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Chengxin Pang
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2020 – today
- 2025
- [j11]Mengyang Zhao, Xinhua Zeng, Yang Liu, Jing Liu, Chengxin Pang:
Rethinking prediction-based video anomaly detection from local-global normality perspective. Expert Syst. Appl. 262: 125581 (2025) - 2024
- [j10]Yang Xuan, Chengxin Pang, Haimeng Yu, Xinhua Zeng, Yongbo Chen:
Load Energy Decomposition Algorithm Based on Improved Bidirectional Transformer Combined With Time-Sensing Self-Attention. IEEE Access 12: 75625-75639 (2024) - [c5]Aoxue Li, Xinhua Zeng, Yunlong Du, Chengxin Pang:
XRNeRF: View-guided Neural Radiance Fields for Occlusion Removal. CSCWD 2024: 3200-3205 - [c4]Weilong Lin, Xinhua Zeng, Chengxin Pang, Jing Teng, Jing Liu:
DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction. ICRA 2024: 16662-16668 - 2023
- [j9]Zhengwei Li, Chengxin Pang, Chenhang Dong, Xinhua Zeng:
R-YOLOv5: A Lightweight Rotational Object Detection Algorithm for Real-Time Detection of Vehicles in Dense Scenes. IEEE Access 11: 61546-61559 (2023) - [j8]Jinlong Wang, Chengxin Pang, Xinhua Zeng, Yongbo Chen:
Non-Intrusive Load Monitoring Based on Residual U-Net and Conditional Generation Adversarial Networks. IEEE Access 11: 77441-77451 (2023) - [j7]Moqing Li, Xinhua Zeng, Feng Wu, Yang Chu, Weiguo Wei, Min Fan, Chengxin Pang, Xing Hu:
Build a bridge between ECG and EEG signals for atrial fibrillation diagnosis using AI methods. Comput. Biol. Medicine 166: 107429 (2023) - [j6]Zhuangzhuang Yang, Chengxin Pang, Xinhua Zeng:
Trajectory Forecasting Using Graph Convolutional Neural Networks Based on Prior Awareness and Information Fusion. ISPRS Int. J. Geo Inf. 12(2): 77 (2023) - [j5]Haimeng Yu, Chengxin Pang, Yang Xuan, Yongbo Chen, Xinhua Zeng:
Sequence-to-Sequence-Based Beta-VAE Combined With IECA Attention Mechanism for Energy Disaggregation Algorithm. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j4]Xiang Zhou, Chengxin Pang, Xinhua Zeng, Linhua Jiang, Yongbo Chen:
A Short-Term Power Prediction Method Based on Temporal Convolutional Network in Virtual Power Plant Photovoltaic System. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c3]Kai Cheng, Xinhua Zeng, Yang Liu, Mengyang Zhao, Chengxin Pang, Xing Hu:
Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection. ICASSP 2023: 1-5 - [c2]Zhangxun Li, Mengyang Zhao, Xinhua Zeng, Tian Wang, Chengxin Pang:
Memory-Augmented Spatial-Temporal Consistency Network for Video Anomaly Detection. PRCV (6) 2023: 95-107 - [i2]Kai Cheng, Xinhua Zeng, Yang Liu, Tian Wang, Chengxin Pang, Jing Teng, Zhaoyang Xia, Jing Liu:
Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection. CoRR abs/2305.07328 (2023) - 2022
- [j3]Lintao Deng, Chengxin Pang, Xinhua Zeng, Jun Zhang, Chizhi Huang:
Real-Time Energy Disaggregation Algorithm Based on Multi-Channels DCNN and Autoregressive Model. IEEE Access 10: 110835-110848 (2022) - [j2]Chenhang Dong, Chengxin Pang, Zhengwei Li, Xinhua Zeng, Xing Hu:
PG-YOLO: A Novel Lightweight Object Detection Method for Edge Devices in Industrial Internet of Things. IEEE Access 10: 123736-123745 (2022) - [c1]Xuhua Chen, Xinhua Zeng, Chengxin Pang, Xin Hu:
SGFusion: Camera-LiDAR Semantic and Geometric Fusion for 3D Object Detection. ICONIP (3) 2022: 435-446 - [i1]Mengyang Zhao, Xinhua Zeng, Jing Liu, Di Li, Chengxin Pang, Yang Liu:
LGN-Net: Local-Global Normality Network for Video Anomaly Detection. CoRR abs/2211.07454 (2022) - 2021
- [j1]Weijun Yang, Chengxin Pang, Jinhai Huang, Xinhua Zeng:
Sequence-to-Point Learning Based on Temporal Convolutional Networks for Nonintrusive Load Monitoring. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
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