Yongcheng Liu

According to our database, Yongcheng Liu authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Joint Uplink and Downlink Channel Estimation for mmWave Massive MIMO Systems With Asymmetrical Transceiver Architecture.

Yongcheng Liu, Pengyuan Cheng, Min Li, Ming-Min Zhao

IEEE Wirel. Commun. Lett., June, 2024

Enhancing mmWave Beam Prediction through Deep Learning with Sub-6 GHz Channel Estimate.

Weicao Deng, Min Li, Yongcheng Liu, Ming-Min Zhao, Ming Lei

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Position-Aware Beam Training for Near-Field Milimeter-Wave XL-MIMO Communications.

Yongcheng Liu, Weicao Deng, Min Li, Min-Jian Zhao

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Leveraging Spatial Characteristics in Trajectory Compression: An Angle-Based Bounded-Error Method.

Yongcheng Liu, Xue Ouyang, Huan Zhou, Weichen Peng, Jieming Mao, Yongke Pan

Proceedings of the Data Science, 2024

2023

TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition.

Haowei Liu, Yongcheng Liu, Yuxin Chen, Chunfeng Yuan, Bing Li, Weiming Hu

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Deep Learning Aided Two-Stage Multi-Finger Beam Training in Millimeter-Wave Communication.

Yongcheng Liu, Min Li, Jiayu Zhang, Mengyu Wu, Liyan Li

IEEE Wirel. Commun. Lett., 2023

2022

The Effects of a Performance Enhancing Proxy on TCP Congestion Control over a Satellite Network.

Mingxi Liu, Yongcheng Liu, Zhifei Ma, Zachary Porter, Jae Chung, Saahil Claypool, Feng Li, Jacob Tutlis, Mark Claypool

Proceedings of the IEEE International Performance, 2022

Transtl: Spatial-Temporal Localization Transformer for Multi-Label Video Classification.

Hongjun Wu, Mengzhu Li, Yongcheng Liu, Hongzhe Liu, Cheng Xu, Xuewei Li

Proceedings of the IEEE International Conference on Acoustics, 2022

W-ART: Action Relation Transformer for Weakly-Supervised Temporal Action Localization.

Mengzhu Li, Hongjun Wu, Yongcheng Liu, Hongzhe Liu, Cheng Xu, Xuewei Li

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Differentiable Convolution Search for Point Cloud Processing.

Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

3D PostureNet: A unified framework for skeleton-based posture recognition.

Jianbo Liu, Ying Wang, Yongcheng Liu, Shiming Xiang, Chunhong Pan

Pattern Recognit. Lett., 2020

Deep Space Probing for Point Cloud Analysis.

Yirong Yang, Bin Fan, Yongcheng Liu, Hua Lin, Jiyong Zhang, Xin Liu, Xinyu Cai, Shiming Xiang, Chunhong Pan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

PointSpherical: Deep Shape Context for Point Cloud Learning in Spherical Coordinates.

Hua Lin, Bin Fan, Yongcheng Liu, Yirong Yang, Zheng Pan, Jianbo Shi, Chunhong Pan, Huiwen Xie

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Development and Application of Electric Peeling Tool for Distribution Work Operation Robot.

Yongcheng Liu, Xiaolin Ma, Hao Sun

Proceedings of the ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, 2020

Decoupled Representation Learning for Skeleton-Based Gesture Recognition.

Jianbo Liu, Yongcheng Liu, Ying Wang, Véronique Prinet, Shiming Xiang, Chunhong Pan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing.

Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Relation-Shape Convolutional Neural Network for Point Cloud Analysis.

Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network.

Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan

CoRR, 2018

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection.

Yongcheng Liu, Lu Sheng, Jing Shao, Junjie Yan, Shiming Xiang, Chunhong Pan

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017

Context-aware cascade network for semantic labeling in VHR image.

Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017