Tongliang Liu


Academic Talks


  • 9/2022, invited talk, "Causality-inspired Robust Machine Learning Algorithms", University of Wollongong, Online.

  • 9/2022, invited talk, "Learning with Noisy Labels", Sydney Computing Society (SYNCS), Online.

  • 7/2022, invited talk, "Introduction to Learning with Noisy Labels: Boosting Super Deep Learning", VALSE (Vision And Learning SEminar), Online.

  • 7/2022, invited talk, "Learning with Noisy Labels", Mohamed Bin Zayed University of Artificial Intelligence, Online.

  • 6/2022, invited talk, "Introduction to Learning with Noisy Labels", Huazhong University of Science and Technology, Online.

  • 6/2022, invited talk, "Introduction to Learning with Noisy Labels", Shanghai Jiao Tong University, Online.

  • 6/2022, invited talk, "Introduction to Learning with Noisy Labels", China University of Petroleum, Online.

  • 6/2022, invited talk, "Introduction to Learning with Noisy Labels", Xidian University, Xi'an, China.

  • 6/2022, invited talk, "Introduction to Learning with Noisy Labels", Brain-Inspired Technology Co., Ltd, Hefei, China.

  • 6/2022, invited talk, "Introduction to Learning with Noisy Labels", University of Science and Technology of China, Online.

  • 5/2022, invited talk, "Introduction to Learning with Noisy Labels", Wuhan University, Wuhan, China.

  • 4/2022, invited talk, "Introduction to Learning with Noisy Labels", Xi'An JiaoTong University, Online.

  • 4/2022, invited talk, "Introduction to Learning with Noisy Labels", Shandong University, Online.

  • 3/2022, invited talk, "Introduction to Learning with Noisy Labels", Renming University of China, Online.

  • 3/2022, invited talk, "Introduction to Learning with Noisy Labels", Wuhan University, Online.

  • 2/2022, invited talk, "Introduction to Learning with Noisy Labels", University of Melbourne, Online.

  • 2/2022, plenary talk, "Introduction to Learning with Noisy Labels", the 34th Australasian Joint Conference on Artificial Intelligence (AJCAI), Online.

  • 1/2022, invited talk, "Introduction to Learning with Noisy Labels", Beijing University of Technology, Online.

  • 11/2021, tutorial talk, "Learning under Noisy Supervision", the 13th Asian Conference on Machine Learning (ACML) 2021, Online.

  • 8/2021, tutorial talk, "Statistical Learning with Noisy Supervision", the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), Online.

  • 5/2021, invited talk, "Modelling Label Noise", Monash University, Online.

  • 4/2021, invited talk, "Modelling Label Noise", RMIT University, Online.

  • 3/2021, invited talk, "Recent developments in estimating transition matrices for label-noise learning", The first Australia-Japan Workshop on Machine Learning, Online.

  • 12/2020, invited talk, “Learning under Label Noise”, University of Technology Sydney, Online.

  • 11/2020, seminr talk, “Learning with Noisy Labels”, University of Sydney, Online.

  • 11/2020, plenary talk, “Learning under Label Noise”, The International Conference on Digital Image Computing: Techniques and Applications (DICTA), Online.

  • 8/2020, invited talk, “Estimating the Transition Matrix for Label-Noise Learning”, RIKEN AIP, Japan, Online.

  • 4/2020, seminar talk, “On the Anchor Point of Label-noise Learning”, VALSE (Vision And Learning SEminar), Online.

  • 1/2020, invited talk, “Estimating Transition Matrix for Label-noise Learning”, Peking University, China.

  • 8/2019, plenary talk, “On the Robustness of Machine Learning”, First China (Hefei) International AI Education Forum, China.

  • 11/2017, tutorial talk, “Learning with Noisy Labels”, The International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia.

  • 12/2016, invited tlak, “Learning with Noisy Labels by Importance Reweighting”, Wuhan University and China University of Geosciences, China.