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    Author information
    First name: James
    Last name: Cheng
    DBLP: 06/4171
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    Below you find the publications which have been written by this author.

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    Conference paper
    Da Yan, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang.
    GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit.
    IEEE Trans. Parallel Distrib. Syst. 2018, Volume 29 (0) 2018
    Journal article
    Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao.
    Scalable De Novo Genome Assembly Using Pregel.
    CoRR 2018, Volume 0 (0) 2018
    Conference paper
    Yuzhen Huang, Tatiana Jin, Yidi Wu, Zhenkun Cai, Xiao Yan, Fan Yang, Jinfeng Li, Yuying Guo, James Cheng.
    FlexPS: Flexible Parallelism Control in Parameter Server Architecture.
    PVLDB 2017, Volume 11 (0) 2018
    Journal article
    Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka.
    Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering.
    Knowl. Inf. Syst. 2017, Volume 53 (0) 2017
    Conference paper
    Yuanyuan Liu, Fanhua Shang, James Cheng.
    Accelerated Variance Reduced Stochastic ADMM.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Fan Yang, Fanhua Shang, Yuzhen Huang, James Cheng, Jinfeng Li, Yunjian Zhao, Ruihao Zhao.
    LFTF: A Framework for Efficient Tensor Analytics at Scale.
    PVLDB 2016, Volume 10 (0) 2017
    Conference paper
    Huanhuan Wu, Yunjian Zhao, James Cheng, Da Yan.
    Efficient Processing of Growing Temporal Graphs.
    Database Systems for Advanced Applications - 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II 2017 (0) 2017
    Conference paper
    Fanhua Shang, Yuanyuan Liu, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida.
    Variance Reduced Stochastic Gradient Descent with Sufficient Decrease.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Fanhua Shang, Yuanyuan Liu, James Cheng, Jiacheng Zhuo.
    Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Fan Yang, Yuzhen Huang, Yunjian Zhao, Jinfeng Li, Guanxian Jiang, James Cheng.
    The Best of Both Worlds: Big Data Programming with Both Productivity and Performance.
    Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017 (0) 2017
    Show item 1 to 10 of 111  

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