| Learning structured sparsity in deep neural networks W Wen, C Wu, Y Wang, Y Chen, H Li arXiv preprint arXiv:1608.03665, 2016 | 1460 | 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 arXiv preprint arXiv:1705.07878, 2017 | 523 | 2017 |
| Visual saliency detection by spatially weighted dissimilarity L Duan, C Wu, J Miao, L Qing, Y Fu CVPR 2011, 473-480, 2011 | 294 | 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 | 98 | 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 | 98 | 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 | 97 | 2015 |
| Convolutional-neural-network-based classifier and classifying method and training methods for the same WU Chunpeng, W Fan, Y He, J Sun US Patent 9,697,444, 2017 | 44 | 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 | 32 | 2017 |
| 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 | 29 | 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 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2016 | 27 | 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 | 22 | 2009 |
| 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 | 21 | 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 | 16 | 2018 |
| 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 | 14 | 2012 |
| 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 | 12 | 2017 |
| 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 | 12 | 2015 |
| Adaptive local receptive field convolutional neural networks for handwritten Chinese character recognition L Chen, C Wu, W Fan, J Sun, S Naoi Chinese Conference on Pattern Recognition, 455-463, 2014 | 12 | 2014 |
| 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 | 11 | 2018 |
| Visual conspicuity index: Spatial dissimilarity, distance, and central bias L Duan, C Wu, J Miao, AC Bovik IEEE Signal Processing Letters 18 (11), 690-693, 2011 | 11 | 2011 |
| 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 | 8 | 2016 |
