Adversarial de-noising of electrocardiogram J Wang, R Li, R Li, K Li, H Zeng, G Xie, L Liu Neurocomputing 349, 212-224, 2019 | 51 | 2019 |
A knowledge-based deep learning method for ECG signal delineation J Wang, R Li, R Li, B Fu Future Generation Computer Systems 109, 56-66, 2020 | 36 | 2020 |
Towards interpretable arrhythmia classification with human-machine collaborative knowledge representation J Wang, R Li, R Li, B Fu, C Xiao, DZ Chen IEEE Transactions on Biomedical Engineering 68 (7), 2098-2109, 2020 | 25 | 2020 |
Intrusion detection for in-vehicle network by using single GAN in connected vehicles Y Yang, G Xie, J Wang, J Zhou, Z Xia, R Li Journal of Circuits, Systems and Computers 30 (01), 2150007, 2021 | 22 | 2021 |
Real-time Accurate Object Counting for Smart Farms H Shang, R Li, X He, J Wang, X Peng 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 6 | 2019 |
Applying collaborative adversarial learning to blind point cloud quality measurement J Wang, W Gao, G Li IEEE Transactions on Instrumentation and Measurement, 2023 | 5 | 2023 |
Automated dynamic electrocardiogram noise reduction using multilayer LSTM network J Guan, R Li, R Li, W Li, J Wang, G Xie Proceedings of the 15th EAI International Conference on Mobile and …, 2018 | 4 | 2018 |
Zoom to Perceive Better: No-reference Point Cloud Quality Assessment via Exploring Effective Multiscale Feature J Wang, W Gao, G Li IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 3 | 2024 |
Hmckrautoencoder: An interpretable deep learning framework for time series analysis J Wang, R Li, R Li, B Fu, DZ Chen IEEE Transactions on Emerging Topics in Computing 10 (1), 99-111, 2022 | 3 | 2022 |
User-guided clustering for video segmentation on coarse-grained feature extraction X Peng, R Li, J Wang, H Shang IEEE Access 7, 149820-149832, 2019 | 2 | 2019 |
Three-Stage Global Channel Pruning for Resources-Limited Platform Y Chen, R Li, W Li, J Wang, R Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
A CNN-LSTM Ensemble Model for Predicting Protein-Protein Interaction Binding Sites Y Gong, R Li, B Fu, Y Liu, J Wang, R Li, DZ Chen IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 | | 2023 |