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Journal Articles
- 2024
[j4]Hongshan Liu, Hong Gao, Zheng Li, Jiyao Xu, Weihua Bai, Longchang Sun, Zhongmu Li:
Response of NO 5.3 μm Emission to the Geomagnetic Storm on 24 April 2023. Remote. Sens. 16(19): 3683 (2024)- 2023
- [j3]Daozong Sun
, Rongxin Luo, Qi Guo, Jiaxing Xie, Hongshan Liu, Shilei Lyu, Xiuyun Xue, Zhen Li, Shuran Song:
A University Student Performance Prediction Model and Experiment Based on Multi-Feature Fusion and Attention Mechanism. IEEE Access 11: 112307-112319 (2023) - [j2]Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Teresa Wu:
Deep-Neural-Network-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging. IEEE Trans. Aerosp. Electron. Syst. 59(5): 4815-4830 (2023) - 2022
- [j1]Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan:
Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning. IEEE Trans. Biomed. Eng. 69(12): 3667-3677 (2022)
Conference and Workshop Papers
- 2023
- [c5]Ruxin Zheng, Hongshan Liu, Shunqiao Sun, Jian Li:
Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation. EUSIPCO 2023: 730-734 - [c4]Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan:
Structural Constrained Virtual Histology Staining for Human Coronary Imaging Using Deep Learning. ISBI 2023: 1-5 - 2022
- [c3]Ruxin Zheng, Hongshan Liu, Shunqiao Sun:
A Deep Learning Approach for Doppler Unfolding in Automotive TDM MIMO Radar. IEEECONF 2022: 1121-1125 - [c2]Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su:
Multi-scale sparse representation-based shadow inpainting for retinal OCT images. Medical Imaging: Image Processing 2022 - 2007
- [c1]Yili Fu, Peng Wang, Shuguo Wang, Hongshan Liu, Fuxiang Zhang:
Design and development of a portable exoskeleton based CPM machine for rehabilitation of hand injuries. ROBIO 2007: 1476-1481
Informal and Other Publications
- 2024
- [i7]Hongshan Liu, Tong Qin, Zhen Gao, Keke Ying, Ziwei Wan, Jingjing Zhao, Rui Na, Zhongxiang Li, Gaojie Chen, Chun Hu, Ruiqi Liu, Yikun Mei, Tuan Li, Tianqi Mao, Shuo Wang, Dezhi Zheng:
Near-Space Communications: The Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle. CoRR abs/2401.00283 (2024) - 2023
- [i6]Xueshen Li, Zhenxing Dong, Hongshan Liu, Jennifer J. Kang-Mieler, Yuye Ling, Yu Gan:
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network. CoRR abs/2307.11130 (2023) - [i5]Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan:
SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images. CoRR abs/2307.12138 (2023) - 2022
- [i4]Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su:
Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images. CoRR abs/2202.11377 (2022) - [i3]Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan:
Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning. CoRR abs/2204.11769 (2022) - [i2]Hongshan Liu, Colin Aderon, Noah Wagon, Huapu Liu, Steven L. MacCall, Yu Gan:
Deep Learning-based Automatic Player Identification and Logging in American Football Videos. CoRR abs/2204.13809 (2022) - [i1]Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan:
Structural constrained virtual histology staining for human coronary imaging using deep learning. CoRR abs/2211.06737 (2022)
Coauthor Index
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