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    Author information
    First name: Jun
    Last name: Zhu
    DBLP: 50/2644
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    Below you find the publications which have been written by this author.

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    Conference paper
    Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu.
    Towards Better Analysis of Deep Convolutional Neural Networks.
    IEEE Trans. Vis. Comput. Graph. 2017, Volume 23 (0) 2017
    Conference paper
    Haitian Lu, Jun Zhu, Chunwu Wang, Donghong Wang, Ning Zhao.
    A Riemann problem based method for solving compressible and incompressible flows.
    J. Comput. Physics 2017, Volume 330 (0) 2017
    Conference paper
    Shaohua Li, Jun Zhu, Chunyan Miao.
    PSDVec: A toolbox for incremental and scalable word embedding.
    Neurocomputing 2017, Volume 237 (0) 2017
    Conference paper
    Kaili Jiang, Jun Zhu, Bin Tang.
    Spectral reconstruction of signals from periodic nonuniform subsampling based on a Nyquist folding scheme.
    EURASIP J. Adv. Sig. Proc. 2017, Volume 2017 (0) 2017
    Conference paper
    Ariella Cohain, Aparna A. Divaraniya, Kuixi Zhu, Joseph R. Scarpa, Andrew Kasarskis, Jun Zhu, Rui Chang, Joel Dudley, Eric E. Schadt.
    Exploring the Reproducibility of Probabilistic Causal Molecular Network Models
    Biocomputing 2017: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2017 2017 (0) 2017
    Conference paper
    Shudong Chen, Shuxu Guo, Haofeng Wang, Miao He, Xiaoyan Liu, Yu Qiu, Shuang Zhang, Zhiwen Yuan, Haiyang Zhang, Dong Fang, Jun Zhu.
    An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration.
    Sensors 2017, Volume 17 (0) 2017
    Conference paper
    Jun Zhu, Wei Xu 0001, Ning Wang.
    Secure Massive MIMO Systems With Limited RF Chains.
    IEEE Trans. Vehicular Technology 2017, Volume 66 (0) 2017
    Conference paper
    Xin Ge, Hu Jin, Jun Zhu, Julian Cheng, Victor C. M. Leung.
    Exploiting Opportunistic Scheduling in Uplink Wiretap Networks.
    IEEE Trans. Vehicular Technology 2017, Volume 66 (0) 2017
    Journal article
    Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi.
    Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jun Zhu, Jianxian Qiu.
    A New Type of Modified WENO Schemes for Solving Hyperbolic Conservation Laws.
    SIAM J. Scientific Computing 2017, Volume 39 (0) 2017
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