Search Results - "HANGHANG TONG"

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  1. 1

    Graph based anomaly detection and description: a survey by Akoglu, Leman, Tong, Hanghang, Koutra, Danai

    Published in Data mining and knowledge discovery (01-05-2015)
    “…Detecting anomalies in data is a vital task, with numerous high-impact applications in areas such as security, finance, health care, and law enforcement. While…”
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    Journal Article
  2. 2

    Graph convolutional networks: a comprehensive review by Zhang, Si, Tong, Hanghang, Xu, Jiejun, Maciejewski, Ross

    Published in Computational social networks (10-11-2019)
    “…Graphs naturally appear in numerous application domains, ranging from social analysis, bioinformatics to computer vision. The unique capability of graphs…”
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    Journal Article
  3. 3

    A deep multimodal model for bug localization by Zhu, Ziye, Li, Yun, Wang, Yu, Wang, Yaojing, Tong, Hanghang

    Published in Data mining and knowledge discovery (01-07-2021)
    “…Bug localization utilizes the collected bug reports to locate the buggy source files. The state of the art falls short in handling the following three aspects,…”
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    Journal Article
  4. 4

    Online Travel Mode Identification Using Smartphones With Battery Saving Considerations by Xing Su, Caceres, Hernan, Hanghang Tong, Qing He

    “…Personal trips in modern urban society usually involve multiple travel modes. Recognizing a traveler's transportation mode is not only critical to personal…”
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    Journal Article
  5. 5

    Node Immunization on Large Graphs: Theory and Algorithms by Chen Chen, Hanghang Tong, Prakash, B. Aditya, Tsourakakis, Charalampos E., Eliassi-Rad, Tina, Faloutsos, Christos, Duen Horng Chau

    “…Given a large graph, like a computer communication network, which k nodes should we immunize (or monitor, or remove), to make it as robust as possible against…”
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    Journal Article
  6. 6

    VEGAS: Visual influEnce GrAph Summarization on Citation Networks by Shi, Lei, Tong, Hanghang, Tang, Jie, Lin, Chuang

    “…Visually analyzing citation networks poses challenges to many fields of the data mining research. How can we summarize a large citation graph according to the…”
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    Journal Article
  7. 7

    Generalized Manifold-Ranking-Based Image Retrieval by JINGRUI HE, MINGJING LI, ZHANG, Hong-Jiang, HANGHANG TONG, CHANGSHUI ZHANG

    Published in IEEE transactions on image processing (01-10-2006)
    “…In this paper, we propose a general transductive learning framework named generalized manifold-ranking-based image retrieval (gMRBIR) for image retrieval…”
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    Journal Article
  8. 8

    Data-Driven Computational Social Science: A Survey by Zhang, Jun, Wang, Wei, Xia, Feng, Lin, Yu-Ru, Tong, Hanghang

    Published in Big data research (01-09-2020)
    “…Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the…”
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    Journal Article
  9. 9

    Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing by Lim, Hansaim, Poleksic, Aleksandar, Yao, Yuan, Tong, Hanghang, He, Di, Zhuang, Luke, Meng, Patrick, Xie, Lei

    Published in PLoS computational biology (01-10-2016)
    “…Target-based screening is one of the major approaches in drug discovery. Besides the intended target, unexpected drug off-target interactions often occur, and…”
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    Journal Article
  10. 10

    Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation by Xinsong Yang, Lei Shi, Daianu, Madelaine, Hanghang Tong, Qingsong Liu, Thompson, Paul

    “…Visually comparing human brain networks from multiple population groups serves as an important task in the field of brain connectomics. The commonly used brain…”
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    Journal Article
  11. 11

    A Brief Review of Network Embedding by Wang, Yaojing, Yao, Yuan, Tong, Hanghang, Xu, Feng, Lu, Jian

    Published in Big Data Mining and Analytics (01-03-2019)
    “…Learning the representations of nodes in a network can benefit various analysis tasks such as node classification, link prediction, clustering, and anomaly…”
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    Journal Article
  12. 12

    Incremental one-class collaborative filtering with co-evolving side networks by Chen, Chen, Xia, Yinglong, Zang, Hui, Li, Jundong, Liu, Huan, Tong, Hanghang

    Published in Knowledge and information systems (2021)
    “…One-class collaborative filtering (OCCF) is a fundamental research problem in a myriad of applications where the preferences of users can only be implicitly…”
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    Journal Article
  13. 13

    Enhancing supervised bug localization with metadata and stack-trace by Wang, Yaojing, Yao, Yuan, Tong, Hanghang, Huo, Xuan, Li, Ming, Xu, Feng, Lu, Jian

    Published in Knowledge and information systems (01-06-2020)
    “…Locating relevant source files for a given bug report is an important task in software development and maintenance. To make the locating process easier,…”
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    Journal Article
  14. 14

    Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model by Yao, Yuan, Tong, Hanghang, Yan, Xifeng, Xu, Feng, Lu, Jian

    “…Inferring the pair-wise trust relationship is a core building block for many real applications. State-of-the-art approaches for such trust inference mainly…”
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    Journal Article
  15. 15

    BIG-ALIGN: Fast Bipartite Graph Alignment by Koutra, Danai, Hanghang Tong, Lubensky, David

    “…How can we find the virtual twin (i.e., the same or similar user) on Linked In for a user on Facebook? How can we effectively link an information network with…”
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    Conference Proceeding Journal Article
  16. 16

    Semi-supervised learning with nuclear norm regularization by Shang, Fanhua, Jiao, L.C., Liu, Yuanyuan, Tong, Hanghang

    Published in Pattern recognition (01-08-2013)
    “…Integrating new knowledge sources into various learning tasks to improve their performance has recently become an interesting topic. In this paper we propose a…”
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    Journal Article
  17. 17

    OnionGraph: Hierarchical topology+attribute multivariate network visualization by Shi, Lei, Liao, Qi, Tong, Hanghang, Hu, Yifan, Wang, Chaoli, Lin, Chuang, Qian, Weihong

    Published in Visual informatics (Online) (01-03-2020)
    “…Hierarchical abstraction is a scalable strategy to deal with large networks. Existing visualization methods have allowed to aggregate the network nodes into…”
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    Journal Article
  18. 18

    gbase: an efficient analysis platform for large graphs by Kang, U, Tong, Hanghang, Sun, Jimeng, Lin, Ching-Yung, Faloutsos, Christos

    Published in The VLDB journal (01-10-2012)
    “…Graphs appear in numerous applications including cyber security, the Internet, social networks, protein networks, recommendation systems, citation networks,…”
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    Journal Article
  19. 19

    Attributed Network Alignment: Problem Definitions and Fast Solutions by Zhang, Si, Tong, Hanghang

    “…Networks are prevalent and often collected from multiple sources in many high-impact domains, which facilitate many emerging applications that require the…”
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    Journal Article
  20. 20

    Recommending People in Developers' Collaboration Network by Surian, D., Liu, N., Lo, D., Hanghang Tong, Ee-Peng Lim, Faloutsos, C.

    “…Many software developments involve collaborations of developers across the globe. This is true for both open-source and closed-source development efforts…”
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    Conference Proceeding