Yu Wang(汪玉)

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Huazhong YangProfessor of Electronics Engineering, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Yuan XieProfessor of University of California at Santa BarbaraAdresse e-mail validée de ece.ucsb.edu
Xiaoming Chenassociate professor@institute of computing technologyAdresse e-mail validée de ict.ac.cn
Lixue XiaAlibaba GroupAdresse e-mail validée de alibaba-inc.com
Kaiyuan GuoDept. of E.E., Tsinghua UniversityAdresse e-mail validée de mails.tsinghua.edu.cn
Song YaoDeephi/XilinxAdresse e-mail validée de deephi.tech
Yongpan LiuProfessor @ Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Song HanMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Guohao DaiTsinghua University, Ph.DAdresse e-mail validée de mail.tsinghua.edu.cn
Yiran ChenProfessor, Electrical and Computer Engineering, Duke UniversityAdresse e-mail validée de duke.edu
Jiantao QiuEE department of Tsinghua UniversityAdresse e-mail validée de mails.tsinghua.edu.cn
Yu CaoProfessor of Electrical Engineering, Arizona State UniversityAdresse e-mail validée de asu.edu
Yi ShanPh.D. at Department of Electronic Engineering, Tsinghua University, ChinaAdresse e-mail validée de mails.tsinghua.edu.cn
Huizi MaoStanford UniversityAdresse e-mail validée de stanford.edu
Hai (Helen) LiClare Boothe Luce Professor of Electrical and Computer EngineeringAdresse e-mail validée de duke.edu
Tianqi TangUniversity of California, Santa BarbaraAdresse e-mail validée de ucsb.edu
William DallyBell Professor of Engineering, Stanford University; Chief Scientist, NVIDIAAdresse e-mail validée de stanford.edu
Zhenhua Zhu (朱振华)Tsinghua UniversityAdresse e-mail validée de mails.tsinghua.edu.cn
Guangyu SunCenter for Energy Efficient Computing and Applications, Peking UniversityAdresse e-mail validée de pku.edu.cn
Yi CaiPh.D. student, Tsinghua UniversityAdresse e-mail validée de mails.tsinghua.edu.cn

Yu Wang(汪玉)

Department of Electronic Engineering, Tsinghua University, China

Adresse e-mail validée de mail.tsinghua.edu.cn - Page d'accueil

Brain Inspired Computing Heterogeneous Hardware Computing Reliability aware Design Methodology Parallel Circuit Simulation


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Going deeper with embedded fpga platform for convolutional neural network J Qiu, J Wang, S Yao, K Guo, B Li, E Zhou, J Yu, T Tang, N Xu, S Song, ... Proceedings of the 2016 ACM/SIGDA International Symposium on Field …, 2016	899	2016
PRIME: a novel processing-in-memory architecture for neural network computation in ReRAM-based main memory P Chi, S Li, C Xu, T Zhang, J Zhao, Y Liu, Y Wang, Y Xie ACM SIGARCH Computer Architecture News 44 (3), 27-39, 2016	848	2016
Deep gradient compression: Reducing the communication bandwidth for distributed training Y Lin, S Han, H Mao, Y Wang, WJ Dally arXiv preprint arXiv:1712.01887, 2017	533	2017
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA S Han, J Kang, H Mao, Y Hu, X Li, Y Li, D Xie, H Luo, S Yao, Y Wang, ... Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017	456	2017
Angel-Eye: A Complete Design Flow for Mapping CNN onto Embedded FPGA K Guo, L Sui, J Qiu, J Yu, J Wang, S Yao, S Han, Y Wang, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018	229	2018
Fpmr: Mapreduce framework on fpga Y Shan, B Wang, J Yan, Y Wang, N Xu, H Yang Proceedings of the 18th annual ACM/SIGDA international symposium on Field …, 2010	200	2010
Towards artificial general intelligence with hybrid Tianjic chip architecture J Pei, L Deng, S Song, M Zhao, Y Zhang, S Wu, G Wang, Z Zou, Z Wu, ... Nature 572 (7767), 106-111, 2019	160	2019
Enabling FPGAs in the cloud F Chen, Y Shan, Y Zhang, Y Wang, H Franke, X Chang, K Wang Proceedings of the 11th ACM Conference on Computing Frontiers, 1-10, 2014	155	2014
Scaling-up resistive synaptic arrays for neuro-inspired architecture: Challenges and prospect S Yu, PY Chen, Y Cao, L Xia, Y Wang, H Wu 2015 IEEE International Electron Devices Meeting (IEDM), 17.3. 1-17.3. 4, 2015	151	2015
Exploring the regularity of sparse structure in convolutional neural networks H Mao, S Han, J Pool, W Li, X Liu, Y Wang, WJ Dally arXiv preprint arXiv:1705.08922, 2017	148	2017
[DL] A survey of FPGA-based neural network inference accelerators K Guo, S Zeng, J Yu, Y Wang, H Yang ACM Transactions on Reconfigurable Technology and Systems (TRETS) 12 (1), 1-26, 2019	139*	2019
Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication L Xia, P Gu, B Li, T Tang, X Yin, W Huangfu, S Yu, Y Cao, Y Wang, ... Journal of Computer Science and Technology 31 (1), 3-19, 2016	138	2016
Technological Exploration of RRAM Crossbar Array For Matrix-Vector Multiplication Peng Gu, Boxun Li, Tianqi Tang, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific …, 2015	138*	2015
Binary convolutional neural network on RRAM T Tang, L Xia, B Li, Y Wang, H Yang 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 782-787, 2017	127	2017
Coordinated static and dynamic cache bypassing for GPUs X Xie, Y Liang, Y Wang, G Sun, T Wang 2015 IEEE 21st International Symposium on High Performance Computer …, 2015	122	2015
RENO: A high-efficient reconfigurable neuromorphic computing accelerator design X Liu, M Mao, B Liu, H Li, Y Chen, B Li, Y Wang, H Jiang, M Barnell, Q Wu, ... 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2015	121	2015
Temperature-aware NBTI modeling and the impact of input vector control on performance degradation Y Wang, H Luo, K He, R Luo, H Yang, Y Xie Design, Automation & Test in Europe Conference & Exhibition, 2007. DATE'07, 1-6, 2007	105	2007
Real-Time High-Quality Stereo Vision System in FPGA FHH Wenqiang Wang, Jing Yan, Ningyi Xu, Yu Wang Circuits and Systems for Video Technology, IEEE Transactions on 25 (10 …, 2015	98*	2015
Real-time high-quality stereo vision system in FPGA W Wang, J Yan, N Xu, Y Wang, FH Hsu Field-Programmable Technology (FPT), 2013 International Conference on, 358-361, 2013	98	2013
Training Itself: Mixed-signal Training Acceleration for Memristor-based Neural Network B Li, Y Wang, Y Wang, Y Chen, H Yang Design Automation Conference (ASP-DAC), 2014 19th Asia and South Pacific …, 2014	95	2014

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