Gang Niu (Research Scientist at RIKEN-AIP)


Invited Talks (selected)


  1. M. Sugiyama, T. Liu, B. Han, Q. Yao, and G. Niu.
    Learning under noisy supervision.
    Presented at ACML 2021, Online, Nov 17--19, 2021.
    (This was a tutorial)
    [ link ]

  2. M. Sugiyama, T. Liu, B. Han, Q. Yao, and G. Niu.
    Learning with noisy supervision.
    Presented at IJCAI 2021, Online, Aug 19--26, 2021.
    (This was a tutorial)
    [ link ]

  3. G. Niu.
    Robust learning against label noise.
    Presented at The All-RIKEN Workshop 2019, Wako, Japan, Dec 5--6, 2019.
    (This was an award speech)

  4. G. Niu.
    When weakly supervised learning meets deep learning.
    Presented at 3rd IJCAI BOOM, Stockholm, Sweden, Jul 13, 2018.

  5. G. Niu.
    When deep learning meets weakly supervised learning.
    Presented at Deep Learning: Theory, Algorithms, and Applications, Tokyo, Japan, Mar 19--22, 2018.
    [ slides, video ]

  6. G. Niu.
    Statistical learning from weak supervision.
    Presented at 1st IRCN Retreat 2018, Yokohama, Japan, Mar 17--18, 2018.

  7. G. Niu.
    Recent advances on positive-unlabeled (PU) learning.
    Presented at 30th IBISML (joint with PRMU and CVIM), Tokyo, Japan, Sep 15--16, 2017.
    [ slides ]