📝 Publications
Representative Works
IEEE TPAMIFL 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 NetworksMSSPJX 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 ProcessingIEEE TIIJX Liao , J Li, HC Dong, M Zhang, S Zhang, X Zhang* Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life PredictionIEEE TIMJX 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 TAIJX 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
JIIIC 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 monitoringIEEE TRWE 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
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MSSPJX 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 TPAMIFL 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 SensJ Tang, D Liu, Q Wang*, J Li, J Liao, J Sun, Marginal Contribution Spectral Fusion Network for Remote Hyperspectral Soil Organic Matter Estimation -
ArxivH Pei#, JX Liao#, Q Zhao, T Gao, S Zhang, X Zhang, F Fan, NeuronSeek: On Stability and Expressivity of Task-Driven Neurons -
ArxivJ Fan, Z Hao, J Shen, SL Jui, Y Zhang, JX Liao, FL Fan*, Compress Any Segment Anything Model (SAM) -
RESSC 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
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IEEE TIIJX 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 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 -
IEEE TAIJX 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 & ContinuaM. Zhang, B. Zhao, J. Sun, Q. Wang*, D. Liu, J. Li, J. Liao*, Research on Driver’s Fatigue Detection Based on Information Fusion -
IEEE JBHIXC 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 TIMJX 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)MSTJX 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 MedicineXC 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 ArxivHC 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