An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments M Goudarzi, H Wu, MS Palaniswami, R Buyya IEEE Transactions on Mobile Computing 20 (4), 1298 - 1311, 2021 | 197 | 2021 |
Collaborate Edge and Cloud Computing with Distributed Deep Learning for Smart City Internet of Things H Wu, Z Zhang, C Guan, K Wolter, M Xu IEEE Internet of Things Journal 7 (9), 8099 - 8110, 2020 | 146 | 2020 |
AI for next generation computing: Emerging trends and future directions SS Gill, M Xu, C Ottaviani, P Patros, R Bahsoon, A Shaghaghi, M Golec, ... Internet of Things 19, 100514, 2022 | 123 | 2022 |
Energy-efficient decision making for mobile cloud offloading H Wu, Y Sun, K Wolter IEEE Transactions on Cloud Computing 8 (2), 570 - 584, 2020 | 120 | 2020 |
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing H Wu, K Wolter, P Jiao, Y Deng, Y Zhao, M Xu IEEE Internet of Things Journal 8 (4), 2163-2176, 2021 | 118 | 2021 |
Tradeoff between performance improvement and energy saving in mobile cloud offloading systems H Wu, Q Wang, K Wolter 2013 IEEE international conference on communications workshops (ICC), 728-732, 2013 | 117 | 2013 |
Edge Server Quantification and Placement for Offloading Social Media Services in Industrial Cognitive IoV X Xu, B Shen, X Yin, MR Khosravi, H Wu, L Qi, S Wan IEEE Transactions on Industrial Informatics 17 (4), 2910-2918, 2021 | 106 | 2021 |
Multi-objective decision-making for mobile cloud offloading: A survey H Wu IEEE Access 6, 3962-3976, 2018 | 103 | 2018 |
Stochastic analysis of delayed mobile offloading in heterogeneous networks H Wu, K Wolter IEEE Transactions on Mobile Computing 17 (2), 461-474, 2018 | 95 | 2018 |
DMRO: A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing G Qu, H Wu, R Li, P Jiao IEEE Transactions on Network and Service Management 18 (3), 3448-3459, 2021 | 80 | 2021 |
An efficient application partitioning algorithm in mobile environments H Wu, WJ Knottenbelt, K Wolter IEEE Transactions on Parallel and Distributed Systems 30 (7), 1464-1480, 2019 | 80 | 2019 |
An optimal offloading partitioning algorithm in mobile cloud computing H Wu, W Knottenbelt, K Wolter, Y Sun Quantitative Evaluation of Systems: 13th International Conference, QEST 2016 …, 2016 | 64 | 2016 |
Methods of cloud-path selection for offloading in mobile cloud computing systems H Wu, Q Wang, K Wolter 4th IEEE International Conference on Cloud Computing Technology and Science …, 2012 | 64 | 2012 |
Channel pruning based on mean gradient for accelerating convolutional neural networks C Liu, H Wu Signal Processing 156, 84-91, 2019 | 54 | 2019 |
Spatio-temporal representation with deep neural recurrent network in MIMO CSI feedback X Li, H Wu IEEE Wireless Communications Letters 9 (5), 653-657, 2020 | 50 | 2020 |
A secure and cost-efficient offloading policy for mobile cloud computing against timing attacks T Meng, K Wolter, H Wu, Q Wang Pervasive and Mobile Computing 45, 4-18, 2018 | 45 | 2018 |
Mobile healthcare systems with multi-cloud offloading H Wu, Q Wang, K Wolter 2013 IEEE 14th International Conference on Mobile Data Management 2, 188-193, 2013 | 40 | 2013 |
Constrained Multi-objective Optimization for IoT-enabled Computation Offloading in Collaborative Edge and Cloud Computing G Peng, H Wu, H Wu, K Wolter IEEE Internet of Things Journal 8 (17), 13723-13736, 2021 | 38 | 2021 |
Software aging in mobile devices: Partial computation offloading as a solution H Wu, K Wolter 2015 IEEE international symposium on software reliability engineering …, 2015 | 37 | 2015 |
Tradeoff analysis for mobile cloud offloading based on an additive energy-performance metric H Wu, K Wolter EAI Endorsed Transactions on Future Intelligent Educational Environments 1 (5), 2015 | 32 | 2015 |