Xiaobo Xia
About Me
I am a Postdoctoral Fellow at National University of Singapore, advised by Prof. Tat-Seng Chua. My research area is data-centric AI. The main research interests include trustworthy AI and AI for science.
PS: I am actively looking for self-motivated Ph.D/M.S./Undergraduate students in the areas of trustworthy multimodal learning and data-centric AI. If you are interested, please feel free to send your CV to xbx@nus.edu.sg.
Research Interests
My general research interests lie in data-centric AI, with a particular emphasis on the following topics:
Trustworthy AI:
- Learning with noisy labels (multi-class) [NeurIPS'19, NeurIPS'20, ICLR'21, ICML'21, ICLR'22, CVPR'22, TPAMI'23, ICLR'23, ICCV'23, TPAMI'24]
- Learning with noisy labels (multi-label) [NeurIPS'22, ICCV'23]
- Out-of-distribution detection/generalization [NeurIPS'22, ICLR'23, CVPR'23, NeurIPS'23]
- Learning from crowds [TPAMI’24]
- Generalization for sparse data [KDD'22, NeurIPS'22]
- Coreset selection [ICLR'23, ICLR'24, ICML'24]
AI for Science:
- AI for Neuroscience
Education
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Ph.D. in Computer Science (2021.03-2024.08)
The University of Sydney, Australia.
Supervised by Prof. Tongliang Liu.
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B.Eng. in Telecommunications Engineering (2016.08 - 2020.07)
Xidian University, China.
Supervised by Prof. Nannan Wang.
Overall rank: 1/468.
Experiences
Honors & Awards
[2024] Chinese Government Award for Outstanding Students Abroad.
[2022] Google Ph.D. Fellowship in Machine Learning.
[2022] ICML Outstanding Reviewer Award.
[2021] NeurIPS Outstanding Reviewer Award.
[2021] Faculty of Engineering Research Scholarship.
[2020] Outstanding Graduate of Xidian University.
[2019] Chinese National Scholarship.
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