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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
    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
    Conference paper
    Fan Yang, Jinfeng Li, James Cheng.
    Husky: Towards a More Efficient and Expressive Distributed Computing Framework.
    PVLDB 2015, Volume 9 (0) 2016
    Conference paper
    Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke.
    Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng.
    Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Da Yan, Yuzhen Huang, James Cheng, Huanhuan Wu.
    Efficient Processing of Very Large Graphs in a Small Cluster.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Da Yan, James Cheng, Fan Yang.
    Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Yanyan Xu, James Cheng, Ada Wai-Chee Fu.
    Distributed Maximal Clique Computation and Management.
    IEEE T. Services Computing 2016, Volume 9 (0) 2016
    Conference paper
    Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng.
    A General-Purpose Query-Centric Framework for Querying Big Graphs.
    PVLDB 2015, Volume 9 (0) 2016
    Conference paper
    Luyang Wang, Pallab Bhattacharya, Yao-Min Chen, Shrinivas Joshi, James Cheng.
    End-to-End Java Security Performance Enhancements for Oracle SPARC Servers.
    Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, ICPE 2016, Delft, The Netherlands, March 12-16, 2016 2016 (0) 2016
    Conference paper
    Fanhua Shang, Yuanyuan Liu, James Cheng.
    Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization.
    Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 (0) 2016
    Conference paper
    Qizhen Zhang, Da Yan, James Cheng.
    Quegel: A General-Purpose System for Querying Big Graphs.
    Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Conference paper
    Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng.
    Big Graph Analytics Systems.
    Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Conference paper
    Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke.
    Reachability and time-based path queries in temporal graphs.
    32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016 2016 (0) 2016
    Journal article
    Fanhua Shang, Yuanyuan Liu, James Cheng.
    Unified Scalable Equivalent Formulations for Schatten Quasi-Norms.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Fanhua Shang, Yuanyuan Liu, James Cheng.
    Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Cheng Chen, Hejun Wu, Dyce Jing Zhao, Da Yan, James Cheng.
    SGraph: A Distributed Streaming System for Processing Big Graphs.
    Big Data Computing and Communications - Second International Conference, BigCom 2016, Shenyang, China, July 29-31, 2016. Proceedings 2016 (0) 2016
    Conference paper
    Fanhua Shang, Yuanyuan Liu, James Cheng.
    Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization.
    Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016 2016 (0) 2016
    Conference paper
    Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui.
    Diversified Temporal Subgraph Pattern Mining.
    Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016 2016 (0) 2016
    Conference paper
    Huanhuan Wu, James Cheng, Yiping Ke, Silu Huang, Yuzhen Huang, Hejun Wu.
    Efficient Algorithms for Temporal Path Computation.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Conference paper
    Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng.
    Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition.
    IEEE Trans. Neural Netw. Learning Syst. 2016, Volume 27 (0) 2016
    Show item 1 to 25 of 102  

    Your query returned 102 matches in the database.