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    Author information
    First name: Qinru
    Last name: Qiu
    DBLP: 64/1120
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    Below you find the publications which have been written by this author.

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    Conference paper
    Ji Li, Ao Ren, Zhe Li 0001, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang.
    Towards acceleration of deep convolutional neural networks using stochastic computing.
    22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017, Chiba, Japan, January 16-19, 2017 2017 (0) 2017
    Journal article
    Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang.
    A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Ji Li, Zihao Yuan, Zhe Li 0001, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang.
    Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Ao Ren, Zhe Li 0001, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan.
    SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing.
    Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2017, Xi'an, China, April 8-12, 2017 2017 (0) 2017
    Conference paper
    Qiuwen Chen, Qinru Qiu.
    Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor.
    Design, Automation Test in Europe Conference Exhibition, DATE 2017, Lausanne, Switzerland, March 27-31, 2017 2017 (0) 2017
    Conference paper
    Zhe Li 0001, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey T. Draper, Yanzhi Wang.
    Structural design optimization for deep convolutional neural networks using stochastic computing.
    Design, Automation Test in Europe Conference Exhibition, DATE 2017, Lausanne, Switzerland, March 27-31, 2017 2017 (0) 2017
    Conference paper
    Zihao Yuan, Ji Li, Zhe Li 0001, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang.
    Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks.
    Proceedings of the on Great Lakes Symposium on VLSI 2017, Banff, AB, Canada, May 10-12, 2017 2017 (0) 2017
    Conference paper
    Ji Li, Zihao Yuan, Zhe Li 0001, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang.
    Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu.
    Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang.
    A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning.
    37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, Atlanta, GA, USA, June 5-8, 2017 2017 (0) 2017
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