Sequence-to-Point Learning Based on Temporal Convolutional Networks for Nonintrusive Load Monitoring. - Weijun Yang; Chengxin Pang; Jinhai Huang; Xinhua Zeng (IEEE Trans. Instrum. Meas., 2021)

SGFusion: Camera-LiDAR Semantic and Geometric Fusion for 3D Object Detection. - Xuhua Chen; Xinhua Zeng; Chengxin Pang; Xin Hu (ICONIP (3), 2022)

Real-Time Energy Disaggregation Algorithm Based on Multi-Channels DCNN and Autoregressive Model. - Lintao Deng; Chengxin Pang; Xinhua Zeng; Jun Zhang; Chizhi Huang (IEEE Access, 2022)

PG-YOLO: A Novel Lightweight Object Detection Method for Edge Devices in Industrial Internet of Things. - Chenhang Dong; Chengxin Pang; Zhengwei Li; Xinhua Zeng; Xing Hu 006 (IEEE Access, 2022)

LGN-Net: Local-Global Normality Network for Video Anomaly Detection. - Mengyang Zhao; Xinhua Zeng; Jing Liu 050; Di Li; Chengxin Pang; Yang Liu 246 (CoRR, 2022)

Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection. - Kai Cheng; Xinhua Zeng; Yang Liu 246; Mengyang Zhao; Chengxin Pang; Xing Hu 006 (ICASSP, 2023)

Memory-Augmented Spatial-Temporal Consistency Network for Video Anomaly Detection. - Zhangxun Li; Mengyang Zhao; Xinhua Zeng; Tian Wang 002; Chengxin Pang (PRCV (6), 2023)

R-YOLOv5: A Lightweight Rotational Object Detection Algorithm for Real-Time Detection of Vehicles in Dense Scenes. - Zhengwei Li; Chengxin Pang; Chenhang Dong; Xinhua Zeng (IEEE Access, 2023)

Non-Intrusive Load Monitoring Based on Residual U-Net and Conditional Generation Adversarial Networks. - Jinlong Wang; Chengxin Pang; Xinhua Zeng; Yongbo Chen 002 (IEEE Access, 2023)

Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection. - Kai Cheng; Xinhua Zeng; Yang Liu 246; Tian Wang 002; Chengxin Pang; Jing Teng; Zhaoyang Xia; Jing Liu 050 (CoRR, 2023)

Trajectory Forecasting Using Graph Convolutional Neural Networks Based on Prior Awareness and Information Fusion. - Zhuangzhuang Yang; Chengxin Pang; Xinhua Zeng (ISPRS Int. J. Geo Inf., 2023)

Sequence-to-Sequence-Based Beta-VAE Combined With IECA Attention Mechanism for Energy Disaggregation Algorithm. - Haimeng Yu; Chengxin Pang; Yang Xuan; Yongbo Chen 002; Xinhua Zeng (IEEE Trans. Instrum. Meas., 2023)

A Short-Term Power Prediction Method Based on Temporal Convolutional Network in Virtual Power Plant Photovoltaic System. - Xiang Zhou; Chengxin Pang; Xinhua Zeng; Linhua Jiang; Yongbo Chen 002 (IEEE Trans. Instrum. Meas., 2023)

Build a bridge between ECG and EEG signals for atrial fibrillation diagnosis using AI methods. - Moqing Li; Xinhua Zeng; Feng Wu; Yang Chu; Weiguo Wei; Min Fan; Chengxin Pang; Xing Hu 006 (Comput. Biol. Medicine, 2023)

XRNeRF: View-guided Neural Radiance Fields for Occlusion Removal. - Aoxue Li; Xinhua Zeng; Yunlong Du; Chengxin Pang (CSCWD, 2024)

DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction. - Weilong Lin; Xinhua Zeng; Chengxin Pang; Jing Teng; Jing Liu 050 (ICRA, 2024)

Load Energy Decomposition Algorithm Based on Improved Bidirectional Transformer Combined With Time-Sensing Self-Attention. - Yang Xuan; Chengxin Pang; Haimeng Yu; Xinhua Zeng; Yongbo Chen 002 (IEEE Access, 2024)

A Single-Stage Photovoltaic Module Defect Detection Method Based on Optimized YOLOv8. - Yihong Gao; Chengxin Pang; Xinhua Zeng; Pengyi Jiang (IEEE Access, 2025)

Rethinking prediction-based video anomaly detection from local-global normality perspective. - Mengyang Zhao; Xinhua Zeng; Yang Liu 246; Jing Liu 050; Chengxin Pang (Expert Syst. Appl., 2025)