Xiaobo Xia

Xiaobo Xia NExT++ Research Center School of Computing National University of Singapore Email: xiaoboxia.uni@gmail.com [Google Scholar, Semantic Scholar, DBLP]

About Me

Xiaobo Xia is currently a postdoctoral fellow at National University of Singapore, advised by Prof. Tat-Seng Chua. His research area is data-centric AI. The main research interests include trustworthy AI and AI for science. He serves as the area chair of NeurIPS, ICML, ICLR, and ACM MM.

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

• 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

• Ph.D. in Computer Science (2021.03-2024.08)
  The University of Sydney, Australia.
  Supervised by Prof. Tongliang Liu.
  

• B.Eng. in Telecommunications Engineering (2016.08 - 2020.07)
  Xidian University, China.
  Supervised by Prof. Nannan Wang.
  Overall rank: 1/468.

Experiences

• Visiting Scholar in Statistics and Data Science (2024.03-2024.06)
  Yale University, USA.
  Supervised by Prof. Lu Lu.
  

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.