| Deep-learning-enhanced human activity recognition for Internet of healthcare things X Zhou, W Liang, I Kevin, K Wang, H Wang, LT Yang, Q Jin IEEE Internet of Things Journal 7 (7), 6429-6438, 2020 | 410 | 2020 |
| CNN-RNN based intelligent recommendation for online medical pre-diagnosis support X Zhou, Y Li, W Liang IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (3 …, 2020 | 382 | 2020 |
| Variational LSTM enhanced anomaly detection for industrial big data X Zhou, Y Hu, W Liang, J Ma, Q Jin IEEE Transactions on Industrial Informatics 17 (5), 3469-3477, 2020 | 326 | 2020 |
| Deep-learning-enhanced multitarget detection for end–edge–cloud surveillance in smart IoT X Zhou, X Xu, W Liang, Z Zeng, Z Yan IEEE Internet of Things Journal 8 (16), 12588-12596, 2021 | 249 | 2021 |
| Siamese neural network based few-shot learning for anomaly detection in industrial cyber-physical systems X Zhou, W Liang, S Shimizu, J Ma, Q Jin IEEE Transactions on Industrial Informatics 17 (8), 5790-5798, 2020 | 247 | 2020 |
| Deep correlation mining based on hierarchical hybrid networks for heterogeneous big data recommendations X Zhou, W Liang, I Kevin, K Wang, LT Yang IEEE Transactions on Computational Social Systems 8 (1), 171-178, 2020 | 235 | 2020 |
| Intelligent small object detection for digital twin in smart manufacturing with industrial cyber-physical systems X Zhou, X Xu, W Liang, Z Zeng, S Shimizu, LT Yang, Q Jin IEEE Transactions on Industrial Informatics 18 (2), 1377-1386, 2021 | 211 | 2021 |
| Two-layer federated learning with heterogeneous model aggregation for 6g supported internet of vehicles X Zhou, W Liang, J She, Z Yan, I Kevin, K Wang IEEE Transactions on Vehicular Technology 70 (6), 5308-5317, 2021 | 209 | 2021 |
| Hierarchical adversarial attacks against graph-neural-network-based IoT network intrusion detection system X Zhou, W Liang, W Li, K Yan, S Shimizu, I Kevin, K Wang IEEE Internet of Things Journal 9 (12), 9310-9319, 2021 | 202 | 2021 |
| Energy-efficient smart routing based on link correlation mining for wireless edge computing in IoT X Zhou, X Yang, J Ma, I Kevin, K Wang IEEE Internet of Things Journal 9 (16), 14988-14997, 2021 | 180 | 2021 |
| Academic influence aware and multidimensional network analysis for research collaboration navigation based on scholarly big data X Zhou, W Liang, I Kevin, K Wang, R Huang, Q Jin IEEE Transactions on Emerging Topics in Computing 9 (1), 246-257, 2018 | 178 | 2018 |
| Privacy preservation in permissionless blockchain: A survey L Peng, W Feng, Z Yan, Y Li, X Zhou, S Shimizu Digital Communications and Networks 7 (3), 295-307, 2021 | 173 | 2021 |
| Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach L Tan, K Yu, AK Bashir, X Cheng, F Ming, L Zhao, X Zhou Neural Computing and Applications, 1-14, 2023 | 146 | 2023 |
| Multi-modality behavioral influence analysis for personalized recommendations in health social media environment X Zhou, W Liang, I Kevin, K Wang, S Shimizu IEEE Transactions on Computational Social Systems 6 (5), 888-897, 2019 | 131 | 2019 |
| Variational few-shot learning for microservice-oriented intrusion detection in distributed industrial IoT W Liang, Y Hu, X Zhou, Y Pan, I Kevin, K Wang IEEE Transactions on Industrial Informatics 18 (8), 5087-5095, 2021 | 125 | 2021 |
| Federated transfer learning based cross-domain prediction for smart manufacturing I Kevin, K Wang, X Zhou, W Liang, Z Yan, J She IEEE Transactions on Industrial Informatics 18 (6), 4088-4096, 2021 | 125 | 2021 |
| Fast anomaly identification based on multiaspect data streams for intelligent intrusion detection toward secure industry 4.0 L Qi, Y Yang, X Zhou, W Rafique, J Ma IEEE Transactions on Industrial Informatics 18 (9), 6503-6511, 2021 | 122 | 2021 |
| Distribution bias aware collaborative generative adversarial network for imbalanced deep learning in industrial IoT X Zhou, Y Hu, J Wu, W Liang, J Ma, Q Jin IEEE Transactions on Industrial Informatics 19 (1), 570-580, 2022 | 112 | 2022 |
| Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything X Zhou, W Liang, K Yan, W Li, I Kevin, K Wang, J Ma, Q Jin IEEE Internet of Things Journal 10 (4), 3295-3304, 2022 | 93 | 2022 |
| Highly accurate energy consumption forecasting model based on parallel LSTM neural networks N Jin, F Yang, Y Mo, Y Zeng, X Zhou, K Yan, X Ma Advanced Engineering Informatics 51, 101442, 2022 | 89 | 2022 |
Qun JinProfessor, Waseda University在 waseda.jp 的电子邮件经过验证
