Yiwei Chen (陈逸威)
Associate Professor
Yunnan-Malaya Institute (School of Engineering)
Yunnan University
Room 2306
I am an Associate Professor and Master’s Supervisor at Yunnan University. My group develops data-efficient methods for quantum machine learning, single-photon and computational imaging, and industrial signal processing.
I received my B.Eng. (2018) and Ph.D. in Control Science and Engineering (2023) from Zhejiang University, then worked on computational imaging as a postdoctoral researcher at Heriot-Watt University in Edinburgh. I lead projects supported by the NSFC and Yunnan Province; my CV provides more detail.
My work has appeared in Physical Review A, Optics Express, IEEE Transactions on Cybernetics, IEEE Transactions on Instrumentation and Measurement, and other journals and conferences. I received the IOP Trusted Reviewer certification and the 2025 IEEE TIM Outstanding Reviewer honor.
Join the team
We welcome students and collaborators interested in quantum machine learning, computational imaging, and industrial signal processing. Building on these strengths, we plan to combine large language models with domain knowledge to develop domain-specific foundation models for scientific and industrial applications.
Our team works closely with research groups at Zhejiang University, the National University of Singapore, the University of Edinburgh, and the University of Technology Sydney.
research directions
Quantum Machine Learning
Quantum-inspired models, quantum-state analysis, and efficient machine learning methods.
Related publications
Single-Photon & Computational Imaging
Photon-efficient 3D sensing, image reconstruction, MRI, and cross-modal image analysis.
Related publications
- Agentic planning for image restoration (2026)
- Trustworthy image super-resolution (2026)
- Sensor-aware physical modelling for single-photon imaging (2026)
- Single-photon image super-resolution via self-supervised learning (2023)
- A compact upconversion single-photon imager (2023)
- Deep domain adversarial adaptation for photon-efficient imaging (2022)
Industrial Signal Processing
Data-driven monitoring, diagnosis, prediction, and control for industrial processes.
Related publications
- Visual-frequency fusion for industrial oscillation monitoring (2026)
- Wavelet fusion for industrial particle image analysis (2026)
- Oscillation detection for industrial process control loops (2025)
- Root cause diagnosis of plant-wide oscillations (2025)
- Performance optimization of industrial PID control loops (2025)
news
| Oct 2026 | Our paper on Hamiltonian-induced error-channel control was published in Physical Review A. It studies how quantum state-transfer errors can be shaped for controlled convergence. |
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| Oct 2026 | Our sensor-aware single-photon imaging study appeared in Optics Express. It brings sensing physics into deep learning-based image reconstruction. |
| Oct 2026 | Our visual-frequency fusion study is available in Engineering Applications of Artificial Intelligence. It detects and quantifies oscillations in industrial control loops. |
| Oct 2026 | Our REPAIR image restoration study appeared in Pattern Recognition. It uses validity-guided agentic planning to address extreme compound degradations. |
| Sep 2026 | Our trustworthy super-resolution study appeared in the September issue of Pattern Recognition. It combines aperture, orientation, and spectrum cues with a security-aware repair step. |
| Aug 2026 | Our wavelet fusion study appeared in the August issue of Expert Systems with Applications. It segments and measures diammonium phosphate particles from images. |
selected publications
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Hamiltonian-induced Error-Channel Control for Lyapunov Quantum State TransferPhysical Review A, 2026 -
Sensor-aware Physical Modelling for Deep Learning-based Single-Photon ImagingOptics Express, 2026 -
Visual-frequency Bimodal Fusion Networks for Oscillation Detection and Quantification in Industrial Control LoopsEngineering Applications of Artificial Intelligence, 2026 -
Quantum-inspired Neural Networks with Stochastic Dynamics for Multimodal Sentiment Analysis and Sarcasm DetectionEngineering Applications of Artificial Intelligence, 2026 -
Quantum-inspired Multimodal Fusion with Lindblad Master Equation for Sentiment AnalysisNeurocomputing, 2025 -
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance ImagingarXiv preprint arXiv:2503.09559, 2025 -
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 -
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Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear CorrelationsIEEE Transactions on Artificial Intelligence, 2023 -
Robust Photon-Efficient Imaging Using A Pixel-Wise Residual Shrinkage NetworkOptics Express, 2022 -
Quantum Language Model with Entanglement Embedding for Question AnsweringIEEE Transactions on Cybernetics, 2023 -