About
I am a PhD student at the School of Physics and Astronomy, The University of Edinburgh, advised by Prof. Chris Stock. I also work closely with Prof. Bo Liu at the University of Glasgow and Dr. Russell Ewings at STFC Rutherford Appleton Laboratory.
Prior to this, I obtained dual Bachelor of Engineering degrees with Honours in Communication Engineering and First Class Honours in Electronics & Electrical Engineering, respectively from the University of Electronic Science and Technology of China (UESTC) and the University of Glasgow.
I aim to develop the next generation of intelligent physical and engineering systems to support the fundamental understanding of complex dynamics and drive automated decision-making processes. By designing and integrating machine learning-assisted optimization, deep learning, and LLM-based frameworks, I strive to address large-scale and data-intensive challenges in scientific discovery and engineering workflows, such as handling large-scale neutron spectroscopy data in condensed matter physics, diagnosing faults in industrial systems, and automating the electronic design process.
Selected Publications
View All →AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis
Jiale Liu, Dandan Peng, Huan Wang, Chenyu Liu, Yan-Fu Li, Min Xie
IEEE Transactions on Cybernetics
InsightX Agent: An LMM-Based Agentic Framework With Integrated Tools for Reliable X-Ray NDT Analysis
Jiale Liu, Huan Wang, Yue Zhang, Xiaoyu Luo, Jiaxiang Hu, Zhiliang Liu, Min Xie
IEEE Transactions on Reliability
A Brain-Inspired Energy-Efficient Wide Spiking Residual Attention Framework for Intelligent Fault Diagnosis
Jiale Liu, Huan Wang†
Reliability Engineering & System Safety
