Xingrui Yu


Xingrui Yu

Ph.D. student
Australian Artificial Intelligence Institute (AAII),
University of Technology Sydney (UTS)

E-mail: Xingrui.Yu [at]
[Google Scholar] [Github]


    My current research interest:
  • Imitation Learning

  • Weakly-supervised Learning

Selected Recent Publications

  • X. Yu, Y. Lyu and I.W. Tsang. Intrinsic Reward Driven Imitation Learning via Generative Model. In International Conference on Machine Learning, 2020, [PDF][Code][Slides][WebPage].

  • X. Yu, B. Han, J. Yao, G. Niu, I.W. Tsang and M. Sugiyama. How does disagreement help generalization against label corruption? In International Conference on Machine Learning, 2019, [PDF][Code].

  • B. Han, Q. Yao, X. Yu, G. Niu, M. Xu, W. Hu, I.W. Tsang and M. Sugiyama. Co-teaching: Robust training of deep neural networks with extremely noisy labels. In Advances in Neural Information Processing Systems, 2018, [PDF][Code].

  • X. Yu, H. Zhang, C. Luo, H. Qi and P. Ren. Oil spill segmentation via adversarial f-divergence learning. IEEE Transactions on Geoscience and Remote Sensing, 56(9): 4973-4988, 2018, [PDF][Code].

Professional Service

  • Conference Reviewer/Program Committee:

    • NeurIPS-2019, ACML-2019

    • AAAI-2020, ICML-2020, IJCAI-PRICAI-2020, NeurIPS-2020, ACML-2020

    • ICLR-2021

  • Journal Reviewer:


    • Machine Learning


  • ICML-2019 Travel Award

Brief Biography