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Jing-Xiao Liao

ABOUT

Welcome to my website!

I am a dual degree PhD candidate enrolled at the Harbin Institute of Technology (Supervisors: Prof. SUN Jinwei, Dr. ZHANG Shiping) and The Hong Kong Polytechnic University (Superivisor: Dr. ZHANG Xiaoge). My research interests revolve around deep learning theory, quadratic neural networks, signal processing, and bearing faults diagnosis. Specifically, my current research focuses on quadratic neural networks and their application in the field of bearing faults diagnosis.

RESUME

PUBLICATIONS

2024

[1] 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 Transactions on Instrumentation and Measurement, vol. 73, pp. 1-14, 2024, Art no. 3506414, doi: 10.1109/TIM.2023.3346517[paper]

"The first lightweight CNN model deployed to the industrial-level pure FPGA chips."

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

[3] Jing-Xiao Liao, Bo-Jian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang*, Feng-Lei Fan*, Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection, IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2024.3394795. [paper]

"The approximation theroy of combining quadratic and conventional neural network."

[4] Jing-Xiao Liao , Jipu Li, Hang-Cheng Dong, Meiyan Zhang*, Shiping Zhang*, Xiaoge Zhang* Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction, IEEE Transactions on Industrial Informatics, Accept!

[5] Jing-Xiao Liao, Chao He, Jipu Li, Jinwei Sun, Shiping Zhang∗, Xiaoge Zhang∗, Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise [paper]

2023

[1] JX Liao, HC Dong, ZQ Sun, J Sun, S Zhang*, FL Fan*, Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis, IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, 2023, Art no. 3511113, doi: 10.1109/TIM.2023.3259031.[paper]

"The first paper that introduced quadratic neural network to bearing fault diagnosis."

[2] JX Liao, HC Dong, L Lou, J Sun, S Zhang*, Multi-task Neural Network Blind Deconvolution and its Application to Bearing Fault Feature Extraction, Measurement Science and Technology, DOI: 10.1088/1361-6501/accbdb.[paper]

"The first paper that utilized convolutional neural network to implement blind deconvolution in vibrational signal processing."

[3] 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. [paper]

"The theroy about the efficiency of quadratic network."

[4] Xiao-Cong Zhong, Qisong Wang, Dan Liu, Jing-Xiao Liao, Runze Yang, Sanhe Duan, Guohua Ding, Jinwei Sun, A deep domain adaptation framework with correlation alignment for EEG-based motor imagery classification, Computers in Biology and Medicine, DOI:https://doi.org/10.1016/j.compbiomed.2023.107235. [paper]

[5] Wei-En Yu, Jinwei Sun, Shiping Zhang*, Xiaoge Zhang*, Jing-Xiao Liao*, A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network, [paper]

[6] 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, [paper]

[7] 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, arXiv preprint arXiv:2311.05415 [paper]

2022

[1] H Dong, J Liao , Y Wang, Y Chen, B Liu, D Ye, G Liu*, Training neural networks for solving 1-D optimal piecewise linear approximation, Neurocomputing, 2022. [paper]

INVITED TALK

Jing-Xiao Liao , Hang-Cheng Dong, Zhi-Qi Sun, Jinwei Sun, Shiping Zhang, Feng-Lei Fan. "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, Guilin, China, 8-10 August, 2022.

AWARD

13th The China Graduate Electric Design Contest, National First Prize

Jing-Xiao Liao, Xiang-Long Kong, Tian-Yu Zou, Da-Peng Chen, 09/2021 - 07/2022

2023 Chen Fang Scholarship, Harbin Institute of Technology

EDUCATIONS

B.S., Harbin Institute of Technology, Harbin, China

Measurement and Control Technology and Instrumentation

09/2013 - 07/2017

M.Eng., Harbin Institute of Technology, Harbin, China

Instrumentation Engineering

07/2017 - 09/2019

Ph.D. Candidate, Harbin Institute of Technology, Harbin, China

Instrumentation Science and Technology

03/2021 - Present

Ph.D. Candidate, The Hong Kong Polytechnic University, Hong Kong, SAR of China

Industrial and Systems Engineering

09/2023 - Present

MY CONTACT DETAILS

Name: Jing-Xiao Liao

Address: VA302A, The Hong Kong Polytechnic University, Kowloon, Hong Kong

E-mail: jingxiao.liao@outlook.com

© 2023 - Jing-Xiao Liao