Learning structured sparsity in deep neural networks W Wen, C Wu, Y Wang, Y Chen, H Li Advances in neural information processing systems 29, 2074-2082, 2016 | 1227 | 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, 1509-1519, 2017 | 419 | 2017 |
Visual saliency detection by spatially weighted dissimilarity L Duan, C Wu, J Miao, L Qing, Y Fu CVPR 2011, 473-480, 2011 | 281 | 2011 |
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 | 89 | 2015 |
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 | 86 | 2014 |
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 | 79 | 2017 |
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 | 37 | 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 | 31 | 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 | 25 | 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 | 22 | 2018 |
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 |
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 | 20 | 2017 |
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 |
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 | 11 | 2018 |
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 | 11 | 2014 |
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 | 10 | 2015 |
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 | 10 | 2011 |
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 | 9 | 2018 |
Text-image separation and indexing in historic patent document image based on extreme learning machine L Duan, B Yuan, C Wu, J Li, Q Guo Proceedings of ELM-2014 Volume 2, 299-307, 2015 | 8 | 2015 |
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 | 7 | 2017 |