Affiliated Associate Professor, Department of Machine Learning, MBZUAI
Dr Mingming Gong is an Affiliated Associate Professor in the Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Dr Mingming Gong is currently a senior lecturer at the School of Mathematics and Statistics, University of Melbourne, Australia, and a Principal Investigator at the Melbourne Centre for Data Science. He was awarded the Discovery Early Career Research Award from Australian Research Council in 2021.
He received the research excellence scholarship during his master’s study at Nanjing University, China. Dr Gong then received a university chancellor's scholarship to pursue a Ph.D. at the University of Technology Sydney. Following his Ph.D., he undertook a joint postdoc position with University of Pittsburgh and Carnegie Mellon University.
Gong has served as the area chair for top conferences such as International Conference on Machine Learning (ICML), the Conference and Workshop on Neural Information Processing Systems (NeurIPS), the International Conference on Learning Representations (ICLR), and the Conference on Uncertainty in Artificial Intelligence UAI. His research work on depth estimation won the first-prize at CVPR 2018 robust vision challenge, and his work on unsupervised domain mapping was a CVPR 2019 best paper finalist. He interned at Max Planck Institute for Intelligent Systems in German.
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About Mingming Gong
Dr Mingming Gong is an Affiliated Associate Professor in the Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Dr Mingming Gong is currently a senior lecturer at the School of Mathematics and Statistics, University of Melbourne, Australia, and a Principal Investigator at the Melbourne Centre for Data Science. He was awarded the Discovery Early Career Research Award from Australian Research Council in 2021.
He received the research excellence scholarship during his master’s study at Nanjing University, China. Dr Gong then received a university chancellor's scholarship to pursue a Ph.D. at the University of Technology Sydney. Following his Ph.D., he undertook a joint postdoc position with University of Pittsburgh and Carnegie Mellon University.
Gong has served as the area chair for top conferences such as International Conference on Machine Learning (ICML), the Conference and Workshop on Neural Information Processing Systems (NeurIPS), the International Conference on Learning Representations (ICLR), and the Conference on Uncertainty in Artificial Intelligence UAI. His research work on depth estimation won the first-prize at CVPR 2018 robust vision challenge, and his work on unsupervised domain mapping was a CVPR 2019 best paper finalist. He interned at Max Planck Institute for Intelligent Systems in German.
| Present | Affiliated Associate Professor, Mohamed bin Zayed University of Artificial Intelligence ‐ Department of Machine Learning | |
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Disciplines
Research Interests
Professional Service and Affiliations
| 2023 | Area Chair, European Conference on Artificial Intelligence | 2023 | Area Chair, International Joint Conference on Artificial Intelligence | 2022 - 2023 | Area Chair, Conference on Causal Learning and Reasoning | 2022 - 2023 | Area Chair, Conference on Uncertainty in Artificial Intelligence | 2022 - 2023 | Area Chair, International Conference on Learning Representations | 2022 - 2023 | Area Chair, International Conference on Machine Learning | 2022 | Organizing Committee, Publicity Chair, Conference on Causal Learning and Reasoning | 2022 | Organizing Committee, Publicity Chair, Conference on Uncertainty in Artificial Intelligence | 2022 | Area Chair, International Conference on Pattern Recognition | 2021 - 2022 | Area Chair, Neural Information Processing Systems | 2020 - 2021 | Area Chair, International Joint Conference on Artificial Intelligence | 2019 - 2020 | Area Chair, AAAI Conference on Artificial Intelligence | Associate Editor, Frontiers in Computer Science: Computer Vision | Editorial Board member, Machine Learning Journal | Action Editor, Neural Networks | Action Editor, Transactions on Machine Learning Research |
Honors and Awards
- ARC Discovery Early Career Research Award Grant
- CCF-Tencent Rhino-Bird Young Faculty Open Research Fund
- Global Top Chinese Young Scholar in Artificial Intelligence (by Baidu Academic)
- IJCAI 2020 early career spotlight
- CVPR 2019 best paper finalist (top 1%)
- 1st place in CVPR Robust Vision Challenge, 2018
