Talk on "On the Identifiability of ODEs/SDEs for Causal Inference", Max Planck Institute for Intelligent Systems, Tuebingen, Germany, July 2, 2024

Talk on "On the Identifiability of ODEs/SDEs for Causal Inference", International Center for Mathematical Research, Peking University, Beijing, China, Sep 15, 2023

Talk on "Opportunities and Challenges in Causal Machine Learning", Southeast University, Nanjing, China, Sep 7 2023

Talk on "Overview of AI general concepts and methods", Doherty Institute, Melbourne, Australia, Sep 5, 2023

Talk on "Opportunities and Challenges in Causal Machine Learning", Data61, CSIRO, Aug 4, 2023 (online)

Talk on "On the Role of Causality in Robust Machine Learning", Souteast University, Dec 1, 2022 (online)

Talk on "Domain Adaptation as A Problem of Inference on Graphical Models", Guizhou Normal University, Dec 1, 2022 (online)

Talk on "Domain Adaptation as A Problem of Inference on Graphical Models", Melbourne Centre for Data Science Seminar, Melbourne, Australia, Oct 7, 2022

Talk on "Deep Learning-based Depth Estimation", Black.ai, Aug 23, 2022 (online)

Talk on "Identifiability and Estimation of Causal Structures from Time Series Data", Shanghai Jiaotong University, July 29, 2022 (online)

Talk on "Bridging Causality and Machine Learning: How Do They Benefit from Each other?", MBZUAI, July 5, 2022 (online)

Talk on "Towards Causal Transfer Learning", Huazhong Agricultural University, Dec 8, 2021 (online)

Talk on "Causal Understanding of Domain Adaptation", Huawei Strategy and Technology Workshop, Oct 16, 2021 (online)

Talk on "Domain Adaptation as A Problem of Inference on Graphical Models", University of Sydney, Oct 13, 2021 (online)

Talk on "Domain Adaptation as A Problem of Inference on Graphical Models", NeurIPS 2020 Australia Pre-Conference, Dec 5, 2020 (online)

Talk on "A Tutorial on Depth Estimation", Meituan, Dec 4, 2020 (online)

Talk on "Causal Inference from Observational Data", DICTA workshop on Learning and Inference from Complex Data, Dec 3, 2020 (online)

Talk on "Domain Adaptation as A Problem of Inference on Graphical Models", 青源Seminar丨NeurIPS 2020中国预讲会, Nov 27, 2020 (online)

Talk on "Domain Adaptation as A Problem of Inference on Graphical Models", University of Copenhagen, Denmark, Nov 20, 2020 (online)

Talk on "Bridging Causality and Learning: How Do They Benefit from Each Other?", University of Adelaide, Adelaide, Australia, Nov 19, 2020 (online)

Talk on "Discovering Temporal Causal Relations from Low-Resolution Data", International Symposium on Data Science Research and Practice, Shiga University, Japan, Nov 13, 2020 (online)

Talk on "Causal Generative Modeling for Domain Adaptation", Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia, Oct 30, 2020 (online)

Talk on "Bridging Causality and Learning: How Do They Benefit from Each Other?", Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, Australia, Oct 13, 2020 (online)

Talk on "Bridging Causality and Learning: How Do They Benefit from Each Other?", Department of Data Science & AI, Monash University, Melbourne, Australia, Oct 7, 2020 (online)

Talk on "Deep Generative Models and Transfer Learning", Institute of Computing Technology, Chinese Academy of Science, Beijing, China, Dec 7, 2019

Talk on "Causal Discovery and Transfer Learning", International Center for Mathematical Research, Peking University, Beijing, China, Dec 5, 2019

Tutorial on "From Statistical to Causal Learning", Australasian Joint Conference on Artificial Intelligence/Australasian Data Mining Conference, Adelaide, Australia, Dec 2, 2019

Talk on "Causal Learning", Causal Modeling and Machine Learning Workshop, Guangzhou, China, Nov 23, 2019

Talk on "Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping", CVPR, Long Beach, USA, Jun 18, 2019

Talk on "Causal and Causally-Inspired Learning", School of Computer Science, University of Science and Technology of China, Hefei, China, April 19, 2019

Keynote Speech on "Causal Domain Adaptation", 3rd International Workshop on Big Data Transfer Learning, in conjunction with IEEE Big Data Conference 2018, Seattle, Washington, USA, Dec 10, 2018.

Talk on "Causal and Causally-Inspired Learning", School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia, Dec 6, 2018

Talk on "Causal and Causally-Inspired Learning", School of Viterbi Engineering, University of Southern California, Los Angeles, USA, Aug 14, 2018

Talk on "Causal and Causally-Inspired Learning", Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, USA, Aug 13, 2018

Talk on "Domain Adaptation from a Causal Perspective", School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China, July 4, 2018

Talk on "Discovering Causal Relations from Low-Resolution Time Series", School of Computer Science, Wuhan University, China, July 3, 2018

Talk on "Deep Ordinal Regression Network for Monocular Depth Estimation", CVPR Robust Vision Workshop, Salt Lake, USA, Jun 18, 2018

Talk on "Causal and Causally-Inspired Learning", School of Computer Science, Stevens Institute of Technology, Hoboken, USA, Mar 19, 2018

Talk on "Domain Adaptation with Conditional Transferable Components", International Conference on Machine Learning (ICML) 2016, New York, USA, Jun 20, 2016.