Naichuan Zheng

Orcid: 0009-0005-3724-154X

According to our database1, Naichuan Zheng authored at least 13 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LiquidTAD: Efficient Temporal Action Detection via Parallel Liquid-Inspired Temporal Relaxation.
CoRR, April, 2026

Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition.
CoRR, April, 2026

S3T-Former: A Purely Spike-Driven State-Space Topology Transformer for Skeleton Action Recognition.
CoRR, March, 2026

Leveraging Spatial High-Order Modeling for Skeleton-Based Action Recognition.
IEEE Signal Process. Lett., 2026

MK-SGN: A spiking graph convolutional network with multimodal fusion and knowledge distillation for skeleton-based action recognition.
Neurocomputing, 2026

2025
Signal-SGN++: Topology-Enhanced Time-Frequency Spiking Graph Network for Skeleton-Based Action Recognition.
CoRR, December, 2025

Patch as Node: Human-Centric Graph Representation Learning for Multimodal Action Recognition.
CoRR, December, 2025

SNN-Driven Multimodal Human Action Recognition via Event Camera and Skeleton Data Fusion.
CoRR, February, 2025

Signal-SGN: A Spiking Graph Convolutional Network for Skeleton Action Recognition via Learning Temporal-Frequency Dynamics.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition.
CoRR, 2024

Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics.
CoRR, 2024

MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition.
CoRR, 2024

Target Intelligent Threat Assessment Based on Multiplex Network Models.
Proceedings of the 14th Asian Control Conference, 2024


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