🙋♀️ About Me
I am Xinshu Li, currently a Lecturer (equivalent to Assistant Professor in North America) in the School of Computing Technologies at RMIT University. I completed my Ph.D. in Computer Science at the University of New South Wales under the supervision of Prof. Lina Yao, and previously received my Master’s degree from Fudan University and Bachelor’s degree from Zhejiang University. Before joining RMIT, I was a Postdoctoral Research Fellow at Macquarie University.
My research focuses on the theory and applications of causal inference, such as embodied AI, healthcare and other areas, aiming to build trustworthy and generalizable AI systems. My work has been published in top-tier peer-reviewed conferences such as KDD, AAAI, ACM MM, and ICDM. I also serve as a reviewer for leading venues including NeurIPS, ICLR, CVPR, ICCV, KDD, and CIKM. I’m always open to collaborations and discussions in causal inference and trustworthy AI.
🔥 News
- 2025.12: 🎉 I join RMIT University as a Lecturer in the School of Computing Technologies!
- 2025.08: 🎉 One paper is accepted by IEEE ICDM 2025.
- 2025.07: 🎉 One paper is accepted by ACM MM 2025.
- 2025.05: 🎉 I receive my Ph.D. in Computer Science from UNSW Sydney!
- 2025.03: 🎉 I join Macquarie University as a Postdoctoral Research Fellow!
- 2024.05: 🎉 One paper is accepted by KDD 2024.
- 2024.01: 🎉 One paper is accepted by AAAI 2024.
📝 Selected Publications
🔍 For a full list, please visit my Google Scholar.
Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation
Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao
Self-Distilled Disentangled Learning for Counterfactual Prediction
Xinshu Li, Mingming Gong, Lina Yao
🎖 Honors and Awards
- 2025 KDD 2025 Excellent Reviewers.
- 2024 KDD 2024 Student Travel Grant.
- 2021 Outstanding Graduate of Fudan University.
- 2020 Zonglin Lu Scholarship of Fudan University.
- 2019 First-class Scholarship for Postgraduate Students of Fudan University.
- 2019 Outstanding Student Leader of Fudan University.
- 2017 Member of Zhejiang University’s Engineering Excellence Program.
💼 Work Experience
- 2025.12 - Present, Lecturer, School of Computing Technologies, RMIT University, Melbourne.
- 2025.03 - 2025.12, Postdoctoral Research Fellow, School of Computing, Macquarie University, Sydney.
📖 Educations
- 2021.08 - 2025.05, Doctor, UNSW, Sydney.
- 2018.09 - 2021.01, Master, Fudan University, Shanghai.
- 2014.09 - 2018.07, Bachelor, Zhejiang University, Hangzhou.
💬 Invited Talks
- 2024.08, “Self-Distilled Disentangled Learning for Counterfactual Prediction.” KDD 2024, Barcelona, Spain.
- 2022.11, “Contrastive individual treatment effects estimation.” IEEE ICDM 2022, Orlando, Florida, USA.
🤝 Professional Services
- Conference Reviewer: NeurIPS, ICLR, CVPR, ICCV, KDD, AAAI, WWW, ICDM, CIKM, etc.
- Journal Reviewer: TKDE, TAI, TOSN, TALLIP, TOIS, etc.
💻 Teaching
Teaching Assistant
- Coding for Business: Postgraduate Course, UNSW, Sydney.
- Business Analytics Methods: Postgraduate Course, UNSW, Sydney.
- Programming for Data Analytics: Undergraduate Course, UNSW, Sydney.
- Algorithm Design and Analysis: Undergraduate Course, Fudan University, Shanghai.
- Probability Theory and Mathematical Statistics: Undergraduate Course, Fudan University, Shanghai.
- C++ Programming: Undergraduate Course, Fudan University, Shanghai.