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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.

    Show item 1 to 25 of 161  
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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
    Conference paper
    Jingwei Xu, Yuan Yao 0001, Hanghang Tong, XianPing Tao, Jian Lu.
    HoORaYs: High-order Optimization of Rating Distance for Recommender Systems.
    Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 2017 (0) 2017
    Conference paper
    Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He.
    A Local Algorithm for Structure-Preserving Graph Cut.
    Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 2017 (0) 2017
    Conference paper
    Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler.
    Is the Whole Greater Than the Sum of Its Parts?
    Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 2017 (0) 2017
    Conference paper
    Boxin Du, Si Zhang, Nan Cao, Hanghang Tong.
    FIRST: Fast Interactive Attributed Subgraph Matching.
    Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 2017 (0) 2017
    Conference paper
    Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong.
    HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.
    Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. 2017 (0) 2017
    Conference paper
    Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He.
    User-guided Cross-domain Sentiment Classification.
    Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. 2017 (0) 2017
    Journal article
    Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau.
    Node Immunization on Large Graphs: Theory and Algorithms.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Journal article
    Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan.
    Guest Editorial: Big Scholar Data Discovery and Collaboration.
    IEEE Trans. Big Data 2016, Volume 2 (0) 2016
    Conference paper
    Robert Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau.
    VISAGE: Interactive Visual Graph Querying.
    Proceedings of the International Working Conference on Advanced Visual Interfaces, AVI 2016, Bari, Italy, June 7-10, 2016 2016 (0) 2016
    Conference paper
    Lei Shi, Sibai Sun, Yuan Xuan, Yue Su, Hanghang Tong, Shuai Ma, Yang Chen.
    TOPIC: Toward perfect Influence Graph Summarization.
    32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016 2016 (0) 2016
    Conference paper
    Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan.
    Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued).
    IEEE Trans. Big Data 2016, Volume 2 (0) 2016
    Conference paper
    Chen Chen 0022, Hanghang Tong, Lei Xie, Lei Ying, Qing He.
    FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks.
    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
    Si Zhang, Hanghang Tong.
    FINAL: Fast Attributed Network Alignment.
    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
    Liangyue Li, Yuan Yao 0001, Jie Tang, Wei Fan, Hanghang Tong.
    QUINT: On Query-Specific Optimal Networks.
    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
    Chen Chen 0022, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos.
    Eigen-Optimization on Large Graphs by Edge Manipulation.
    TKDD 2015, Volume 10 (0) 2016
    Show item 1 to 25 of 161  

    Your query returned 161 matches in the database.