Zhongyao Cheng

Orcid: 0009-0006-2363-450X

According to our database1, Zhongyao Cheng authored at least 20 papers between 2019 and 2025.

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

2025
Global-Aware Monocular Semantic Scene Completion with State Space Models.
CoRR, March, 2025

AIC3DOD: Advancing Indoor Class-Incremental 3D Object Detection with Point Transformer Architecture and Room Layout Constraints.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection.
Sci. China Inf. Sci., 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

Hybrid Explainable Network Intrusion Detection Framework Based on Shapley Additive Explanations.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Dual Prototypical Self-Supervised Learning for One-shot Medical Image Segmentation.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Unsupervised 3D Lung Segmentation by Leveraging 2D Segment Anything Model.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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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