JL
Jingxiao Liao
City University of Hong Kong, Hong Kong Polytechnic University, Harbin Institute of Technology
Research areas: Computer Science · Artificial Intelligence · Machine Fault Diagnosis Techniques · Fault Detection and Control Systems · Neural Networks and Applications
0000-0002-1880-2621
Employment
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City University of Hong Kong Postdoctoral2025 - Present
Education
- 2023 - 2025
- 2021 - 2025
- 2017 - 2019
- 2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (36)
- Heterogeneous neural blind deconvolution: A signal processing-empowered foundation feature extractor for bearing fault diagnosis Save
- Gait recognition device based on multiple sensors Save
- Prior knowledge-embedded first-layer interpretable paradigm for rail transit vehicle human–computer collaboration fault monitoring Save
- A Wearable Multi-Modal Measurement System with Self-Developed IMUs and Plantar Pressure Sensors for Real-Time Gait Recognition Save
- Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems Save
- A Class-Aware Supervised Contrastive Quadratic Neural Network for Imbalanced Bearing Fault Diagnosis Save
- Constraint- and Budget-Aware Neural-Guided Search for Coordinated Photovoltaic-Storage-Charging Scheduling Save
- Marginal Contribution Spectral Fusion Network for Remote Hyperspectral Soil Organic Matter Estimation Save
- EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification Save
- Classifier-guided neural blind deconvolution: A physics-informed denoising module for bearing fault diagnosis under noisy conditions Save
- NeuronSeek: On Stability and Expressivity of Task-driven Neurons Save
- One Neuron Saved is One Neuron Earned: On Parametric Efficiency of Quadratic Networks Save
- Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection Save
- BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration Save
- Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise Save
- Global-Local Continual Transfer Network for Intelligent Fault Diagnosis of Rotating Machinery Save
- Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction Save
- Remote Gait Behavior Monitoring System for Older People Based on Wearable Sensor Save
- Research on Driver’s Fatigue Detection Based on Information Fusion Save
- A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network Save