| Fog orchestration for internet of things services Z Wen, R Yang, P Garraghan, T Lin, J Xu, M Rovatsos IEEE Internet Computing 21 (2), 16-24, 2017 | 344 | 2017 |
| Fuxi: a fault-tolerant resource management and job scheduling system at internet scale Z Zhang, C Li, Y Tao, R Yang, H Tang, J Xu Proceedings of the VLDB Endowment 7 (13), 1393-1404, 2014 | 163 | 2014 |
| A survey on text classification: From traditional to deep learning Q Li, H Peng, J Li, C Xia, R Yang, L Sun, PS Yu, L He ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-41, 2022 | 150* | 2022 |
| Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification H Peng, J Li, SW Wang, L Wang, Q Gong, R Yang, B Li, PS Yu, L He IEEE Transactions on Knowledge and Data Engineering, 2019 | 112 | 2019 |
| Improved energy-efficiency in cloud datacenters with interference-aware virtual machine placement IS Moreno, R Yang, J Xu, T Wo 2013 IEEE eleventh international symposium on autonomous decentralized …, 2013 | 94 | 2013 |
| Straggler root-cause and impact analysis for massive-scale virtualized cloud datacenters P Garraghan, X Ouyang, R Yang, D McKee, J Xu IEEE Transactions on Services Computing, 2019 | 87 | 2019 |
| Orchestrating the development lifecycle of machine learning-based IoT applications: A taxonomy and survey B Qian, J Su, Z Wen, DN Jha, Y Li, Y Guan, D Puthal, P James, R Yang, ... ACM Computing Surveys (CSUR) 53 (4), 1-47, 2020 | 57 | 2020 |
| Streaming social event detection and evolution discovery in heterogeneous information networks H Peng, J Li, Y Song, R Yang, R Ranjan, PS Yu, L He ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (5), 1-33, 2021 | 55 | 2021 |
| Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks H Peng, R Zhang, Y Dou, R Yang, J Zhang, PS Yu ACM Transactions on on Information Systems, 2021 | 54 | 2021 |
| Emergent failures: Rethinking cloud reliability at scale P Garraghan, R Yang, Z Wen, A Romanovsky, J Xu, R Buyya, R Ranjan IEEE Cloud Computing 5 (5), 12-21, 2018 | 43 | 2018 |
| Lime: Low-cost and incremental learning for dynamic heterogeneous information networks H Peng, R Yang, Z Wang, J Li, L He, SY Philip, AY Zomaya, R Ranjan IEEE Transactions on Computers 71 (3), 628-642, 2022 | 41 | 2022 |
| ROSE: Cluster resource scheduling via speculative over-subscription X Sun, C Hu, R Yang, P Garraghan, T Wo, J Xu, J Zhu, C Li 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 34 | 2018 |
| Ga-par: Dependable microservice orchestration framework for geo-distributed clouds Z Wen, T Lin, R Yang, S Ji, R Ranjan, A Romanovsky, C Lin, J Xu IEEE Transactions on Parallel and Distributed Systems 31 (1), 129-143, 2019 | 33 | 2019 |
| Intelligent Resource Scheduling at Scale: a Machine Learning Perspective R Yang, X Ouyang, Y Chen, P Townend, J Xu The 12th IEEE International Symposium on Service Oriented System Engineering …, 2018 | 33 | 2018 |
| Cider: a Rapid Docker Container Deployment System through Sharing Network Storage L Du, T Wo, R Yang, C Hu IEEE 19th International Conference on High Performance Computing and …, 2017 | 30 | 2017 |
| Reducing late-timing failure at scale: straggler root-cause analysis in cloud datacenters X Ouyang, P Garraghan, R Yang, P Townend, J Xu 46th Annual IEEE/IFIP International Conference on Dependable Systems and …, 2016 | 30 | 2016 |
| Computing at massive scale: Scalability and dependability challenges R Yang, J Xu 2016 IEEE symposium on service-oriented system engineering (SOSE), 386-397, 2016 | 29 | 2016 |
| Improving data center efficiency through holistic scheduling in kubernetes P Townend, S Clement, D Burdett, R Yang, J Shaw, B Slater, J Xu 2019 IEEE International Conference on Service-Oriented System Engineering …, 2019 | 28 | 2019 |
| Reliable Computing Service in Massive-scale Systems Through Rapid Low-cost Failover R Yang, Y Zhang, P Garraghan, Y Feng, J Ouyang, J Xu, Z Zhang, C Li IEEE Transactions on Services Computing, 2017 | 27 | 2017 |
| Hawk: Rapid android malware detection through heterogeneous graph attention networks Y Hei, R Yang, H Peng, L Wang, X Xu, J Liu, H Liu, J Xu, L Sun IEEE Transactions on Neural Networks and Learning Systems, 2021 | 26 | 2021 |
Jie XuChair Professor, University of LeedsПотвърден имейл адрес: leeds.ac.uk
