publications
Research publications grouped by direction
Quantum Machine Learning
Quantum-inspired models, quantum-state analysis, and efficient machine learning methods.
2026
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Hamiltonian-induced Error-Channel Control for Lyapunov Quantum State TransferPhysical Review A, 2026 -
Quantum-inspired Neural Networks with Stochastic Dynamics for Multimodal Sentiment Analysis and Sarcasm DetectionEngineering Applications of Artificial Intelligence, 2026
2025
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Quantum-inspired Multimodal Fusion with Lindblad Master Equation for Sentiment AnalysisNeurocomputing, 2025 -
QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment AnalysisarXiv preprint arXiv:2510.27091, 2025
2023
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Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear CorrelationsIEEE Transactions on Artificial Intelligence, 2023 -
Quantum Language Model with Entanglement Embedding for Question AnsweringIEEE Transactions on Cybernetics, 2023
2022
2020
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Efficient Asynchronous Vertical Federated Learning via Gradient Prediction and Double-End Sparse CompressionIn International Conference on Control, Automation, Robotics and Vision (ICARCV), 2020
2018
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Robust Supervised Learning Based on Tensor Network MethodIn Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2018
Single-Photon & Computational Imaging
Photon-efficient 3D sensing, image reconstruction, MRI, and cross-modal image analysis.
2026
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REPAIR: Validity-guided Agentic Planning for Image Restoration under Extreme Compound DegradationsPattern Recognition, 2026 -
AOSNet-Sec: Aperture-orientation-spectrum Fusion with Statistical Markov Repair for Trustworthy Super-ResolutionPattern Recognition, 2026 -
Sensor-aware Physical Modelling for Deep Learning-based Single-Photon ImagingOptics Express, 2026
2025
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Xception-CM: A Deep Learning Approach for Non-Invasive Skin Barrier Function Assessment Using Dermoscopic ImagesIn International Conference on Computer Vision, Robotics and Automation Engineering (CRAE), 2025 -
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance ImagingarXiv preprint arXiv:2503.09559, 2025
2024
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Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2In European Signal Processing Conference (EUSIPCO), 2024 -
Quantity-Aware Coarse-to-Fine Correspondence for Image-to-Point Cloud RegistrationIEEE Sensors Journal, 2024
2023
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Single-Photon Image Super-Resolution via Self-supervised LearningIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 -
A Compact Upconversion Single-Photon Imager for Full-Range and Accurate 3-D ImagingIEEE Transactions on Instrumentation and Measurement, 2023
2022
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Robust Photon-Efficient Imaging Using A Pixel-Wise Residual Shrinkage NetworkOptics Express, 2022
Industrial Signal Processing
Data-driven monitoring, diagnosis, prediction, and control for industrial processes.
2026
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Visual-frequency Bimodal Fusion Networks for Oscillation Detection and Quantification in Industrial Control LoopsEngineering Applications of Artificial Intelligence, 2026 -
Multi-scale Wavelet Low-frequency Fusion Network for Particle Image Segmentation and Size Analysis of Diammonium PhosphateExpert Systems with Applications, 2026 -
Mask-Enhanced and Regularization-Driven Semi-Supervised Learning for Industrial Soft SensorIn IFAC World Congress, 2026 -
ResTT-SS: A Quantum-Inspired Framework for Industrial Soft SensingIn IFAC World Congress, 2026
2025
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Oscillation Detection for Industrial Process Control Loops Based on Transformer EncoderIn China Automation Congress (CAC), 2025 -
Performance Optimization of Industrial PID Control Loops Using Deep Reinforcement LearningIn China Automation Congress (CAC), 2025 -
Root Cause Diagnosis of Plant-Wide Oscillations Using Partial Cross MappingIn China Automation Congress (CAC), 2025 -
A Hybrid Deep Learning Model for Soft Sensor-Based Quality Prediction in Industrial ProcessesIn China Automation Congress (CAC), 2025 -
A Lightweight Dual-Path MLP Framework with Gated Attention and Dynamic Tanh for Remaining Useful Life PredictionIn China Automation Congress (CAC), 2025 -
An Expert Knowledge-Based Framework for Online Control Loop Performance EvaluationIn China Automation Congress (CAC), 2025