Xing Li

Orcid: 0000-0002-0881-0978

Affiliations:
  • Nanjing Forestry University, College of Information Science and Technology, College of Artificial intelligence, China
  • Hohai University, School of Computer and Information, Nanjing, China (PhD 2023)


According to our database1, Xing Li authored at least 26 papers between 2019 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
MD-PCSN: Meta-Motion Decoupling Point Cloud Sequence Network for Privacy-Preserving Human Action Recognition in AI Machines.
IEEE Trans. Netw. Serv. Manag., 2026

Spatial-Temporal Self-Compensating Graph Convolutional Network for Skeleton-Based Action Recognition Under Data Constraints.
IEEE Trans. Image Process., 2026

EchoNet: A hierarchical collaborative network for point cloud-based 3D action recognition.
Knowl. Based Syst., 2026

SequentialPointNet++: A Reinforced-Hyperpoint Network through Pose and Motion-chain Fusion for 3D Action Recognition.
Inf. Fusion, 2026

2025
Pig behavior dataset and Spatial-temporal perception and enhancement networks based on the attention mechanism for pig behavior recognition.
CoRR, March, 2025

Multiscale motion-aware and spatial-temporal-channel contextual coding network for learned video compression.
Knowl. Based Syst., 2025

GaitSTAGCN: Spatial-temporal attention graph convolutional networks for gait recognition.
Neurocomputing, 2025

PRG-Net: Point Relationship-Guided Network for 3D human action recognition.
Neurocomputing, 2025

STFE-VC: Spatio-temporal feature enhancement for learned video compression.
Expert Syst. Appl., 2025

Recognizing Cattle Behaviours by Spatio-Temporal Reasoning Between Key Body Parts and Environmental Context.
Comput., 2025

Geo-CF2Net: Geometry-Prior Cross-Frequency Interactive Fusion Network for 3D Human Action Recognition.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
PointDMIG: a dynamic motion-informed graph neural network for 3D action recognition.
Multim. Syst., August, 2024

Multi-granular spatial-temporal synchronous graph convolutional network for robust action recognition.
Expert Syst. Appl., 2024

Efficient dual-stream neural networks: A modeling approach for inferring wild mammal behavior from video data.
Ecol. Informatics, 2024

Motion focus global-local network: Combining attention mechanism with micro action features for cow behavior recognition.
Comput. Electron. Agric., 2024

2023
Real-Time 3-D Human Action Recognition Based on Hyperpoint Sequence.
IEEE Trans. Ind. Informatics, August, 2023

PointMapNet: Point Cloud Feature Map Network for 3D Human Action Recognition.
Symmetry, February, 2023

Spatial and temporal information fusion for human action recognition via Center Boundary Balancing Multimodal Classifier.
J. Vis. Commun. Image Represent., February, 2023

Multiscale Motion-Aware and Spatial-Temporal-Channel Contextual Coding Network for Learned Video Compression.
CoRR, 2023

2022
Human action recognition based on enhanced data guidance and key node spatial temporal graph convolution.
Multim. Tools Appl., 2022

VirtualActionNet: A strong two-stream point cloud sequence network for human action recognition.
J. Vis. Commun. Image Represent., 2022

Hyperpointnet for Point Cloud Sequence-Based 3D Human Action Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
SequentialPointNet: A strong parallelized point cloud sequence network for 3D action recognition.
CoRR, 2021

2020
Human action recognition based on 3D body mask and depth spatial-temporal maps.
Multim. Tools Appl., 2020

A multi-scale human action recognition method based on Laplacian pyramid depth motion images.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019
Bidirectional Removal of Reverse Gravitational Acceleration Based on Data Segmentation.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019


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