| A survey on edge computing systems and tools F Liu, G Tang, Y Li, Z Cai, X Zhang, T Zhou Proceedings of the IEEE 107 (8), 1537-1562, 2019 | 348 | 2019 |
| Edge Federation: Towards an Integrated Service Provisioning Model X Cao, G Tang, D Guo, Y Li, W Zhang IEEE/ACM Transactions on Networking, 2020 | 100 | 2020 |
| Learning based energy efficient task offloading for vehicular collaborative edge computing P Qin, Y Fu, G Tang, X Zhao, S Geng IEEE Transactions on Vehicular Technology 71 (8), 8398-8413, 2022 | 63 | 2022 |
| Fednilm: Applying federated learning to nilm applications at the edge Y Zhang, G Tang, Q Huang, Y Wang, K Wu, K Yu, X Shao IEEE Transactions on Green Communications and Networking 7 (2), 857-868, 2022 | 60 | 2022 |
| Embedding service function tree with minimum cost for NFV-enabled multicast B Ren, D Guo, Y Shen, G Tang, X Lin IEEE Journal on Selected Areas in Communications 37 (5), 1085-1097, 2019 | 50 | 2019 |
| The meter tells you are at home! non-intrusive occupancy detection via load curve data G Tang, K Wu, J Lei, W Xiao IEEE SmartGridComm 2015, 897-902, 2015 | 49 | 2015 |
| From landscape to portrait: a new approach for outlier detection in load curve data G Tang, K Wu, J Lei, Z Bi, J Tang IEEE Transactions on Smart Grid 5 (4), 1764-1773, 2014 | 46 | 2014 |
| Online dispatching and fair scheduling of edge computing tasks: A learning-based approach H Yuan, G Tang, X Li, D Guo, L Luo, X Luo IEEE Internet of Things Journal 8 (19), 14985-14998, 2021 | 42 | 2021 |
| A simple model-driven approach to energy disaggregation G Tang, K Wu, J Lei, J Tang IEEE SmartGridComm 2014, 566-571, 2014 | 37 | 2014 |
| Rldish: Edge-Assisted QoE Optimization of HTTP Live Streaming with Reinforcement Learning H Wang, K Wu, J Wang, G Tang IEEE INFOCOM 2020, 2020 | 34 | 2020 |
| A distributed and scalable approach to semi-intrusive load monitoring G Tang, K Wu, J Lei IEEE Transactions on Parallel and Distributed Systems 27 (6), 1553-1565, 2015 | 33 | 2015 |
| PPtaxi: Non-stop package delivery via multi-hop ridesharing Y Chen, D Guo, M Xu, G Tang, T Zhou, B Ren IEEE Transactions on Mobile Computing 19 (11), 2684-2698, 2019 | 32 | 2019 |
| Bikeshare pool sizing for bike-and-ride multimodal transit G Tang, S Keshav, L Golab, K Wu IEEE Transactions on Intelligent Transportation Systems 19 (7), 2279-2289, 2018 | 32 | 2018 |
| DAG-SFC: Minimize the embedding cost of SFC with parallel VNFs X Lin, D Guo, Y Shen, G Tang, B Ren International Conference on Parallel Processing (ICPP), 1-10, 2018 | 31 | 2018 |
| QoS guaranteed edge cloud resource provisioning for vehicle fleets G Tang, D Guo, K Wu, F Liu, Y Qin IEEE Transactions on Vehicular Technology 69 (6), 5889-5900, 2020 | 30 | 2020 |
| Optimal service function tree embedding for NFV enabled multicast B Ren, D Guo, G Tang, X Lin, Y Qin IEEE International Conference on Distributed Computing Systems (ICDCS), 132-142, 2018 | 29 | 2018 |
| Zero-cost, fine-grained power monitoring of datacenters using non-intrusive power disaggregation G Tang, W Jiang, Z Xu, F Liu, K Wu ACM/IFIP Middleware, 271-282, 2015 | 27 | 2015 |
| A profit-aware coalition game for cooperative content caching at the network edge R Wu, G Tang, T Chen, D Guo, L Luo, W Kang IEEE Internet of Things Journal 9 (2), 1361-1373, 2021 | 25 | 2021 |
| Virtual machine power accounting with shapley value W Jiang, F Liu, G Tang, K Wu, H Jin IEEE International Conference on Distributed Computing Systems (ICDCS), 1683 …, 2017 | 25 | 2017 |
| Argumentation based reinforcement learning for meta-knowledge extraction J Xu, L Yao, L Li, M Ji, G Tang Information Sciences 506, 258-272, 2020 | 24 | 2020 |
Kui WuProfessor of Computer Science, University of VictoriaVerified email at uvic.ca
