I am currently a postdoctoral fellow (Co-Principal Investigator) at the Frontier of Artificial Networks Lab, Department of Data Science, City University of Hong Kong (Supervisor: Prof. Feng-Lei Fan). I hold a PhD degree from Harbin Institute of Technology, under the supervision of Prof. SUN Jinwei and Prof. ZHANG Shiping, and also hold a dual PhD degree at The Hong Kong Polytechnic University, supervised by Prof. ZHANG Xiaoge.

My research interests revolve around signal processing, prognostics & health management (PHM), and model compression. I have published 10+ papers at the flagship journals such as TPAMI, TII, MSSP, TIM.

Previously, I graduated from the School of Instrumentation Science and Engineering, Harbin Institute of Technology (HIT) with B.S. and M.Eng. degrees.

I am seeking self-motivated students for remote positions as Intern Engineers and Research Assistants. Successful applicants will be affiliated with the Shenzhen Research Institute of Big Data (深圳市大数据研究院), a research institute of the Chinese University of Hong Kong (Shenzhen). Our research focuses on LLM foundation models, AI agents, industrial AI, and PHM. If you are interested in these areas, please feel free to contact me at jingxiao.liao[at]cityu.edu.hk.

Our research group can provide internship certificates and recommendation letters for outstanding students, and support applications for Ph.D. programs in the United States and Hong Kong SAR.

• Personal Pages: https://jingxiaoliao.github.io (updated recently🔥)
• Google Scholar: https://scholar.google.com/citations?user=SCHOLAR_ID&user=iGEsvrQAAAAJ

My full paper list is shown at my personal homepage.

• IEEE TR WE Yu, S Zhang*, J Sun, JX Liao*, X Zhang*, A Class-Aware Supervised Contrastive Quadratic Neural Network for Imbalanced Bearing Fault Diagnosis

• MSSP JX Liao, C He, J Li, J Sun, S Zhang∗, X Zhang∗, Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise, Mechanical Systems and Signal Processing(ESI High Cited Paper)

• IEEE TIM JX Liao, HC Dong, ZQ Sun, J Sun, S Zhang*, FL Fan*, Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis, (ESI High Cited Paper)

• IEEE TIMJX Liao, SL Wei, CL Xie, T Zeng, J Sun, S Zhang*, X Zhang*, FL Fan*, BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration

• MST JX Liao, HC Dong, L Lou, J Sun, S Zhang*, Multi-task Neural Network Blind Deconvolution and its Application to Bearing Fault Feature Extraction

• IEEE TPAMI FL Fan, HC Dong, Z Wu, L Ruan, T Zeng*, Y Cui*, JX Liao*, One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks

• Arxiv H Pei#, JX Liao#, Q Zhao, T Gao, S Zhang, X Zhang*, F Fan*, NeuronSeek: On Stability and Expressivity of Task-Driven Neurons

• IEEE TAI JX Liao, BJ Hou, HC Dong, H Zhang, X Zhang, J Sun, S Zhang*, FL Fan*, Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection

• Arxiv J Fan, Z Hao, J Shen, SL Jui, Y Zhang, JX Liao, FL Fan*, Compress Any Segment Anything Model (SAM)

• IJCNN2025 Tutorial: "Recently Advancement of Introducing Neuronal Diversity into Deep Learning" Slide.