I will be joining the Department of Data Science at City University of Hong Kong as a postdoctoral fellow in September 2025. I hold a PhD from Harbin Institute of Technology, under the supervision of Prof. SUN Jinwei and Prof. ZHANG Shiping, and I am concurrently pursuing a dual-degree PhD at The Hong Kong Polytechnic University, supervised by 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 TPAMI, TII, MSSP, TIM, TAI.

🔥 News

• 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

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)

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 WE Yu, J Sun, S Zhang, X Zhang, JX Liao*, A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network
• 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

• 2024.11 HIT Outstanding 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 - present, Ph.D Candidate, Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR
• 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

• 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.

💻 Work Experiences

• 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.