Biography
Since February 2023, I have been serving as a Lecturer in Data Science and Statistics at the University of Newcastle (UON), Australia. Before this, I held the position of Associate Professor in the School of Computer Science and Engineering at Southeast University, China. From 2018 to 2020, I worked as a research fellow at the University of South Australia.
I completed my PhD in Information Technology and Mathematical Science at the University of South Australia in 2018, following my M.Sc. in Computer Science and Technology from Nanjing University in 2014. I also hold a Bachelor’s degree in Mathematics from Nanjing University.
My research primarily focuses on causal inference and machine learning from incomplete observations, such as causal effect estimation, survival analysis, weakly-supervised learning, and causal representation learning.
For my up-to-date list of publications, please see Google Scholar.
NEWS: We are co-organising the Australasian Data Science and Machine Learning Conference (AusDM'24) and invite you to submit your work! For more information, please see our Call For Papers.
- Machine Learning
- Causal Inference
- Survival Analysis
PhD in Computer Science, 2018
University of South Australia, Australia
MSc in Computer Science, 2014
Nanjing University, China
BSc in Mathematics, 2011
Nanjing University, China
Teaching
I am and coordinating the following courses at University of Newcastle:
STAT1060, Business Decision Making,
STAT3040: Time Series Forecasting,
STAT6160, Data Analytics for Business Intelligence.
I taught and coordinated the following courses at Southeast University, China:
Pattern Recognition, Spring 2022, course evaluation feedback ranked 1st of 93 courses.
I taught and coordinated several courses at the University of South Australia, including:
INFS 5100: Predictive Analytics, 2020.
INFS 5102: Unsupervised Methods in Analytics, 2019.
COMP 4008: Data and Web Mining, 2019-2020 (with Prof. Jiuyong Li).
Academic Services
I serve as program commitee member/editor/reviewer for the following academic venues:
Program Committee Member/Reviewer (International Conferences)
- AAAI Conference on Artificial Intelligence (AAAI): 2021 (Top Reviewer Award), 2022, 2023, 2024, 2025
- International Conference on Artificial Intelligence and Statistics (AISTATS): 2024, 2025
- Conference on Causal Learning and Reasoning (CLeaR): 2022, 2023, 2024
- European Conference on Artificial Intelligence (ECAI): 2020, 2022, 2023, 2024
- International Conference on Learning Representations (ICLR): 2024
- International Conference on Machine Learning (ICML): 2024
- International Joint Conference on Artificial Intelligence (IJCAI): 2020, 2022, 2023, 2024
- Conference on Neural Information Processing Systems (NeurIPS): 2023, 2024
- Conference on Uncertainty in Artificial Intelligence (UAI): 2022 (Top Reviewer Award), 2023, 2024
Program Committee Member (Australasian Conferences)
- Australasian Data Science and Machine Learning Conference (AusDM): 2019-2023, 2024 (Doctoral Consortium Chair)
- Australasian Joint Conference on Artificial Intelligence (AJCAI): 2023, 2024
Review/Action Editor
Guest Editor
- Data Science and Engineering, Special Issue on “The Innovative Use of Data Science to Transform How We Work and Live”
Invited Journal Reviewer
- Journal of Machine Learning Research (JMLR)
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- Machine Learning (MLJ)
- …