Hongshan Liu

According to our database, Hongshan Liu authored at least 17 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Tianshuo Yang, Haibao Yu, Xiaokang Yang, Yusen Qin, Zhiqiang Xie, Yao Mu, Ping Luo, Tian Nian, Weiliang Deng, Yiheng Ge, Yibin Liu, Zixuan Li, Dehui Wang, Zhixuan Liang, Haohui Xie, Rijie Zeng, Yunfei Ge, Peiqing Cong, Guannan He, Zhaoming Han, Ruocheng Yin, Jingxiang Guo, Lunkai Lin, Tianling Xu, Hongzhe Bi, Xuewu Lin, Tianwei Lin, Shujie Luo, Keyu Li, Ziyan Zhao, Ke Fan, Heyang Xu, Bo Peng, Wenlong Gao, Dongjiang Li, Feng Jin, Hui Shen, Jinming Li, Chaowei Cui, Yuchen, Yaxin Peng, Lingdong Zeng, Wenlong Dong, Tengfei Li, Weijie Ke, Jun Chen, Erdemt Bao, Tian Lan, Tenglong Liu, Jin Yang, Huiping Zhuang, Baozhi Jia, Shuai Zhang, Zhengfeng Zou, Fangheng Guan, Tianyi Jia, Ke Zhou, Hongjiu Zhang, Yating Han, Cheng Fang, Yixian Zou, Chongyang Xu, Qinglun Zhang, Shen Cheng, Xiaohe Wang, Ping Tan, Haoqiang Fan, Shuaicheng Liu, Jiaheng Chen, Chuxuan Huang, Chengliang Lin, Kaijun Luo, Boyu Yue, Yi Liu, Jinyu Chen, Zichang Tan, Liming Deng, Shuo Xu, Zijian Cai, Shilong Yin, Hao Wang, Hongshan Liu, Tianyang Li, Long Shi, Ran Xu, Huilin Xu, Zhengquan Zhang, Congsheng Xu, Jinchang Yang, Feng Xu

CoRR, June, 2025

Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays.

Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Yimin D. Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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., October, 2024

Near-Space Communications: The Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle.

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

CoRR, 2024

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

Proceedings of the 58th Asilomar Conference on Signals, 2024

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., October, 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

CoRR, 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

CoRR, 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

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation.

Ruxin Zheng, Hongshan Liu, Shunqiao Sun, Jian Li

Proceedings of the 31st European Signal Processing Conference, 2023

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

IEEE Trans. Biomed. Eng., 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

CoRR, 2022

Multi-scale sparse representation-based shadow inpainting for retinal OCT images.

Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su

Proceedings of the Medical Imaging 2022: Image Processing, 2022

A Deep Learning Approach for Doppler Unfolding in Automotive TDM MIMO Radar.

Ruxin Zheng, Hongshan Liu, Shunqiao Sun

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2007

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

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007