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Yongcheng Liu
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2020 – today
- 2024
- [j4]Yongcheng Liu, Pengyuan Cheng, Min Li, Ming-Min Zhao:
Joint Uplink and Downlink Channel Estimation for mmWave Massive MIMO Systems With Asymmetrical Transceiver Architecture. IEEE Wirel. Commun. Lett. 13(6): 1556-1560 (2024) - [c14]Yongcheng Liu, Weicao Deng, Min Li, Min-Jian Zhao:
Position-Aware Beam Training for Near-Field Milimeter-Wave XL-MIMO Communications. VTC Spring 2024: 1-6 - [c13]Weicao Deng, Min Li, Yongcheng Liu, Ming-Min Zhao, Ming Lei:
Enhancing mmWave Beam Prediction through Deep Learning with Sub-6 GHz Channel Estimate. WCNC 2024: 1-6 - 2023
- [j3]Haowei Liu, Yongcheng Liu, Yuxin Chen, Chunfeng Yuan, Bing Li, Weiming Hu:
TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4137-4148 (2023) - [j2]Yongcheng Liu, Min Li, Jiayu Zhang, Mengyu Wu, Liyan Li:
Deep Learning Aided Two-Stage Multi-Finger Beam Training in Millimeter-Wave Communication. IEEE Wirel. Commun. Lett. 12(1): 26-30 (2023) - 2022
- [c12]Hongjun Wu, Mengzhu Li, Yongcheng Liu, Hongzhe Liu, Cheng Xu, Xuewei Li:
Transtl: Spatial-Temporal Localization Transformer for Multi-Label Video Classification. ICASSP 2022: 1965-1969 - [c11]Mengzhu Li, Hongjun Wu, Yongcheng Liu, Hongzhe Liu, Cheng Xu, Xuewei Li:
W-ART: Action Relation Transformer for Weakly-Supervised Temporal Action Localization. ICASSP 2022: 2195-2199 - [c10]Mingxi Liu, Yongcheng Liu, Zhifei Ma, Zachary Porter, Jae Chung, Saahil Claypool, Feng Li, Jacob Tutlis, Mark Claypool:
The Effects of a Performance Enhancing Proxy on TCP Congestion Control over a Satellite Network. IPCCC 2022: 325-331 - 2021
- [c9]Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan:
Differentiable Convolution Search for Point Cloud Processing. ICCV 2021: 7417-7426 - [i5]Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan:
Differentiable Convolution Search for Point Cloud Processing. CoRR abs/2108.12856 (2021) - 2020
- [j1]Jianbo Liu, Ying Wang, Yongcheng Liu, Shiming Xiang, Chunhong Pan:
3D PostureNet: A unified framework for skeleton-based posture recognition. Pattern Recognit. Lett. 140: 143-149 (2020) - [c8]Jianbo Liu, Yongcheng Liu, Ying Wang, Véronique Prinet, Shiming Xiang, Chunhong Pan:
Decoupled Representation Learning for Skeleton-Based Gesture Recognition. CVPR 2020: 5750-5759 - [c7]Yongcheng Liu, Xiaolin Ma, Hao Sun:
Development and Application of Electric Peeling Tool for Distribution Work Operation Robot. ICITEE 2020: 250-254 - [c6]Yirong Yang, Bin Fan, Yongcheng Liu, Hua Lin, Jiyong Zhang, Xin Liu, Xinyu Cai, Shiming Xiang, Chunhong Pan:
Deep Space Probing for Point Cloud Analysis. ICPR 2020: 10235-10242 - [c5]Hua Lin, Bin Fan, Yongcheng Liu, Yirong Yang, Zheng Pan, Jianbo Shi, Chunhong Pan, Huiwen Xie:
PointSpherical: Deep Shape Context for Point Cloud Learning in Spherical Coordinates. ICPR 2020: 10266-10273
2010 – 2019
- 2019
- [c4]Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan:
Relation-Shape Convolutional Neural Network for Point Cloud Analysis. CVPR 2019: 8895-8904 - [c3]Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan:
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. ICCV 2019: 5238-5247 - [i4]Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan:
Relation-Shape Convolutional Neural Network for Point Cloud Analysis. CoRR abs/1904.07601 (2019) - [i3]Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan:
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. CoRR abs/1909.03669 (2019) - 2018
- [c2]Yongcheng Liu, Lu Sheng, Jing Shao, Junjie Yan, Shiming Xiang, Chunhong Pan:
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection. ACM Multimedia 2018: 700-708 - [i2]Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan:
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network. CoRR abs/1807.11236 (2018) - [i1]Yongcheng Liu, Lu Sheng, Jing Shao, Junjie Yan, Shiming Xiang, Chunhong Pan:
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection. CoRR abs/1809.05884 (2018) - 2017
- [c1]Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan:
Context-aware cascade network for semantic labeling in VHR image. ICIP 2017: 575-579
Coauthor Index
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last updated on 2024-10-08 20:31 CEST by the dblp team
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