| Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization J Bi, H Yuan, S Duanmu, MC Zhou, A Abusorrah IEEE Internet of Things Journal 8 (5), 3774-3785, 2020 | 243 | 2020 |
| Dynamic provisioning modeling for virtualized multi-tier applications in cloud data center J Bi, Z Zhu, R Tian, Q Wang 2010 IEEE 3rd International Conference on Cloud Computing, 370-377, 2010 | 230 | 2010 |
| TTSA: An effective scheduling approach for delay bounded tasks in hybrid clouds H Yuan, J Bi, W Tan, MC Zhou, BH Li, J Li IEEE transactions on cybernetics 47 (11), 3658-3668, 2016 | 203 | 2016 |
| Exploiting ensemble learning for automatic cataract detection and grading JJ Yang, J Li, R Shen, Y Zeng, J He, J Bi, Y Li, Q Zhang, L Peng, Q Wang Computer methods and programs in biomedicine 124, 45-57, 2016 | 172 | 2016 |
| Application-aware dynamic fine-grained resource provisioning in a virtualized cloud data center J Bi, H Yuan, W Tan, MC Zhou, Y Fan, J Zhang, J Li IEEE Transactions on Automation Science and Engineering 14 (2), 1172-1184, 2015 | 142 | 2015 |
| 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 | 130 | 2021 |
| TL-GDBN: Growing deep belief network with transfer learning GM Wang, JF Qiao, J Bi, WJ Li, MC Zhou IEEE Transactions on Automation Science and Engineering 16 (2), 874-885, 2018 | 122 | 2018 |
| Biobjective task scheduling for distributed green data centers H Yuan, J Bi, MC Zhou, Q Liu, AC Ammari IEEE Transactions on Automation Science and Engineering 18 (2), 731-742, 2020 | 112 | 2020 |
| Artificial neural networks for water quality soft-sensing in wastewater treatment: a review G Wang, QS Jia, MC Zhou, J Bi, J Qiao, A Abusorrah Artificial Intelligence Review 55 (1), 565-587, 2022 | 105 | 2022 |
| Temporal task scheduling with constrained service delay for profit maximization in hybrid clouds H Yuan, J Bi, W Tan, BH Li IEEE Transactions on Automation Science and Engineering 14 (1), 337-348, 2016 | 103 | 2016 |
| Integrated deep learning method for workload and resource prediction in cloud systems J Bi, S Li, H Yuan, MC Zhou Neurocomputing 424, 35-48, 2021 | 101 | 2021 |
| Temporal prediction of multiapplication consolidated workloads in distributed clouds J Bi, H Yuan, M Zhou IEEE Transactions on Automation Science and Engineering 16 (4), 1763-1773, 2019 | 90 | 2019 |
| Deep learning-based model predictive control for continuous stirred-tank reactor system G Wang, QS Jia, J Qiao, J Bi, MC Zhou IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3643-3652, 2020 | 82 | 2020 |
| Time-aware multi-application task scheduling with guaranteed delay constraints in green data center H Yuan, J Bi, MC Zhou, AC Ammari IEEE Transactions on Automation Science and Engineering 15 (3), 1138-1151, 2017 | 76 | 2017 |
| CAWSAC: Cost-aware workload scheduling and admission control for distributed cloud data centers H Yuan, J Bi, W Tan, BH Li IEEE Transactions on Automation Science and Engineering 13 (2), 976-985, 2015 | 76 | 2015 |
| Spatial task scheduling for cost minimization in distributed green cloud data centers H Yuan, J Bi, MC Zhou IEEE Transactions on Automation Science and Engineering 16 (2), 729-740, 2018 | 73 | 2018 |
| SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers J Bi, H Yuan, LB Zhang, J Zhang Information Sciences 481, 57-68, 2019 | 68 | 2019 |
| 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 |
| 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 |
| Revenue and energy cost-optimized biobjective task scheduling for green cloud data centers H Yuan, H Liu, J Bi, MC Zhou IEEE Transactions on Automation Science and Engineering 18 (2), 817-830, 2020 | 61 | 2020 |
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
