Reviewer for ACML’2023
Conference Reviewer for ICML’2021
Contact
You are very welcome to contact me regarding my research. I typically respond within a few days.I can be contacted directly at xiaoqiang.lin [at] u.nus.edu