Publications
Search

Publications :: Search

Show author

On this page you see the details of the selected author.

    Author information
    First name: Hanghang
    Last name: Tong
    DBLP: 58/1757
    Rating: (not rated yet)
    Bookmark:

    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 168  
    Select a publication
    Show Title Venue Rating Date
    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
    Conference paper
    Chen Chen 0022, Hanghang Tong, Lei Xie, Lei Ying, Qing He.
    Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.
    TKDD 2016, Volume 11 (0) 2017
    Conference paper
    Yuan Yao 0001, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu.
    Version-Aware Rating Prediction for Mobile App Recommendation.
    ACM Trans. Inf. Syst. 2016, Volume 35 (0) 2017
    Conference paper
    Chen Chen 0022, Jingrui He, Nadya Bliss, Hanghang Tong.
    Towards Optimal Connectivity on Multi-Layered Networks.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Journal article
    Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li, Walter Luyten, Marie-Francine Moens.
    Fast and Flexible Top-
    ACM Trans. Inf. Syst. 2017, Volume 36 (0) 2017
    Conference paper
    Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia.
    Rapid Analysis of Network Connectivity.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 (0) 2017
    Conference paper
    Chenhao Xie, Lihan Chen, Jiaqing Liang, Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang.
    Automatic Navbox Generation by Interpretable Clustering over Linked Entities.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 (0) 2017
    Conference paper
    Yuan Yao 0001, Hanghang Tong, Feng Xu, Jian Lu.
    On the Measurement and Prediction of Web Content Utility: A Review.
    SIGKDD Explorations 2017, Volume 19 (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
    Show item 1 to 25 of 168  

    Your query returned 168 matches in the database.