Yuanyuan Wang Ph.D. Student UoM Causal Learning & Reasoning Group School of Mathematics and Statistics The University of Melbourne Address: 206 Old Geology Building South, Parkville, VIC, Australia Email: yuanyuanw2 AT student.unimelb.edu.au

Biography

I am a Ph.D. candidate in the School of Mathematics and Statistics at the University of Melbourne. I hold a master’s degree in Data Science from the University of Melbourne and a master’s degree in Software Engineering from Beihang University. I earned my bachelor’s degree in Mathematics and Applied Mathematics from Shandong Normal University. With over three years of professional experience at Microsoft MSN and Baidu, I have developed strong expertise in data analysis and digital marketing.

My research focuses on causal reasoning in dynamic models, particularly those described by Ordinary and Stochastic Differential Equations (ODEs/SDEs). I am also interested in generative models, with a special emphasis on those involving diffusion models.

Education Background

• Ph.D. student, 2021.08 - 2025.05 (expected)
  The University of Melbourne, Australia
  Supervised by Dr. Mingming Gong and co-supervised by Dr. Wei Huang, Dr. Xi Geng and Dr. Biwei Huang

• M.S. and Graduate Diploma in Data Science, 2019.02 - 2021.07
  The University of Melbourne, Australia

• M.E. in Software Engineering, 2012.09 - 2015.01
  Beihang University, Beijing, China

• B.S. in Mathematics and Applied Mathematics, 2008.09 - 2012.06
  Shandong Normal University, Shandong, China

Publications

• 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)
  

Honors and Awards

• Research Training Program Scholarship, the University of Melbourne, 2021-2025

• Dean's Honours List - Faculty of Science, the University of Melbourne, 2021

Academic Service

• Conference and Journal Reviewer: NeurIPS, ICML, ICLR, AISTATS, IEEE TNNLS, ECAI, ACML, JVCI, TKDD etc.

Tutoring Role

• MAST90072 - Data and Decision Making, the University of Melbourne

Work Experiences and Internships

• 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: Dec. 2024