| Concad: Contrastive learning-based cross attention for sleep apnea detection G Huang, F Ma Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 19 | 2021 |
| Detection of atrial fibrillation from short ECG signals using a hybrid deep learning model X Wu, Z Sui, CH Chu, G Huang Smart Health: International Conference, ICSH 2019, Shenzhen, China, July 1–2 …, 2019 | 9 | 2019 |
| A deep learning-based method for sleep stage classification using physiological signal G Huang, CH Chu, X Wu Smart Health: International Conference, ICSH 2018, Wuhan, China, July 1–3 …, 2018 | 4 | 2018 |
| Recent Advances in Predictive Modeling with Electronic Health Records J Wang, J Luo, M Ye, X Wang, Y Zhong, A Chang, G Huang, Z Yin, C Xiao, ... arXiv preprint arXiv:2402.01077, 2024 | 3 | 2024 |
| AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data G Huang, Y Yuan, G Cao, F Ma 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 3 | 2022 |
| Automatic atrial fibrillation detection from short ECG signals: A hybrid deep learning approach X Wu, Z Sui, CH Chu, G Huang IISE Transactions on Healthcare Systems Engineering 12 (1), 1-19, 2022 | 3 | 2022 |
| TrustSleepNet: A Trustable Deep Multimodal Network for Sleep Stage Classification G Huang, F Ma 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | 2 | 2022 |
| SFT-based DOA detection on co-prime array G Huang Rutgers The State University of New Jersey, School of Graduate Studies, 2015 | 1 | 2015 |
| Deep Models for Detecting Sleep-Related Problems G Huang Pennsylvania State University, 2021 | | 2021 |
| Indoor UWB Communication System G Huang, X Cao, W Zhao, X Wang | | |
