| 2021 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 32 A Abbas, M Abbasi, MM Abdelsamea, A Abusorrah, E Adeli, RK Agarwal, ... IEEE Transactions on Neural Networks and Learning Systems 32 (12), 2021 | | 2021 |
| 2022 Index IEEE Transactions on Automation Science and Engineering Vol. 19 A Abbasi, D Abbott, JV Abellan-Nebot, A Abeyta, A Abusorrah, K Adhikari, ... | | |
| A data-driven approach to predict small-for-gestational-age infants J Sun, L Liu, J Li, J Yang, S Chen, Q Wang, M Zhou, R Lia, B Liu, J Bi 2016 IEEE 13th International Conference on Networking, Sensing, and Control …, 2016 | 2 | 2016 |
| A Deep Learning Approach to Large-Scale Light Curve Prediction and Real-Time Anomaly Detection with Grubbs Criterion X Huang, L Peng, C Lu, J Bi, H Yuan 2020 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2020 | | 2020 |
| A Hybrid Deep Learning Method for Network Attack Prediction J Bi, K Xu, H Yuan, MC Zhou 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 2 | 2022 |
| A hybrid prediction method for realistic network traffic with temporal convolutional network and LSTM J Bi, X Zhang, H Yuan, J Zhang, MC Zhou IEEE Transactions on Automation Science and Engineering 19 (3), 1869-1879, 2021 | 127 | 2021 |
| A Petri Net Based Hybrid Optimal Controller for Deadlock Prevention in Web Service Composition J Bi, Z Zhu, H Yuan, Y Fan, M Tie 2011 IEEE International Conference on Web Services, 718-719, 2011 | 1 | 2011 |
| A Petri net method for compatibility enforcement to support service choreography J Bi, H Yuan, M Zhou IEEE Access 4, 8581-8592, 2016 | 13 | 2016 |
| A sparse deep belief network with efficient fuzzy learning framework G Wang, QS Jia, J Qiao, J Bi, C Liu Neural Networks 121, 430-440, 2020 | 64 | 2020 |
| A spatio-temporal prediction method of wind energy in green cloud data centers J Bi, H Li, H Yuan, S Duanmu 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 3 | 2021 |
| A Topic-Level Privacy Preserving Search in the Medical Field M Tian, J Li, X Meng, R Li, J Bi, J Li, Y Zhao, B Liu 2015 IEEE International Conference on Smart City/SocialCom/SustainCom …, 2015 | | 2015 |
| Accurate Prediction of Workloads and Resources with Multi-head Attention and Hybrid LSTM for Cloud Data Centers J Bi, H Ma, H Yuan, J Zhang IEEE Transactions on Sustainable Computing, 2023 | 8 | 2023 |
| Accurate water quality prediction with attention-based bidirectional LSTM and encoder–decoder J Bi, Z Chen, H Yuan, J Zhang Expert Systems with Applications 238, 121807, 2024 | 7 | 2024 |
| Adaptive prediction of resources and workloads for cloud computing systems with attention-based and hybrid LSTM J Bi, H Ma, H Yuan, K Xu, MC Zhou 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 2 | 2022 |
| An adaptive deep belief network with sparse restricted Boltzmann machines G Wang, J Qiao, J Bi, QS Jia, MC Zhou IEEE transactions on neural networks and learning systems 31 (10), 4217-4228, 2019 | 62 | 2019 |
| An Adaptive Hybrid Bat Algorithm with Genetic Operations and Dynamic Inertia Weight J Bi, J Zhai, H Yuan 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2021 | | 2021 |
| An approach to optimized resource allocation for cloud simulation platform H Yuan, J Bi, BH Li, X Chai AsiaSim 2014: 14th International Conference on Systems Simulation …, 2014 | 3 | 2014 |
| An efficient deep belief network with fuzzy learning for nonlinear system modeling G Wang, J Qiao, J Bi, M Zhou 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 2 | 2019 |
| An improved attention-based LSTM for multi-step dissolved oxygen prediction in water environment J Bi, Y Lin, Q Dong, H Yuan, MC Zhou 2020 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2020 | 15 | 2020 |
| An improved dro-based recurrent neural networks for large-scale light curve time series prediction C Lu, L Peng, J Bi, H Yuan 2018 5th IEEE International Conference on Cloud Computing and Intelligence …, 2018 | 8 | 2018 |
Haitao Yuan (苑海涛)New Jersey Institute of Technology, NJ, USA, and Beihang University, Beijing, China在 njit.edu 的电子邮件经过验证
