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.
Competitive PhD Scholarships through the Research Training Program (RTP) are available to both domestic and international students for 2025. Application ends on 11th November 2024. Discussion via email are welcomed.
For students seeking to apply for CSC scholarships: We have the capacity to supervise CSC-funded (China Scholarship Council) students. UON offers generous support and top-up funding for successful CSC applicants. If you are interested, please get in touch via email. More information can be found on the CSC website and the UON website.
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)
- …