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    First name: Hanghang
    Last name: Tong
    DBLP: 58/1757
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    Conference paper
    Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss.
    GTA
    Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018 2018 (0) 2018
    Conference paper
    Liangyue Li, Hanghang Tong.
    Network Science of Teams: Characterization, Prediction, and Optimization.
    Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018 2018 (0) 2018
    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
    Conference paper
    Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan.
    iNEAT: Incomplete Network Alignment.
    2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017 2017 (0) 2017
    Conference paper
    Hanghang Tong.
    Inside the Atoms: Mining a Network of Networks and Beyond.
    2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017 2017 (0) 2017
    Conference paper
    Liangyue Li, Hanghang Tong.
    Uncovering Teamwork in Networks - Prediction, Optimization and Explanation.
    2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017 2017 (0) 2017
    Conference paper
    Qiao Liu, Chen Chen 0022, Annie Gao, Hanghang Tong, Lei Xie.
    VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease.
    2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017 2017 (0) 2017
    Conference paper
    Jie Tang, Hanghang Tong, Michalis Vazirgiannis.
    Special focus on natural language processing and social computing.
    SCIENCE CHINA Information Sciences 2017, Volume 60 (0) 2017
    Conference paper
    Xing Su, Yuan Yao, Qing He, Jie Lu, Hanghang Tong.
    Personalized travel mode detection with smartphone sensors.
    2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 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 0001.
    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
    Conference paper
    Hanghang Tong, Fei Wang 0001, Munmun De Choudhury, Zoran Obradovic.
    Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue.
    TKDD 2015, Volume 10 (0) 2016
    Conference paper
    Yuechang Liu, Hanghang Tong, Xie Lei, Yong Tang.
    Network based models and path based features for gene prioritization.
    20th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2016, Nanchang, China, May 4-6, 2016 2016 (0) 2016
    Conference paper
    Xing Su, Hernan Caceres, Hanghang Tong, Qing He.
    Online Travel Mode Identification Using Smartphones With Battery Saving Considerations.
    IEEE Transactions on Intelligent Transportation Systems 2016, Volume 17 (0) 2016
    Journal article
    Jian Pei, Guoliang Li 0001, Hanghang Tong.
    Preface.
    Big Data Research 2016, Volume 5 (0) 2016
    Conference paper
    Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu.
    ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
    Conference paper
    Yong Wu, Yuan Yao 0001, Feng Xu, Hanghang Tong, Jian Lu.
    Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
    Conference paper
    Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang 0009.
    BigNet 2016: First Workshop on Big Network Analytics.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
    Conference paper
    Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler.
    TEAMOPT: Interactive Team Optimization in Big Networks.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
    Conference paper
    Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang 0001.
    Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model.
    BMC Bioinformatics 2016, Volume 17 (0) 2016
    Journal article
    Yuan Yao, Hanghang Tong, Tao Xie 0001, Leman Akoglu, Feng Xu, Jian Lu.
    Detecting high-quality posts in community question answering sites.
    Inf. Sci. 2015, Volume 302 (0) 2015
    Conference paper
    Robert Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng Chau.
    Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design.
    Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, IUI 2015, Atlanta, GA, USA, March 29 - April 01, 2015 2015 (0) 2015
    Conference paper
    Hui Wang, Wanyun Cui, Yanghua Xiao, Hanghang Tong.
    Robust network construction against intentional attacks.
    2015 International Conference on Big Data and Smart Computing, BIGCOMP 2015, Jeju, South Korea, February 9-11, 2015 2015 (0) 2015
    Journal article
    Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng.
    Robust bilinear factorization with missing and grossly corrupted observations.
    Inf. Sci. 2015, Volume 307 (0) 2015
    Conference paper
    Leman Akoglu, Hanghang Tong, Danai Koutra.
    Graph based anomaly detection and description: a survey.
    Data Min. Knowl. Discov. 2015, Volume 29 (0) 2015
    Conference paper
    Deqing Yang, Yanghua Xiao, Hanghang Tong, Junjun Zhang, Wei Wang 0009.
    An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling.
    Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20-23, 2015, Proceedings, Part I 2015 (0) 2015
    Conference paper
    Nan Cao, Yu-Ru Lin, Liangyue Li, Hanghang Tong.
    g-Miner: Interactive Visual Group Mining on Multivariate Graphs.
    Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015, Seoul, Republic of Korea, April 18-23, 2015 2015 (0) 2015
    Journal article
    Liangyue Li, Hanghang Tong.
    The Child is Father of the Man: Foresee the Success at the Early Stage.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li.
    Panther: Fast Top-k Similarity Search in Large Networks.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler.
    Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation.
    Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015 2015 (0) 2015
    Conference paper
    José F. Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos.
    Large Graph Analysis in the GMine System.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Jose Rodrigues, Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec.
    GMine: A System for Scalable, Interactive Graph Visualization and Mining.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu.
    Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison.
    Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 2015 (0) 2015
    Conference paper
    Liangyue Li, Hanghang Tong.
    The Child is Father of the Man: Foresee the Success at the Early Stage.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He.
    Facets: Fast Comprehensive Mining of Coevolving High-order Time Series.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li.
    Panther: Fast Top-k Similarity Search on Large Networks.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang.
    Flexible and Robust Multi-Network Clustering.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin.
    VEGAS: Visual influEnce GrAph Summarization on Citation Networks.
    IEEE Trans. Knowl. Data Eng. 2015, Volume 27 (0) 2015
    Conference paper
    Deqing Yang, Yanghua Xiao, Hanghang Tong, Wanyun Cui, Wei Wang 0009.
    Towards Topic Following in Heterogeneous Information Networks.
    Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25 - 28, 2015 2015 (0) 2015
    Conference paper
    Long T. Le, Tina Eliassi-Rad, Hanghang Tong.
    MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps.
    Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 2015 (0) 2015
    Conference paper
    Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji.
    Fast Mining of a Network of Coevolving Time Series.
    Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 2015 (0) 2015
    Conference paper
    Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong.
    On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.
    2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015 2015 (0) 2015
    Conference paper
    Lei Shi, Hanghang Tong, Xinzhu Mu.
    BrainQuest: Perception-Guided Brain Network Comparison.
    2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015 2015 (0) 2015
    Conference paper
    Zhen Chen, Hanghang Tong, Lei Ying.
    Full diffusion history reconstruction in networks.
    2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29 - November 1, 2015 2015 (0) 2015
    Conference paper
    Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang 0010, Xiang Zhang.
    Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.
    2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015 2015 (0) 2015
    Conference paper
    Greg Olmschenk, Christopher Yang, Zhigang Zhu, Hanghang Tong, William H. Seiple.
    Mobile Crowd Assisted Navigation for the Visually Impaired.
    2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), Beijing 2015 (0) 2015
    Conference paper
    Chen Chen 0022, Hanghang Tong.
    Fast Eigen-Functions Tracking on Dynamic Graphs.
    Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 2015 (0) 2015
    Conference paper
    Yuechang Liu, Hanghang Tong, Lei Xie, Yong Tang.
    Supervised Link Prediction Using Random Walks.
    Social Media Processing - 4th National Conference, SMP 2015, Guangzhou, China, November 16-17, 2015, Proceedings 2015 (0) 2015
    Conference paper
    Peng Cui, Fei Wang 0001, Hanghang Tong, Manuel Gomez-Rodriguez.
    1st workshop on diffusion networks and cascade analytics.
    Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014 2014 (0) 2014
    Conference paper
    Jagat Sastry Pudipeddi, Leman Akoglu, Hanghang Tong.
    User churn in focused question answering sites: characterizations and prediction.
    23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume 2014 (0) 2014
    Conference paper
    Hanghang Tong.
    Query complex graph patterns: tools and applications.
    23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume 2014 (0) 2014
    Conference paper
    Leman Akoglu, Hanghang Tong, Danai Koutra.
    Graph-based Anomaly Detection and Description: A Survey.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Hau Chan, Leman Akoglu, Hanghang Tong.
    Make It or Break It: Manipulating Robustness in Large Networks.
    Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 2014 (0) 2014
    Conference paper
    Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong.
    Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion.
    Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 2014 (0) 2014
    Journal article
    Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang 0011.
    The Links Have It: Infobox Generation by Summarization over Linked Entities.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin.
    Flow-based Influence Graph Visual Summarization.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu.
    Predicting long-term impact of CQA posts: a comprehensive viewpoint.
    The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 2014 (0) 2014
    Conference paper
    Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang.
    Inside the atoms: ranking on a network of networks.
    The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 2014 (0) 2014
    Conference paper
    Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Yue Zhao, Chuang Lin.
    Hierarchical Focus+Context Heterogeneous Network Visualization.
    IEEE Pacific Visualization Symposium, PacificVis 2014, Yokohama, Japan, March 4-7, 2014 2014 (0) 2014
    Conference paper
    Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler.
    Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng.
    Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Yuan Yao, Hanghang Tong, Tao Xie 0001, Leman Akoglu, Feng Xu, Jian Lu.
    Joint voting prediction for questions and answers in CQA.
    2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014 2014 (0) 2014
    Conference paper
    Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu.
    Dual-Regularized One-Class Collaborative Filtering.
    Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014 2014 (0) 2014
    Conference paper
    Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang 0009.
    WiiCluster: a Platform for Wikipedia Infobox Generation.
    Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014 2014 (0) 2014
    Conference paper
    Xing Su, Hanghang Tong, Ping Ji.
    Accelerometer-based Activity Recognition on Smartphone.
    Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014 2014 (0) 2014
    Conference paper
    Robert Pienta, Acar Tamersoy, Hanghang Tong, Duen Horng Chau.
    MAGE: Matching approximate patterns in richly-attributed graphs.
    2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014 2014 (0) 2014
    Book chapter
    Hanghang Tong.
    Big Data Classification.
    Data Classification: Algorithms and Applications 2014 (0) 2014
    Conference paper
    Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin.
    Flow-Based Influence Graph Visual Summarization.
    2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014 2014 (0) 2014
    Conference paper
    Yuan Yao 0001, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu.
    Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model.
    IEEE Trans. Knowl. Data Eng. 2014, Volume 26 (0) 2014
    Conference paper
    Yuan Yao 0001, Hanghang Tong, Feng Xu, Jian Lu.
    Subgraph Extraction for Trust Inference in Social Networks.
    Encyclopedia of Social Network Analysis and Mining 2014 (0) 2014
    Journal article
    José F. Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos.
    Large Graph Analysis in the GMine System.
    IEEE Trans. Knowl. Data Eng. 2013, Volume 25 (0) 2013
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