Artigos com autorizações de acesso público - Wei WenSaiba mais
5 artigos não disponíveis publicamente
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
Autorizações: US National Science Foundation
Leveraging stochastic memristor devices in neuromorphic hardware systems
M Hu, Y Wang, W Wen, Y Wang, H Li
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 6 (2 …, 2016
Autorizações: US National Science Foundation
Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss
HP Cheng, W Wen, C Song, B Liu, H Li, Y Chen
2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2016
Autorizações: US National Science Foundation
Learning efficient sparse structures in speech recognition
J Zhang, W Wen, M Deisher, HP Cheng, H Li, Y Chen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Autorizações: US National Science Foundation
Exploration of automatic mixed-precision search for deep neural networks
X Guo, Y Huang, H Cheng, B Li, W Wen, S Ma, H Li, Y Chen
2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019
Autorizações: US Department of Energy, US Department of Defense
21 artigos disponíveis publicamente
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
Autorizações: US National Science Foundation
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
Autorizações: US National Science Foundation, US Department of Energy
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
Autorizações: US Department of Defense
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
Autorizações: US National Science Foundation
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
Autorizações: National Natural Science Foundation of China
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
Autorizações: US National Science Foundation
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
Autorizações: US National Science Foundation, US Department of Energy
Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification
H Yang, M Tang, W Wen, F Yan, D Hu, A Li, H Li, Y Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Autorizações: US National Science Foundation, US Department of Energy
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
Autorizações: US National Science Foundation, US Department of Energy
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
Autorizações: US National Science Foundation
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
Autorizações: US National Science Foundation, US Department of Defense
A quantization-aware regularized learning method in multilevel memristor-based neuromorphic computing system
C Song, B Liu, W Wen, H Li, Y Chen
2017 IEEE 6th Non-Volatile Memory Systems and Applications Symposium (NVMSA …, 2017
Autorizações: US National Science Foundation
Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective
HP Cheng, W Wen, C Wu, S Li, HH Li, Y Chen
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
Autorizações: US Department of Defense
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
W Wen, F Yan, Y Chen, H Li
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020
Autorizações: US National Science Foundation, US Department of Energy
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
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
Autorizações: US National Science Foundation
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