I am now a dual degree PhD candidate enrolled at the Harbin Institute of Technology (Supervisors: Prof. SUN Jinwei, Prof. ZHANG Shiping) and The Hong Kong Polytechnic University (Superivisor: Prof. ZHANG Xiaoge).

My research interests revolve around LLM compression, signal processing, and prognostics & health management (PHM). I have published 10+ papers at the flagship journals such as TII, MSSP, TIM. If you are seeking any form of academic cooperation, please feel free to email me at jingxiao.liao[at]outlook.com.

I graduated from School of Instrumentation Science and Engineering, Harbin Insititute of Technology (HIT) with B.S. and M.Eng. degrees. I also collaborate with Prof. Feng-Lei Fan from City Universitiy of Hong Kong (CityU) closely.

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

• 2025.03: Our tutorial proposal “Recently Advancement of Introducing Neural Diversity into Deep Learning “ has been accepted for presentation at the 2025 International Joint Conference on Neural Networks (IJCNN).

My full paper list is shown at my personal homepage.

• 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
• 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 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 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