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    Author information
    First name: Hanghang
    Last name: Tong
    DBLP: 58/1757
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    Below you find the publications which have been written by this author.

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    Conference paper
    Xinsong Yang, Lei Shi, Madelaine Daianu, Hanghang Tong, Qingsong Liu, Paul M. Thompson.
    Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation.
    IEEE Trans. Vis. Comput. Graph. 2017, Volume 23 (0) 2017
    Conference paper
    Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler.
    Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan.
    Guest Editorial: Big Scholar Data Discovery and Collaboration.
    IEEE Trans. Big Data 2017, Volume 3 (0) 2017
    Conference paper
    Chen Chen 0022, Hanghang Tong.
    On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms.
    Statistical Analysis and Data Mining 2017, Volume 10 (0) 2017
    Conference paper
    Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong.
    Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data.
    Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017 2017 (0) 2017
    Conference paper
    Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen.
    NEMO: Next Career Move Prediction with Contextual Embedding.
    Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017 2017 (0) 2017
    Conference paper
    Fan Du, Nan Cao, Yu-Ru Lin, Panpan Xu, Hanghang Tong.
    iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration.
    Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, CO, USA, May 06-11, 2017. 2017 (0) 2017
    Conference paper
    Jingwei Xu, Yuan Yao 0001, Hanghang Tong, XianPing Tao, Jian Lu.
    RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Robert Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau.
    Visual Graph Query Construction and Refinement.
    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
    Yuan Yao 0001, Hanghang Tong, Feng Xu, Jian Lu.
    Scalable Algorithms for CQA Post Voting Prediction.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Show item 1 to 10 of 165  

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