Xiaobo Xia

Xiaobo Xia PhD Student School of Computer Science Facult of Engineering The University of Sydney Email: xiaoboxia.uni@gmail.com Google Scholar

About Me

I am currently a final-year PhD student advised by Prof. Tongliang Liu. Before that, I got my bachelor's degree at Xidian University, feeling fortunate to learn from Prof. Nannan Wang. I was a visiting scholar at University of Science and Technology of China in 2021. My research area is data-centric AI. The main research interests include trustworthy and efficient AI, AI-generated content, and scientific machine learning. I am a recipient of Google PhD Fellowship 2022.

I am now a visiting PhD student with Prof. Lu Lu at Yale University.

Top News

• [Apr 2024] TAIDTM was accepted by TPAMI. Check it out!

• [Mar 2024] One paper was accepted by TPAMI.

• [Jan 2024] IDEAL was accepted by ICLR'24.

• [Dec 2023] We release IDEAL and Nuggets towards data-efficient large language models. Check them out!

• [Dec 2023] One paper was accepted by TPAMI.

• [Sep 2023] One paper was accepted by NeurIPS'23.

• [Jul 2023] Three papers were accepted by ICCV'23.

• [Feb 2023] One paper was accepted by CVPR'23.

• [Jan 2023] Three papers were was accepted by ICLR'23.

• [Sep 2022] Three papers were accepted by NeurIPS'22.

• [Feb 2022] One paper was accepted by CVPR'22.

• [Jan 2022] Two papers were accepted by ICLR'22.

Research Interests

• Trustworthy and Efficient 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]
  - Data-efficient kernel mean estimation [KDD'22]
  - Coreset selection [ICLR'23]
  

• AI-Generated Content:
  - Human motion generation [NeurIPS'22, ICCV'23]
  - Large language models [ICLR'24, Preprint'23b]
  

• Scientific Machine Learning:
  - AI for physics
  

Honors & Awards

• [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.