Chengxin Pang
Orcid: 0000-0003-2481-1433
According to our database1,
Chengxin Pang
authored at least 18 papers
between 2021 and 2025.
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Bibliography
2025
Rethinking prediction-based video anomaly detection from local-global normality perspective.
Expert Syst. Appl., 2025
2024
Load Energy Decomposition Algorithm Based on Improved Bidirectional Transformer Combined With Time-Sensing Self-Attention.
IEEE Access, 2024
DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
Build a bridge between ECG and EEG signals for atrial fibrillation diagnosis using AI methods.
Comput. Biol. Medicine, November, 2023
A Short-Term Power Prediction Method Based on Temporal Convolutional Network in Virtual Power Plant Photovoltaic System.
IEEE Trans. Instrum. Meas., 2023
Sequence-to-Sequence-Based Beta-VAE Combined With IECA Attention Mechanism for Energy Disaggregation Algorithm.
IEEE Trans. Instrum. Meas., 2023
Trajectory Forecasting Using Graph Convolutional Neural Networks Based on Prior Awareness and Information Fusion.
ISPRS Int. J. Geo Inf., 2023
Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection.
CoRR, 2023
Non-Intrusive Load Monitoring Based on Residual U-Net and Conditional Generation Adversarial Networks.
IEEE Access, 2023
R-YOLOv5: A Lightweight Rotational Object Detection Algorithm for Real-Time Detection of Vehicles in Dense Scenes.
IEEE Access, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
PG-YOLO: A Novel Lightweight Object Detection Method for Edge Devices in Industrial Internet of Things.
IEEE Access, 2022
Real-Time Energy Disaggregation Algorithm Based on Multi-Channels DCNN and Autoregressive Model.
IEEE Access, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
Sequence-to-Point Learning Based on Temporal Convolutional Networks for Nonintrusive Load Monitoring.
IEEE Trans. Instrum. Meas., 2021