Wujie Wen
Wujie Wen
Associate Professor, Department of Computer Science, NC State University
Verified email at - Homepage
Cited by
Cited by
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
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
DeepN-JPEG: A deep neural network favorable JPEG-based image compression framework
Z Liu, T Liu, W Wen, L Jiang, J Xu, Y Wang, G Quan
Proceedings of the 55th annual design automation conference, 1-6, 2018
Multi-level cell STT-RAM: Is it realistic or just a dream?
Y Zhang, L Zhang, W Wen, G Sun, Y Chen
Proceedings of the International Conference on Computer-Aided Design, 526-532, 2012
AOS: Adaptive overwrite scheme for energy-efficient MLC STT-RAM cache
X Chen, N Khoshavi, J Zhou, D Huang, RF DeMara, J Wang, W Wen, ...
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
Exploration of GPGPU register file architecture using domain-wall-shift-write based racetrack memory
M Mao, W Wen, Y Zhang, Y Chen, H Li
Proceedings of the 51st Annual Design Automation Conference, 1-6, 2014
Defensive dropout for hardening deep neural networks under adversarial attacks
S Wang, X Wang, P Zhao, W Wen, D Kaeli, P Chin, X Lin
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018
Xnor-pop: A processing-in-memory architecture for binary convolutional neural networks in wide-io2 drams
L Jiang, M Kim, W Wen, D Wang
2017 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2017
E-RNN: Design optimization for efficient recurrent neural networks in FPGAs
Z Li, C Ding, S Wang, W Wen, Y Zhuo, C Liu, Q Qiu, W Xu, X Lin, X Qian, ...
2019 IEEE International Symposium on High Performance Computer Architecture …, 2019
Adam-admm: A unified, systematic framework of structured weight pruning for dnns
T Zhang, K Zhang, S Ye, J Li, J Tang, W Wen, X Lin, M Fardad, Y Wang
arXiv preprint arXiv:1807.11091 2 (3), 2018
A fault-tolerant neural network architecture
T Liu, W Wen, L Jiang, Y Wang, C Yang, G Quan
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
On-chip caches built on multilevel spin-transfer torque RAM cells and its optimizations
Y Chen, WF Wong, H Li, CK Koh, Y Zhang, W Wen
ACM Journal on Emerging Technologies in Computing Systems (JETC) 9 (2), 1-22, 2013
CD-ECC: Content-dependent error correction codes for combating asymmetric nonvolatile memory operation errors
W Wen, M Mao, X Zhu, SH Kang, D Wang, Y Chen
2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2013
Tiny but accurate: A pruned, quantized and optimized memristor crossbar framework for ultra efficient dnn implementation
X Ma, G Yuan, S Lin, C Ding, F Yu, T Liu, W Wen, X Chen, Y Wang
2020 25th Asia and South Pacific design automation conference (ASP-DAC), 301-306, 2020
Security analysis and enhancement of model compressed deep learning systems under adversarial attacks
Q Liu, T Liu, Z Liu, Y Wang, Y Jin, W Wen
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 721-726, 2018
Progressive dnn compression: A key to achieve ultra-high weight pruning and quantization rates using admm
S Ye, X Feng, T Zhang, X Ma, S Lin, Z Li, K Xu, W Wen, S Liu, J Tang, ...
arXiv preprint arXiv:1903.09769, 2019
Energy-aware adaptive restore schemes for MLC STT-RAM cache
X Chen, N Khoshavi, RF DeMara, J Wang, D Huang, W Wen, Y Chen
IEEE Transactions on Computers 66 (5), 786-798, 2016
State-restrict MLC STT-RAM designs for high-reliable high-performance memory system
W Wen, Y Zhang, M Mao, Y Chen
Proceedings of the 51st Annual Design Automation Conference, 1-6, 2014
The prospect of STT-RAM scaling from readability perspective
Y Zhang, W Wen, Y Chen
IEEE Transactions on Magnetics 48 (11), 3035-3038, 2012
Machine vision guided 3d medical image compression for efficient transmission and accurate segmentation in the clouds
Z Liu, X Xu, T Liu, Q Liu, Y Wang, Y Shi, W Wen, M Huang, H Yuan, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
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