Yanzhi Wang
Titolo
Citata da
Citata da
Anno
A systematic dnn weight pruning framework using alternating direction method of multipliers
T Zhang, S Ye, K Zhang, J Tang, W Wen, M Fardad, Y Wang
Proceedings of the European Conference on Computer Vision (ECCV), 184-199, 2018
1972018
Experience-driven networking: A deep reinforcement learning based approach
Z Xu, J Tang, J Meng, W Zhang, Y Wang, CH Liu, D Yang
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 1871-1879, 2018
1892018
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices
C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ...
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
1862017
A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs
Z Xu, Y Wang, J Tang, J Wang, MC Gursoy
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
1852017
Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach
J Wang, J Tang, Z Xu, Y Wang, G Xue, X Zhang, D Yang
IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017
1802017
Task scheduling with dynamic voltage and frequency scaling for energy minimization in the mobile cloud computing environment
X Lin, Y Wang, Q Xie, M Pedram
IEEE Transactions on Services Computing 8 (2), 175-186, 2014
1802014
Deep reinforcement learning for building HVAC control
T Wei, Y Wang, Q Zhu
Proceedings of the 54th annual design automation conference 2017, 1-6, 2017
1782017
Adaptive control for energy storage systems in households with photovoltaic modules
Y Wang, X Lin, M Pedram
IEEE Transactions on Smart Grid 5 (2), 992-1001, 2014
1502014
A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning
N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu, J Tang, Y Wang
2017 IEEE 37th international conference on distributed computing systems …, 2017
1422017
Sc-dcnn: Highly-scalable deep convolutional neural network using stochastic computing
A Ren, Z Li, C Ding, Q Qiu, Y Wang, J Li, X Qian, B Yuan
ACM SIGPLAN Notices 52 (4), 405-418, 2017
1392017
Hybrid electrical energy storage systems
M Pedram, N Chang, Y Kim, Y Wang
Proceedings of the 16th ACM/IEEE international symposium on Low power …, 2010
1382010
Accurate modeling of the delay and energy overhead of dynamic voltage and frequency scaling in modern microprocessors
S Park, J Park, D Shin, Y Wang, Q Xie, M Pedram, N Chang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2013
1272013
Battery-supercapacitor hybrid system for high-rate pulsed load applications
D Shin, Y Kim, J Seo, N Chang, Y Wang, M Pedram
2011 Design, Automation & Test in Europe, 1-4, 2011
1272011
C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs
S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang, Y Liang
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
1222018
Topology attack and defense for graph neural networks: An optimization perspective
K Xu, H Chen, S Liu, PY Chen, TW Weng, M Hong, X Lin
arXiv preprint arXiv:1906.04214, 2019
1012019
Maximum power transfer tracking for a photovoltaic-supercapacitor energy system
Y Kim, N Chang, Y Wang, M Pedram
Proceedings of the 16th ACM/IEEE international symposium on Low power …, 2010
982010
An energy and deadline aware resource provisioning, scheduling and optimization framework for cloud systems
Y Gao, Y Wang, SK Gupta, M Pedram
2013 International Conference on Hardware/Software Codesign and System …, 2013
912013
An energy and deadline aware resource provisioning, scheduling and optimization framework for cloud systems
Y Gao, Y Wang, SK Gupta, M Pedram
2013 International Conference on Hardware/Software Codesign and System …, 2013
912013
A near-optimal model-based control algorithm for households equipped with residential photovoltaic power generation and energy storage systems
Y Wang, X Lin, M Pedram
IEEE Transactions on Sustainable Energy 7 (1), 77-86, 2015
872015
Deriving a near-optimal power management policy using model-free reinforcement learning and Bayesian classification
Y Wang, Q Xie, A Ammari, M Pedram
Proceedings of the 48th Design Automation Conference, 41-46, 2011
842011
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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