| SpotOn: A Batch Computing Service for the Spot Market S Subramany, T Guo, P Sharma, D Irwin, P Shenoy Symposium on Cloud Computing, 2015 | 141 | 2015 |
| SpotCheck: Designing a Derivative IaaS Cloud on the Spot Market P Sharma, S Lee, T Guo, D Irwin, P Shenoy EuroSys'15, 2015 | 139 | 2015 |
| Flint: Batch-Interactive Data-Intensive Processing on Transient Servers P Sharma, T Guo, X He, D Irwin, P Shenoy Proceedings of the Eleventh European Conference on Computer Systems (EuroSys), 2016 | 106 | 2016 |
| Few-shot neural architecture search Y Zhao, L Wang, Y Tian, R Fonseca, T Guo International Conference on Machine Learning, 12707-12718, 2021 | 105 | 2021 |
| Cost-aware Cloud Bursting for Enterprise Applications T Guo, U Sharma, P Shenoy, T Wood, S Sahu Transactions on Internet Technology, 2013 | 88 | 2013 |
| Cloud-based or on-device: An empirical study of mobile deep inference T Guo 2018 IEEE International Conference on Cloud Engineering (IC2E), 184-190, 2018 | 82 | 2018 |
| Seagull: Intelligent cloud bursting for enterprise applications T Guo, U Sharma, T Wood, S Sahu, P Shenoy 2012 USENIX Annual Technical Conference (USENIX ATC 12), 361-366, 2012 | 82 | 2012 |
| Enabling sustainable clouds: The case for virtualizing the energy system N Bashir, T Guo, M Hajiesmaili, D Irwin, P Shenoy, R Sitaraman, A Souza, ... Proceedings of the ACM Symposium on Cloud Computing, 350-358, 2021 | 47 | 2021 |
| EPNet: Learning to exit with flexible multi-branch network X Dai, X Kong, T Guo Proceedings of the 29th ACM International Conference on Information …, 2020 | 40 | 2020 |
| MODI: Mobile Deep Inference Made Efficient by Edge Computing SS Ogden, T Guo USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18), 2018 | 36 | 2018 |
| Confidential deep learning: Executing proprietary models on untrusted devices PM VanNostrand, I Kyriazis, M Cheng, T Guo, RJ Walls arXiv preprint arXiv:1908.10730, 2019 | 32 | 2019 |
| PointAR: Efficient Lighting Estimation for Mobile Augmented Reality Y Zhao, T Guo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| An experimental evaluation of garbage collectors on big data applications L Xu, T Guo, W Dou, W Wang, J Wei The 45th International Conference on Very Large Data Bases (VLDB'19), 2019 | 25 | 2019 |
| Analyzing the Efficiency of a Green University Data Center P Pegus II, B Varghese, T Guo, D Irwin, P Shenoy, A Mahanti, J Culbert, ... Proceedings of ACM International Conference on Performance Engineering (ICPE), 2016 | 25 | 2016 |
| Characterizing the deep neural networks inference performance of mobile applications SS Ogden, T Guo arXiv preprint arXiv:1909.04783, 2019 | 24 | 2019 |
| Characterizing and modeling distributed training with transient cloud GPU servers S Li, RJ Walls, T Guo 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 23 | 2020 |
| Grad: Learning for overhead-aware adaptive video streaming with scalable video coding Y Liu, B Jiang, T Guo, RK Sitaraman, D Towsley, X Wang Proceedings of the 28th ACM International Conference on Multimedia, 349-357, 2020 | 23 | 2020 |
| On the future of cloud engineering D Bermbach, A Chandra, C Krintz, A Gokhale, A Slominski, L Thamsen, ... 2021 IEEE International conference on cloud engineering (IC2E), 264-275, 2021 | 22 | 2021 |
| Managing risk in a derivative IaaS cloud P Sharma, S Lee, T Guo, D Irwin, P Shenoy IEEE Transactions on Parallel and Distributed Systems 29 (8), 1750-1765, 2017 | 22 | 2017 |
| Modeling and assessing water and nutrient balances in a tile-drained agricultural watershed in the US Corn Belt D Ren, B Engel, JAV Mercado, T Guo, Y Liu, G Huang Water Research 210, 117976, 2022 | 20 | 2022 |
Prashant ShenoyDistinguished Professor, College of Information and Computer Sciences, University of Massachusetts在 cs.umass.edu 的电子邮件经过验证
