Zhongyao Cheng

Orcid: 0009-0006-2363-450X

According to our database1, Zhongyao Cheng authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications.
IEEE Trans. Consumer Electron., February, 2024

A Timely Survey on Vision Transformer for Deepfake Detection.
CoRR, 2024

On-the-fly Point Feature Representation for Point Clouds Analysis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds.
IEEE Trans. Intell. Transp. Syst., August, 2023

Spatial and Temporal Dual-Scale Adaptive Pruning for Point Cloud Videos.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space.
Proceedings of the IEEE International Conference on Image Processing, 2023

COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Hierarchical Semantic Graph Reasoning for Train Component Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains.
IEEE Trans. Intell. Transp. Syst., 2022

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains.
IEEE Trans. Cybern., 2022

Contrastive R-CNN for Incremental Learning in Object Detection.
Proceedings of the IEEE Smartworld, 2022

Latent Vector Prototypes Guided Conditional Face Synthesis.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020
Robust Train Component Detection with Cascade Convolutional Neural Networks based on Structure Knowledge.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Multiple convolutional neural networks for multivariate time series prediction.
Neurocomputing, 2019


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