Efficient Asynchronous Vertical Federated Learning via Gradient Prediction and Double-End Sparse Compression. - Ming Li; Yiwei Chen 002; Yiqin Wang; Yu Pan 001 (ICARCV, 2020)

Detecting quantum entanglement with unsupervised learning. - Yiwei Chen 002; Yu Pan 001; Guofeng Zhang 003; Shuming Cheng (CoRR, 2021)

Residual Tensor Train: a Flexible and Efficient Approach for Learning Multiple Multilinear Correlations. - Yiwei Chen 002; Yu Pan 001; Daoyi Dong (CoRR, 2021)

Robust photon-efficient imaging using a pixel-wise residual shrinkage network. - Gongxin Yao; Yiwei Chen 002; Yong Liu 007; Xiaomin Hu; Yu Pan 001 (CoRR, 2022)

Deep Domain Adversarial Adaptation for Photon-efficient Imaging Based on Spatiotemporal Inception Network. - Yiwei Chen 002; Gongxin Yao; Yong Liu 007; Yu Pan 001 (CoRR, 2022)

Single-Photon Image Super-Resolution via Self-Supervised Learning. - Yiwei Chen 002; Chen Jiang; Yu Pan 001 (ICASSP, 2023)

CFI2P: Coarse-to-Fine Cross-Modal Correspondence Learning for Image-to-Point Cloud Registration. - Gongxin Yao; Yixin Xuan; Yiwei Chen 002; Yu Pan 001 (CoRR, 2023)

A Compact Upconversion Single-Photon Imager for Full-Range and Accurate 3-D Imaging. - Yiwei Chen 002; Chen Jiang; Yong Liu 007; Hongye Su; Xiaomin Hu; Yu Pan 001 (IEEE Trans. Instrum. Meas., 2023)

Quantum Language Model With Entanglement Embedding for Question Answering. - Yiwei Chen 002; Yu Pan 001; Daoyi Dong (IEEE Trans. Cybern., 2023)

Residual Tensor Train: A Quantum-Inspired Approach for Learning Multiple Multilinear Correlations. - Yiwei Chen 002; Yu Pan 001; Daoyi Dong (IEEE Trans. Artif. Intell., 2023)

Quantum-inspired multimodal fusion with Lindblad master equation for sentiment analysis. - Kehuan Yan; Peichao Lai; Yang Yang; Yi Ren; Tuyatsetseg Badarch; Yiwei Chen 002; Xianghan Zheng (Neurocomputing, 2025)