WANG, Jun |
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Currently, I am a first-year Ph.D. student at the University of Sydney under the supervision of Prof. Tongliang Liu and Prof. Dacheng Tao.
I got my master's degree in computer science in June 2021 from the LAMDA group at Nanjing University and my bachelor's degree in computer science in June 2018 from the University of Science and Technology of China respectively. After a short period of working as an algorithm engineer for the video recommendation system of TikTok, I decided to study for a Ph.D. degree to pursue an academic career.
My research interests include Machine Learning and Data Mining. Specifically, I am mainly focusing on the subfields:
AI for Science: Using machine learning techniques to advance fundamental science research and improve our understanding of natural phenomena.
Causality and LLM: Explore the causal reasoning ability of large language models and use them to auxiliary the causal discovery process.
Jun Wang, Zhi-Hua Zhou. Margin Distribution Analysis. IEEE Transactions on Neural Networks and Learning Systems, 2021.
Jun Wang, Zhi-Hua Zhou. Differentially Private Learning with Small Public Data. Proceedings of the AAAI Conference on Artificial Intelligence, 2020.
Algorithm Engineer, TikTok, ByteDance, June 2021 ~ July 2022
Algorithm Engineer (Intern), Youku, Alibaba Group, July 2020 ~ Oct 2020