Chengxin Pang

Orcid: 0000-0003-2481-1433

According to our database1, Chengxin Pang authored at least 14 papers between 2021 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

Memory-Augmented Spatial-Temporal Consistency Network for Video Anomaly Detection.
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
LGN-Net: Local-Global Normality Network for Video Anomaly Detection.
CoRR, 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

SGFusion: Camera-LiDAR Semantic and Geometric Fusion for 3D Object Detection.
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


  Loading...