Wei Wen
Wei Wen
Research Scientist, Facebook AI
Bestätigte E-Mail-Adresse bei fb.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learning Structured Sparsity in Deep Neural Networks
W Wen, C Wu, Y Wang, Y Chen, H Li
Advances In Neural Information Processing Systems, 2074-2082, 2016
13512016
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
W Wen, C Xu, F Yan, C Wu, Y Wang, Y Chen, H Li
Advances In Neural Information Processing Systems, 1508-1518, 2017
4792017
Faster cnns with direct sparse convolutions and guided pruning
J Park, S Li, W Wen, PTP Tang, H Li, Y Chen, P Dubey
International Conference on Learning Representations (ICLR), 2017
140*2017
Learning Intrinsic Sparse Structures within Long Short-term Memory
W Wen, Y He, S Rajbhandari, W Wang, F Liu, B Hu, Y Chen, H Li
International Conference on Learning Representations (ICLR), 2018
962018
Coordinating Filters for Faster Deep Neural Networks
W Wen, C Xu, C Wu, Y Wang, Y Chen, H Li
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017
912017
A novel true random number generator design leveraging emerging memristor technology
Y Wang, W Wen, H Li, M Hu
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 271-276, 2015
442015
An EDA framework for large scale hybrid neuromorphic computing systems
W Wen, CR Wu, X Hu, B Liu, TY Ho, X Li, Y Chen
2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2015
432015
Feature space perturbations yield more transferable adversarial examples
N Inkawhich, W Wen, HH Li, Y Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7066-7074, 2019
382019
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation
C Wu, W Wen, T Afzal, Y Zhang, Y Chen, H Li
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5668-5677, 2017
312017
Neural predictor for neural architecture search
W Wen, H Liu, H Li, Y Chen, G Bender, PJ Kindermans
European Conference on Computer Vision (ECCV), 2020
292020
Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks
Y Wang, W Wen, B Liu, D Chiarulli, H Li
Design Automation Conference (DAC), 2017 54nd ACM/EDAC/IEEE, 2017
282017
PruneTrain: fast neural network training by dynamic sparse model reconfiguration
S Lym, E Choukse, S Zangeneh, W Wen, S Shanghavi, M Erez
Proceedings of the International Conference for High Performance Computing …, 2019
27*2019
A new learning method for inference accuracy, core occupation, and performance co-optimization on TrueNorth chip
W Wen, C Wu, Y Wang, K Nixon, Q Wu, M Barnell, H Li, Y Chen
2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2016
272016
An FPGA design framework for CNN sparsification and acceleration
S Li, W Wen, Y Wang, S Han, Y Chen, H Li
2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017
252017
Mednn: A distributed mobile system with enhanced partition and deployment for large-scale dnns
J Mao, Z Yang, W Wen, C Wu, L Song, KW Nixon, X Chen, H Li, Y Chen
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 751-756, 2017
232017
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
Y Xu, Y Li, S Zhang, W Wen, B Wang, Y Qi, Y Chen, W Lin, H Xiong
International Joint Conference on Artificial Intelligence (IJCAI), 2020
20*2020
Neuromorphic computing's yesterday, today, and tomorrow–an evolutional view
Y Chen, HH Li, C Wu, C Song, S Li, C Min, HP Cheng, W Wen, X Liu
Integration 61, 49-61, 2018
202018
Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems
X Liu, W Wen, X Qian, H Li, Y Chen
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 141-146, 2018
182018
Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses
Y Wang, W Wen, L Song, HH Li
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 776-781, 2017
172017
SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
W Wen, Y Wang, F Yan, C Xu, C Wu, Y Chen, H Li
arXiv preprint arXiv:1805.07898, 2018
16*2018
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