Hongshan Liu

19 papers B 1Misc 2Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Advancing High-Resolution and Efficient Automotive Radar Imaging through Domain-Informed 1D Deep Learning.
ICASSP
Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Holger Caesar, Honglei Chen, Jian Li
2025 Misc conf
Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays.
ICASSP
Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Yimin D. Zhang
2024 — conf
Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays.
IEEECONF
Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Honglei Chen, Mojtaba Soltanalian, Jian Li
2024 J jnl
Near-Space Communications: The Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle.
CoRR
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
2024 J jnl
Response of NO 5.3 μm Emission to the Geomagnetic Storm on 24 April 2023.
Remote. Sens.
Hongshan Liu, Hong Gao, Zheng Li, Jiyao Xu, Weihua Bai, Longchang Sun, Zhongmu Li
2023 J jnl
A University Student Performance Prediction Model and Experiment Based on Multi-Feature Fusion and Attention Mechanism.
IEEE Access
Daozong Sun, Rongxin Luo, Qi Guo, Jiaxing Xie, Hongshan Liu, Shilei Lyu, Xiuyun Xue, Zhen Li, Shuran Song
2023 — conf
Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation.
EUSIPCO
Ruxin Zheng, Hongshan Liu, Shunqiao Sun, Jian Li
2023 J jnl
Deep-Neural-Network-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging.
IEEE Trans. Aerosp. Electron. Syst.
Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Teresa Wu
2023 J jnl
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network.
CoRR
Xueshen Li, Zhenxing Dong, Hongshan Liu, Jennifer J. Kang-Mieler, Yuye Ling, Yu Gan
2023 J jnl
SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images.
CoRR
Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan
2023 — conf
Structural Constrained Virtual Histology Staining for Human Coronary Imaging Using Deep Learning.
ISBI
Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan
2022 — conf
A Deep Learning Approach for Doppler Unfolding in Automotive TDM MIMO Radar.
IEEECONF
Ruxin Zheng, Hongshan Liu, Shunqiao Sun
2022 J jnl
Deep Learning-based Automatic Player Identification and Logging in American Football Videos.
CoRR
Hongshan Liu, Colin Aderon, Noah Wagon, Huapu Liu, Steven L. MacCall, Yu Gan
2022 J jnl
Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning.
IEEE Trans. Biomed. Eng.
Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan
2022 J jnl
Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images.
CoRR
Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su
2022 J jnl
Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning.
CoRR
Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan
2022 B conf
Multi-scale sparse representation-based shadow inpainting for retinal OCT images.
Image Processing
Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su
2022 J jnl
Structural constrained virtual histology staining for human coronary imaging using deep learning.
CoRR
Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan
2007 — conf
Design and development of a portable exoskeleton based CPM machine for rehabilitation of hand injuries.
ROBIO
Yili Fu, Peng Wang, Shuguo Wang, Hongshan Liu, Fuxiang Zhang