Xinyu Li | The University of Melbourne

About Me

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I am currently a Ph.D. student (from fall, 2025) at the School of Mathematics and Statistics of the University of Melbourne, advised by Dr. Mingming Gong, co-supervised by Prof. Howard Bondell. Prior to this, I obtained my Master of Computer Science degree from the University of Melbourne, under the supervision of Dr. Mingming Gong, Dr. Liuhua Peng, and Dr. Feng Liu.

I have strong interests in machine learning and deep model architectures, especially in causal learning and time series analysis. My current work focuses on LLMs for causal structure learning and empowering LLMs with logic reasoning. The pursuit of my research is to promote the application of advanced deep learning algorithms to real-world scenarios. Besides, I am also intensely interested in various computer vision tasks.

Research Interests

Machine Learning: Deep Learning, Causal Learning, Time Series Analysis, LLMs, Bayesian Learning. Federated Learning, Reinforcement Learning, Physics Informed Learning, etc.
Computer Vision: Diffusion Models, 3D-Reconstruction, 3D-Aware Image Synthesis, Dynamic Scene Generation, etc.

News

[Jun. 2025] News

Publications

MICCAI

Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan Yuille, Yaoyao Liu*, Zongwei Zhou* (*Corresponding authors)

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

PDF Code BibTex Early Accept

CVPR

Mnemonics Training: Multi-Class Incremental Learning without Forgetting

Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

PDF Code Project Page BibTex Oral Presentation

Services

Academic Services

Conference Reviewer: KDD
Journal Reviewer: NEUNET

Teaching Experiences

(Expected) Casual Tutor, MAST30034 Applied Data Science, 2025 Semester 2.

Education

2025.06 - present, Ph.D. in Science, School of Mathematics and Statistics, The University of Melbourne, advised by Dr. Mingming Gong and Prof. Howard Bondell.
2022.07 - 2024.06, Master of Computer Science, School of Computing and Information Systems, The University of Melbourne, advised by Dr. Mingming Gong, Dr. Liuhua Peng, and Dr. Feng Liu.

Honours & Awards

Melbourne Graduate Scholarship, The University of Melbourne. 2022.
Melbourne Research Scholarship, The University of Melbourne. 2025.