Design and development of a portable exoskeleton based CPM machine for rehabilitation of hand injuries. - Yili Fu; Peng Wang; Shuguo Wang; Hongshan Liu; Fuxiang Zhang (ROBIO, 2007)

A Deep Learning Approach for Doppler Unfolding in Automotive TDM MIMO Radar. - Ruxin Zheng; Hongshan Liu; Shunqiao Sun (IEEECONF, 2022)

Multi-scale sparse representation-based shadow inpainting for retinal OCT images. - Yaoqi Tang; Yufan Li; Hongshan Liu; Jiaxuan Li; Peiyao Jin; Yu Gan 003; Yuye Ling; Yikai Su (Image Processing, 2022)

Deep Learning-based Automatic Player Identification and Logging in American Football Videos. - Hongshan Liu; Colin Aderon; Noah Wagon; Huapu Liu; Steven L. MacCall; Yu Gan 003 (CoRR, 2022)

Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning. - Xueshen Li; Shengting Cao; Hongshan Liu; Xinwen Yao; Brigitta C. Brott; Silvio H. Litovsky; Xiaoyu Song; Yuye Ling; Yu Gan 003 (IEEE Trans. Biomed. Eng., 2022)

Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation. - Ruxin Zheng; Hongshan Liu; Shunqiao Sun; Jian Li (EUSIPCO, 2023)

Structural Constrained Virtual Histology Staining for Human Coronary Imaging Using Deep Learning. - Xueshen Li; Hongshan Liu; Xiaoyu Song; Brigitta C. Brott; Silvio H. Litovsky; Yu Gan 003 (ISBI, 2023)

A University Student Performance Prediction Model and Experiment Based on Multi-Feature Fusion and Attention Mechanism. - Daozong Sun; Rongxin Luo; Qi Guo; Jiaxing Xie; Hongshan Liu; Shilei Lyu; Xiuyun Xue; Zhen Li; Shuran Song (IEEE Access, 2023)

Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network. - Xueshen Li; Zhenxing Dong; Hongshan Liu; Jennifer J. Kang-Mieler; Yuye Ling; Yu Gan 003 (CoRR, 2023)

SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images. - Xueshen Li; Hongshan Liu; Xiaoyu Song; Brigitta C. Brott; Silvio H. Litovsky; Yu Gan 003 (CoRR, 2023)

Deep-Neural-Network-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging. - Ruxin Zheng; Shunqiao Sun; Hongshan Liu; Teresa Wu (IEEE Trans. Aerosp. Electron. Syst., 2023)

Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays. - Ruxin Zheng; Shunqiao Sun; Hongshan Liu; Honglei Chen; Mojtaba Soltanalian; Jian Li 001 (IEEECONF, 2024)

Near-Space Communications: The Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle. - Hongshan Liu; Tong Qin; Zhen Gao 001; Keke Ying; Ziwei Wan; Jingjing Zhao; Rui Na; Zhongxiang Li; Gaojie Chen; Chun Hu; Ruiqi Liu; Yikun Mei; et al. (CoRR, 2024)

Response of NO 5.3 μm Emission to the Geomagnetic Storm on 24 April 2023. - Hongshan Liu; Hong Gao; Zheng Li; Jiyao Xu; Weihua Bai; Longchang Sun; Zhongmu Li (Remote. Sens., 2024)

Advancing High-Resolution and Efficient Automotive Radar Imaging through Domain-Informed 1D Deep Learning. - Ruxin Zheng; Shunqiao Sun; Hongshan Liu; Holger Caesar; Honglei Chen; Jian Li (ICASSP, 2025)

Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays. - Ruxin Zheng; Shunqiao Sun; Hongshan Liu; Yimin D. Zhang (ICASSP, 2025)

Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop. - Tianxing Chen; Kaixuan Wang; Zhaohui Yang; Yuhao Zhang; Zanxin Chen; Baijun Chen; Wanxi Dong; Ziyuan Liu; Dong Chen 003; Tianshuo Yang; Haibao Yu; Xiaokang Yang 001; et al. (CoRR, 2025)