معرفی
Dr. Ling Chen is a Professor at the University of Technology Sydney (UTS), affiliated with the Faculty of Engineering and Information Technology and the Australian Artificial Intelligence Institute (AAII), where she serves as Research Director. Her work bridges machine learning, representation learning, and reinforcement learning with large language models in interactive systems.
- PhD in Computer Engineering from Nanyang Technological University (NTU), Singapore
- Postdoctoral training at Leibniz University Hannover (L3S Research Centre), Germany
Dr. Chen's research spans graph neural networks, time-series forecasting, and ethical AI. She develops zero/few-shot anomaly detection models and continual learning frameworks for dynamic environments. Her recent work includes trustworthy AI applications in medical imaging and fraud detection.
Her 15 most recent articles focus on graph foundation models, contrastive learning, multimodal medical report generation, and temporal-sensitive question answering. These reflect trends in graph anomaly detection, curriculum learning for Transformers, and ethical AI development.
Dr. Chen has received:
- ARC Future Fellowship (Level 3)
- COLING 2025 Best Short Paper Award
She supervises 25 PhD students, 4 Master-by-Research, and 4 postdoctoral researchers as part of AAII's team of over 30 researchers and 200 HDR students. She holds the IEEE Task Chair for Data Science and Advanced Analytics and collaborates with industry leaders like Facebook and TPG Telecom.
