| Learning structured sparsity in deep neural networks W Wen, C Wu, Y Wang, Y Chen, H Li Advances in neural information processing systems 29, 2016 | 3042 | 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 30, 2017 | 1186 | 2017 |
| Visual saliency detection by spatially weighted dissimilarity L Duan, C Wu, J Miao, L Qing, Y Fu CVPR 2011, 473-480, 2011 | 341 | 2011 |
| 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, 658-666, 2017 | 186 | 2017 |
| Handwritten character recognition by alternately trained relaxation convolutional neural network C Wu, W Fan, Y He, J Sun, S Naoi 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014 | 166 | 2014 |
| Fpga acceleration of recurrent neural network based language model S Li, C Wu, H Li, B Li, Y Wang, Q Qiu 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom …, 2015 | 138 | 2015 |
| 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 |
| A compact dnn: approaching googlenet-level accuracy of classification and domain adaptation C Wu, W Wen, T Afzal, Y Zhang, Y Chen Proceedings of the IEEE conference on computer vision and pattern …, 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 | 50 | 2018 |
| 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 |
| MAT: A multi-strength adversarial training method to mitigate adversarial attacks C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, Y Chen, H Li 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 476-481, 2018 | 37 | 2018 |
| 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 | 36 | 2017 |
| 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 | 32 | 2016 |
| Detection of front-view vehicle with occlusions using AdaBoost C Wu, L Duan, J Miao, F Fang, X Wang 2009 International Conference on Information Engineering and Computer …, 2009 | 25 | 2009 |
| Cascaded heterogeneous convolutional neural networks for handwritten digit recognition C Wu, W Fan, Y He, J Sun, S Naoi Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 21 | 2012 |
| Adversarial attack: A new threat to smart devices and how to defend it C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, H Li IEEE Consumer Electronics Magazine 9 (4), 49-55, 2020 | 19 | 2020 |
| Adaptive local receptive field convolutional neural networks for handwritten Chinese character recognition L Chen, C Wu, W Fan, J Sun, S Naoi Pattern Recognition: 6th Chinese Conference, CCPR 2014, Changsha, China …, 2014 | 19 | 2014 |
| ApesNet: a pixel‐wise efficient segmentation network for embedded devices C Wu, HP Cheng, S Li, H Li, Y Chen IET Cyber‐Physical Systems: Theory & Applications 1 (1), 78-85, 2016 | 16 | 2016 |
| Cloning your mind: Security challenges in cognitive system designs and their solutions B Liu, C Wu, H Li, Y Chen, Q Wu, M Barnell, Q Qiu Proceedings of the 52nd Annual Design Automation Conference, 1-5, 2015 | 16 | 2015 |
| Regularized training and tight certification for randomized smoothed classifier with provable robustness H Feng, C Wu, G Chen, W Zhang, Y Ning Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3858-3865, 2020 | 14 | 2020 |
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke UniversityBestätigte E-Mail-Adresse bei duke.edu