| 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 | 3044 | 2016 |
| 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 | 1185 | 2017 |
| 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 | 304 | 2017 |
| 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 | 240 | 2020 |
| 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 | 235 | 2019 |
| 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 | 186 | 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 | 159 | 2018 |
| 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 | 146* | 2020 |
| DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures H Yang, W Wen, H Li International Conference on Learning Representations (ICLR), 2020 | 131 | 2020 |
| 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 | 115* | 2019 |
| 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 | 99 | 2017 |
| 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 | 90 | 2018 |
| 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 | 86 | 2020 |
| 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 | 71 | 2017 |
| 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 | 58* | 2018 |
| 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 | 58 | 2015 |
| An EDA framework for large scale hybrid neuromorphic computing systems W Wen, CR Wu, X Hu, B Liu, TY Ho, X Li, Y Chen Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015 | 53 | 2015 |
| Holistic sparsecnn: Forging the trident of accuracy, speed, and size J Park, SR Li, W Wen, H Li, Y Chen, P Dubey arXiv preprint arXiv:1608.01409 1 (2), 2016 | 45 | 2016 |
| 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 | 44 | 2018 |
| 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 | 42 | 2020 |
Hai LiMarie Foote Reel E'46 Distinguished Professor of ECE Dept, Duke Univ.Geverifieerd e-mailadres voor duke.edu