I am currently a postdoctoral fellow 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 from Harbin Institute of Technology, under the supervision of Prof. SUN Jinwei and Prof. ZHANG Shiping, and a 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, TAI.

🔥 News

• 2026.02 Our paper “A Class-Aware Supervised Contrastive Quadratic Neural Network for Imbalanced Bearing Fault Diagnosis” has been accepted at IEEE Transactions on Reliability.

• 2026.01 Our paper “Prior knowledge-embedded first-layer interpretable paradigm for rail transit vehicle human-computer collaboration fault monitoring” has been accepted at Journal of Industrial Information Integration.

• 2025.12 I have successfully defended my PhD dissertation in PolyU and became a dual Ph.D.

• 2025.11 Our paper “Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems” has been accepted at Reliability Engineering & System Safety.

• 2025.08 Our paper “Marginal Contribution Spectral Fusion Network for Remote Hyperspectral Soil Organic Matter Estimation” has been accepted at Remote Sensing.

• 2025.08 I have successfully defended my PhD dissertation and became a Ph.D.

• 2025.07 Our paper “One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks” has been accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence.

• 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) Slide.

📝 Publications

Representative Works

• 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
• 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 TII JX Liao , J Li, HC Dong, M Zhang, S Zhang, X Zhang* Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction
• 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 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

2026

• JIII C He, H Shi, JX Liao, B Liu, Q Liu, J Li, Z Yu, Prior knowledge-embedded first-layer interpretable paradigm for rail transit vehicle human-computer collaboration fault monitoring
• IEEE TR WE Yu, S Zhang, J Sun, JX Liao*, X Zhang, A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network

2025

• 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 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

• Remote Sens J Tang, D Liu, Q Wang*, J Li, J Liao, J Sun, Marginal Contribution Spectral Fusion Network for Remote Hyperspectral Soil Organic Matter Estimation

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

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

• RESS C Li, P Dong, Y Jin, JX Liao, SH Chung, C Jiang, X Zhang* Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems

2024

• IEEE TII JX Liao , J Li, HC Dong, M Zhang, S Zhang, X Zhang* Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction

• IEEE TIM JX 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

• 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

• Computers, Materials & Continua M. Zhang, B. Zhao, J. Sun, Q. Wang*, D. Liu, J. Li, J. Liao*, Research on Driver’s Fatigue Detection Based on Information Fusion

• IEEE JBHI XC Zhong, Q Wang, D Liu, Z Chen, J Liao, J Sun, Y Zhang, FL Fan, EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification

2023

• 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)
• 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

• Computers in Biology and Medicine XC Zhong, Q Wang*, D Liu, J-X Liao, R Yang, S Duan, G Ding, J Sun, A deep domain adaptation framework with correlation alignment for EEG-based motor imagery classification

• Arxiv HC Dong, Y Jiang, Y Huang, J Liao , B Liu, D Ye, G Liu, Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise

2022

• NeurocomputingH Dong, J Liao , Y Wang, Y Chen, B Liu, D Ye, G Liu*, Training neural networks for solving 1-D optimal piecewise linear approximation

🎖 Honors and Awards

• 2025.09 Outstanding PhD Thesis Nomination Award (TOP 10%), Harbin Institute of Technology
• 2024.11 HIT Merit Student
• 2023.11 Chen Fang Scholarship, Harbin Institute of Technology
• 2023.09 Research Postgraduate Scholarship for Dual Ph.D Programme, The Hong Kong Polytechnic University
• 2018.08 13th The China Graduate Electric Design Contest, National First Prize

📖 Educations

• 2023.09 - 2025.12, Ph.D., Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
• 2021.03 - 2025.08, Ph.D., Instrumentation Science and Technology, Harbin Institute of Technology, Harbin, China
• 2017.09 - 2019.06, M.Eng. (with thesis), Instrumentation Engineering, Harbin Institute of Technology, Harbin, China
• 2013.09 - 2017.07, B.S., Measurement and Control Technology and Instrumentation, Harbin Institute of Technology, Harbin, China

💬 Invited Talks

• 2026.01 “Advancement of Nonlinear Neural Networks.” Huawei, Dongguan, China

• 2025.11 “Uncertainty-Aware Heterogeneous Neural Blind Deconvolution Ensemble Network for Reliable System-Level Fault Diagnosis in Railway Transmission Systems.” The sixth International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence, Guangzhou, China

• 2025.07, “Recently Advancement of Introducing Neural Diversity into Deep Learning.” At International Joint Conference on Neural Networks (IJCNN), Rome, Italy. [Slide]
• 2022.08, “Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis”. At the 2nd International High-level Forum on High-end Measurement Instruments & 12th International Symposium on Precision Engineering Measurements and Instrumentation (Tier 1 conference in Instrumentation Science), Guilin, China.

👨🏻‍🏫 Teaching

• PolyU: ISE5606 Business Intelligence and Data Mining, 23/24 Spring, Teaching Assistant
• PolyU: ISE328 Technology and Applications of Electronic Business Systems, 24/25 Fall, Teaching Assistant
• PolyU: ENG3004 Society and the Engineer, 24/25 Spring, Teaching Assistant

💻 Work Experiences

• 2025.09 - present, Postdoctoral (PT), Department of Data Science, City University of Hong Kong.
• 2025.09 - 2025.12, Research Assistant (PT), Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University.
• 2023.07 - 2023.09, Research Assistant, Department of Mathematics, Chinese University of Hong Kong.
• 2020.08 - 2021.02, Research Assistant, School of Instrumentation Science and Engineering, Harbin Institute of Technology.
• 2019.07 - 2020.07, Control & Navigation Engineer, Chang Hong Machinery Factory.