Context-aware cascade network for semantic labeling in VHR image. - Yongcheng Liu; Bin Fan 001; Lingfeng Wang 002; Jun Bai; Shiming Xiang; Chunhong Pan (ICIP, 2017)

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection. - Yongcheng Liu; Lu Sheng; Jing Shao; Junjie Yan; Shiming Xiang; Chunhong Pan (ACM Multimedia, 2018)

Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network. - Yongcheng Liu; Bin Fan 001; Lingfeng Wang 002; Jun Bai; Shiming Xiang; Chunhong Pan (CoRR, 2018)

Relation-Shape Convolutional Neural Network for Point Cloud Analysis. - Yongcheng Liu; Bin Fan 001; Shiming Xiang; Chunhong Pan (CVPR, 2019)

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. - Yongcheng Liu; Bin Fan 001; Gaofeng Meng; Jiwen Lu; Shiming Xiang; Chunhong Pan (ICCV, 2019)

Decoupled Representation Learning for Skeleton-Based Gesture Recognition. - Jianbo Liu; Yongcheng Liu; Ying Wang 008; Véronique Prinet; Shiming Xiang; Chunhong Pan (CVPR, 2020)

Development and Application of Electric Peeling Tool for Distribution Work Operation Robot. - Yongcheng Liu; Xiaolin Ma; Hao Sun (ICITEE, 2020)

PointSpherical: Deep Shape Context for Point Cloud Learning in Spherical Coordinates. - Hua Lin; Bin Fan 001; Yongcheng Liu; Yirong Yang; Zheng Pan; Jianbo Shi; Chunhong Pan; Huiwen Xie (ICPR, 2020)

Deep Space Probing for Point Cloud Analysis. - Yirong Yang; Bin Fan 001; Yongcheng Liu; Hua Lin; Jiyong Zhang; Xin Liu 027; Xinyu Cai; Shiming Xiang; Chunhong Pan (ICPR, 2020)

3D PostureNet: A unified framework for skeleton-based posture recognition. - Jianbo Liu; Ying Wang 008; Yongcheng Liu; Shiming Xiang; Chunhong Pan (Pattern Recognit. Lett., 2020)

Differentiable Convolution Search for Point Cloud Processing. - Xing Nie; Yongcheng Liu; Shaohong Chen; Jianlong Chang; Chunlei Huo; Gaofeng Meng; Qi Tian 001; Weiming Hu; Chunhong Pan (ICCV, 2021)

W-ART: Action Relation Transformer for Weakly-Supervised Temporal Action Localization. - Mengzhu Li; Hongjun Wu 002; Yongcheng Liu; Hongzhe Liu; Cheng Xu 005; Xuewei Li 006 (ICASSP, 2022)

Transtl: Spatial-Temporal Localization Transformer for Multi-Label Video Classification. - Hongjun Wu 002; Mengzhu Li; Yongcheng Liu; Hongzhe Liu; Cheng Xu 005; Xuewei Li 006 (ICASSP, 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 (IPCCC, 2022)

Deep Learning Aided Two-Stage Multi-Finger Beam Training in Millimeter-Wave Communication. - Yongcheng Liu; Min Li 008; Jiayu Zhang; Mengyu Wu; Liyan Li (IEEE Wirel. Commun. Lett., 2023)

TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition. - Haowei Liu; Yongcheng Liu; Yuxin Chen; Chunfeng Yuan; Bing Li 001; Weiming Hu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Leveraging Spatial Characteristics in Trajectory Compression: An Angle-Based Bounded-Error Method. - Yongcheng Liu; Xue Ouyang; Huan Zhou 006; Weichen Peng; Jieming Mao; Yongke Pan (ICPCSEE (2), 2024)

Position-Aware Beam Training for Near-Field Milimeter-Wave XL-MIMO Communications. - Yongcheng Liu; Weicao Deng; Min Li 008; Min-Jian Zhao 001 (VTC Spring, 2024)

Enhancing mmWave Beam Prediction through Deep Learning with Sub-6 GHz Channel Estimate. - Weicao Deng; Min Li 008; Yongcheng Liu; Ming-Min Zhao; Ming Lei 001 (WCNC, 2024)

Joint Uplink and Downlink Channel Estimation for mmWave Massive MIMO Systems With Asymmetrical Transceiver Architecture. - Yongcheng Liu; Pengyuan Cheng; Min Li 008; Ming-Min Zhao (IEEE Wirel. Commun. Lett., 2024)

Approved trends and product characteristics of digital therapeutics in four countries. - Jun Liang; Qichuan Fang; Xiaoyi Jiao; Peng Xiang; Junhao Ma; Zijiao Zhang; Yongcheng Liu; Yunfan He; Yingjun Li; Zhixu He; Jianbo Lei (npj Digit. Medicine, 2025)