Yuanyuan WangPh.D. Student
UoM Causal Learning & Reasoning Group
Address: 206 Old Geology Building South, Parkville, VIC, Australia
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I am a Ph.D. candidate in the School of Mathematics and Statistics at the University of Melbourne, where I also completed a Master’s degree in Data Science. My doctoral research is supervised by Dr. Mingming Gong and co-supervised by Dr. Wei Huang , Dr. Xi Geng, and Dr. Biwei Huang. I hold a Bachelor’s degree in Mathematics and Applied Mathematics from Shandong Normal University. Before my studies at the University of Melbourne, I worked for over three years at Microsoft MSN and Baidu, focusing on data analysis and digital marketing.
My research focuses on causal reasoning in dynamical systems, particularly those governed by Ordinary and Stochastic Differential Equations (ODEs/SDEs). I am also interested in generative modeling, with a particular emphasis on diffusion-based approaches.
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
Y. Wang, B. Huang, W. Huang, X. Geng, M. Gong
(NeurIPS 2024)
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations
Y. Wang, W. Huang, M. Gong, X. Geng, T. Liu, K. Zhang, D. Tao
(JMLR 2024)
Generator Identification for Linear SDEs with Additive and Multiplicative Noise
Y. Wang, X. Geng, W. Huang, B. Huang, M. Gong
(NeurIPS 2023)
Research Training Program Scholarship, the University of Melbourne, 2021-2025
Dean's Honours List - Faculty of Science, the University of Melbourne, 2021
Conference and Journal Reviewer: NeurIPS, ICML, ICLR, UAI, AJCAI, TMLR etc.
MAST90072 - Data and Decision Making, the University of Melbourne
Baidu, Beijing, China, 2015.12 - 2017.09
Data Analyst - Awarded 'The Star of the Quarter' for outstanding performance in Baidu
XCAR, Beijing, China, 2015.06 - 2015.12
Junior Product Manager - Successfully delivered a UGC (user generate content) project
Baidu, Beijing, China, 2014.08 - 2015.04
Product Assistant Intern - Awarded 'The Best Intern' in Baidu
Microsoft MSN, Beijing, China, 2013.05 - 2013.10
Product Assistant Intern
© Yuanyuan Wang | Last update: May. 2025 |