| 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 | 280 | 2018 |
| 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 | 274 | 2017 |
| 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 | 259 | 2018 |
| 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 | 249 | 2017 |
| 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 | 228 | 2017 |
| 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 | 225 | 2017 |
| 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 | 207 | 2014 |
| 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 | 202 | 2017 |
| 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 | 167 | 2017 |
| 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 | 160 | 2019 |
| 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 | 160 | 2018 |
| 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 | 155 | 2014 |
| Multi-channel attention selection gan with cascaded semantic guidance for cross-view image translation H Tang, D Xu, N Sebe, Y Wang, JJ Corso, Y Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 147 | 2019 |
| 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 | 142 | 2010 |
| 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 | 136 | 2013 |
| 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 | 134 | 2011 |
| Structured adversarial attack: Towards general implementation and better interpretability K Xu, S Liu, P Zhao, PY Chen, H Zhang, Q Fan, D Erdogmus, Y Wang, ... arXiv preprint arXiv:1808.01664, 2018 | 125 | 2018 |
| Feature distillation: Dnn-oriented jpeg compression against adversarial examples Z Liu, Q Liu, T Liu, N Xu, X Lin, Y Wang, W Wen 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 116 | 2019 |
| Feature distillation: Dnn-oriented jpeg compression against adversarial examples Z Liu, Q Liu, T Liu, N Xu, X Lin, Y Wang, W Wen 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 116 | 2019 |
| Admm-nn: An algorithm-hardware co-design framework of dnns using alternating direction methods of multipliers A Ren, T Zhang, S Ye, J Li, W Xu, X Qian, X Lin, Y Wang Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 114 | 2019 |
Massoud PedramCharles Lee Powell Professor of Electrical Engineering & Computer Science, Univ of SouthernVerified email at usc.edu
