publications
2025
2025
- The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance ImagingarXiv preprint arXiv:2503.09559, 2025
2024
2024
- 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
2023
- 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
2022
- Deep Domain Adversarial Adaptation for Photon-Efficient ImagingPhysical Review Applied, 2022
- Dynamic Single-Photon 3D Imaging with A Sparsity-Based Neural NetworkOptics Express, 2022
- Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear CorrelationsIEEE Transactions on Artificial Intelligence, 2022
- Robust Photon-Efficient Imaging Using A Pixel-Wise Residual Shrinkage NetworkOptics Express, 2022
2021
2021
- Quantum Language Model with Entanglement Embedding for Question AnsweringIEEE Transactions on Cybernetics, 2021
- Detecting Quantum Entanglement with Unsupervised LearningQuantum Science and Technology, 2021
2020
2020
- Efficient Asynchronous Vertical Federated Learning via Gradient Prediction and Double-End Sparse CompressionIn International Conference on Control, Automation, Robotics and Vision (ICARCV), 2020
2018
2018
- Robust Supervised Learning Based on Tensor Network MethodIn Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2018