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Tian Guo
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Exploring interpretable LSTM neural networks over multi-variable data
T Guo, T Lin, N Antulov-Fantulin
International conference on machine learning, 2494-2504, 2019
2322019
SpotOn: A Batch Computing Service for the Spot Market
S Subramany, T Guo, P Sharma, D Irwin, P Shenoy
Symposium on Cloud Computing, 2015
1422015
SpotCheck: Designing a Derivative IaaS Cloud on the Spot Market
P Sharma, S Lee, T Guo, D Irwin, P Shenoy
EuroSys'15, 2015
1402015
Few-shot neural architecture search
Y Zhao, L Wang, Y Tian, R Fonseca, T Guo
International Conference on Machine Learning, 12707-12718, 2021
1302021
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
1072016
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
932018
Cost-aware Cloud Bursting for Enterprise Applications
T Guo, U Sharma, P Shenoy, T Wood, S Sahu
Transactions on Internet Technology, 2013
892013
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
872012
Bitcoin volatility forecasting with a glimpse into buy and sell orders
T Guo, A Bifet, N Antulov-Fantulin
2018 IEEE international conference on data mining (ICDM), 989-994, 2018
782018
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
662021
Predicting short-term Bitcoin price fluctuations from buy and sell orders
T Guo, N Antulov-Fantulin
arXiv preprint arXiv:1802.04065, 2018
612018
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
552020
An interpretable LSTM neural network for autoregressive exogenous model
T Guo, T Lin, Y Lu
arXiv preprint arXiv:1804.05251, 2018
522018
MODI: Mobile Deep Inference Made Efficient by Edge Computing
SS Ogden, T Guo
USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18), 2018
422018
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality
Y Zhao, T Guo
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
402020
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
402019
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
322022
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
312020
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
302021
Perseus: Characterizing performance and cost of multi-tenant serving for cnn models
M LeMay, S Li, T Guo
2020 IEEE International Conference on Cloud Engineering (IC2E), 66-72, 2020
292020
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Články 1–20