Rate My Professor Sirui Li

Dr. Sirui Li is a Lecturer in the School of Information Technology at Murdoch University, where she also serves as the Deputy Associate Dean for Equity and Inclusion. She earned her Bachelor of Advanced Computing in Computer Science and Master of Computing in Computer Science from the Australian National University. In 2023, she completed her PhD in Artificial Intelligence at Murdoch University, with a doctoral thesis titled "Using enhanced knowledge graph embedding and graph neural networks for natural language processing." Her early career includes roles as a PhD student at Murdoch and subsequent positions advancing her expertise in AI applications.

Sirui Li's research focuses on artificial intelligence and machine learning, particularly natural language processing, knowledge graphs, large language models, and data analysis. She develops deep learning-based methods for knowledge graph embedding, information discovery, and real-world industry applications such as decision-making and maintenance through data science. As a research associate with the ARC Training Centre for Transforming Maintenance through Data Science at the University of Western Australia, she applies these techniques to practical challenges. She also engages in casual teaching across multiple disciplines at UWA. Her publications appear in prestigious venues, including "A systematic review of multi-modal large language models on domain-specific applications" (2025), "Differential Privacy on Large Language Models for Privacy Preserving Clinical Coding" (2025, Proceedings of the International Joint Conference on Neural Networks), "DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral" (2025, ACL System Demonstrations), "TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs" (2025, WWW Companion Proceedings), "Large Language Models for Failure Mode Classification: An Investigation" (2023, arXiv), "Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding" (2022, Procedia Computer Science), and "Enhancing Question Answering through Effective Candidate Subgraph Retrieval" (2024). Dr. Li received the Best Demo Award in 2024 for DocSpiral and was a finalist for the 2023 ACS WA Dennis Moore 1962 Medal.