Xiaobo Xia Ph.D. Student Sydney AI Centre School of Computer Science The University of Sydney Address: J12/ 1 Cleveland St, Darlington, NSW 2008, Australia Email: xiaoboxia.uni AT gmail DOT com

Biography

I am a third-year bachelor-straight-to-Ph.D. student at the School of Computer Science, The University of Sydney.
My research focuses on learning with noisy labels, generative models, and causal discovery.
I was a recipient of the Google Ph.D. Fellowship in 2022.

Education Background

• Ph.D. student, 2021.03 - 2024.09 (expected)
  The University of Sydney, Australia, advised by Prof. Tongliang Liu

• B.Eng., 2016.09 - 2020.06
  Xidian University, Xi'an, China, advised by Prof. Nannan Wang

Selected Publications

• HumanMAC: Masked Motion Completion for Human Motion Prediction
  L. Chen*, J. Zhang*, Y. Li, Y. Pan, X. Xia^✉, T. Liu
  ICCV 2023
  

• Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning
  X. Xia, J. Liu, J. Yu, X. Shen, B. Han, T. Liu
  ICLR 2023
  

• Pluralistic Image Completion with Gaussian Mixture Models
  X. Xia*, W. Yang*, J. Ren, Y. Li, Y. Zhan, B. Han, T. Liu
  NeurIPS 2022
  

• Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data
  X. Xia*, S. Shan*, M. Gong, N. Wang, F. Gao, H. Wei, T. Liu
  SIGKDD 2022
  

• Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
  X. Xia, T. Liu, B. Han, M. Gong, J. Yu, G. Niu, M. Sugiyama
  ICLR 2022
  

• Robust Early-learning: Hindering the Memorization of Noisy Labels
  X. Xia, T. Liu, B. Han, C. Gong, N. Wang, Z. Ge, Y. Chang
  ICLR 2021
  

• Part-dependent Label Noise: Towards Instance-dependent Label Noise [Spotlight]
  X. Xia, T. Liu, B. Han, N. Wang, M. Gong, H. Liu, G. Niu, D. Tao, M. Sugiyama
  NeurIPS 2020
  

• Are Anchor Points Really Indispensable in Label-noise Learning?
  X. Xia, T. Liu, N. Wang, B. Han, C. Gong, G. Niu, M. Sugiyama
  NeurIPS 2019
  

Honors and Awards

• Google Ph.D. Fellowship in Machine Learning, 2022.

• ICML Outstanding Reviewer Award, 2022.

• NeurIPS Outstanding Reviewer Award, 2021.

• Chinese National Scholarship, 2019.

Academic Service

• Conference Reviewer: NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ICCV, ECCV, SIGKDD, AAAI, IJCAI, etc.

• Journal Reviewer: TMLR, MLJ, TKDE, TNN, etc.

© Xiaobo Xia | Last update: August 2023