Yanzhi Wang

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Xue LinNortheastern UniversityDirección de correo verificada de northeastern.edu
Massoud PedramCharles Lee Powell Professor of Electrical Engineering & Computer Science, Univ of SouthernDirección de correo verificada de usc.edu
Geng YuanUniversity of GeorgiaDirección de correo verificada de uga.edu
Xiaolong MaAssistant Professor, Clemson UniversityDirección de correo verificada de clemson.edu
Naehyuck ChangSamsung SDIDirección de correo verificada de samsung.com
Jian TangProfessor, IEEE Fellow and ACM Distinguished Member, Department of EECS, Syracuse UniversityDirección de correo verificada de syr.edu
Bin RenWilliam & Mary; Pacific Northwest National Laboratories; Ohio State UniversityDirección de correo verificada de cs.wm.edu
Wei NiuUniversity of GeorgiaDirección de correo verificada de uga.edu
Sijia LiuMichigan State University & MIT-IBM Watson AI LabDirección de correo verificada de msu.edu
Caiwen DingAssociate Professor, University of Minnesota Twin CitiesDirección de correo verificada de umn.edu
Qinru QiuProfessor of Computer Engineering, Syracuse UniversityDirección de correo verificada de syr.edu
pu zhaoNortheastern UniversityDirección de correo verificada de husky.neu.edu
Yanyu LiPhD, Northeastern UniversityDirección de correo verificada de northeastern.edu
Ning LiuHumanoid RoboticsDirección de correo verificada de x-humanoid.com
Zhengang LiStudent， Northeastern UniversityDirección de correo verificada de husky.neu.edu
Bo YuanRutgers UniversityDirección de correo verificada de soe.rutgers.edu
Sheng LinTencent AmericaDirección de correo verificada de tencent.com
Shahin NazarianUniversity of Southern California, Professor of Electrical and Computer Engineering PracticeDirección de correo verificada de usc.edu
Kaidi XuAssistant Professor, Drexel UniversityDirección de correo verificada de northeastern.edu
Xuehai QianTsinghua UniversityDirección de correo verificada de tsinghua.edu.cn

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Yanzhi Wang

Northeastern University

Dirección de correo verificada de northeastern.edu - Página principal

Energy efficient and High Performance Deep Learning Neuromorphic Computing Low-Power Circuits and


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	553	2017
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	551	2018
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	464	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	445	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	443	2019
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	425	2019
Adversarial t-shirt! evading person detectors in a physical world K Xu, G Zhang, S Liu, Q Fan, M Sun, H Chen, PY Chen, Y Wang, X Lin Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	387	2020
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	341	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	338	2017
Efficientformer: Vision transformers at mobilenet speed Y Li, G Yuan, Y Wen, J Hu, G Evangelidis, S Tulyakov, Y Wang, J Ren Advances in Neural Information Processing Systems 35, 12934-12949, 2022	331	2022
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	321	2017
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	305	2019
Patdnn: Achieving real-time dnn execution on mobile devices with pattern-based weight pruning W Niu, X Ma, S Lin, S Wang, X Qian, X Lin, Y Wang, B Ren Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020	291	2020
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	283	2014
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	267	2017
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	251	2018
Autocompress: An automatic dnn structured pruning framework for ultra-high compression rates N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4876-4883, 2020	233	2020
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	217	2019
Pconv: The missing but desirable sparsity in dnn weight pruning for real-time execution on mobile devices X Ma, FM Guo, W Niu, X Lin, J Tang, K Ma, B Ren, Y Wang Proceedings of the AAAI conference on artificial intelligence 34 (04), 5117-5124, 2020	204	2020
Adversarial robustness vs. model compression, or both? S Ye, K Xu, S Liu, H Cheng, JH Lambrechts, H Zhang, A Zhou, K Ma, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 111-120, 2019	194	2019

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