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  1. No Access

    Article

    An effective contrast sequential pattern mining approach to taxpayer behavior analysis

    Data mining for client behavior analysis has become increasingly important in business, however further analysis on transactions and sequential behaviors would be of even greater value, especially in the finan...

    Zhigang Zheng, Wei Wei, Chunming Liu, Wei Cao, Longbing Cao… in World Wide Web (2016)

  2. No Access

    Article

    Efficient moving k nearest neighbor queries over line segment objects

    The growing need for location based services motivates the moving k nearest neighbor query (MkNN), which requires to find the k nearest neighbors of a moving query point continuously. In most existing solutions, ...

    Yu Gu, Hui Zhang, Zhigang Wang, Ge Yu in World Wide Web (2016)

  3. No Access

    Article

    An I/O-efficient and adaptive fault-tolerant framework for distributed graph computations

    In recent year, many large-scale iterative graph computation systems such as Pregel have been developed. To ensure that these systems are fault-tolerant, checkpointing, which archives graph states onto distrib...

    Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Lixin Gao in Distributed and Parallel Databases (2017)

  4. No Access

    Article

    A crowd-efficient learning approach for NER based on online encyclopedia

    Named Entity Recognition (NER) is a core task of NLP. State-of-art supervised NER models rely heavily on a large amount of high-quality annotated data, which is quite expensive to obtain. Various existing ways...

    Maolong Li, Zhixu Li, Qiang Yang, Zhigang Chen, Pengpeng Zhao, Lei Zhao in World Wide Web (2020)

  5. No Access

    Article

    POLYTOPE: a flexible sampling system for answering exploratory queries

    Data exploration task is usually quite time-consuming. Analysts who want to find interests or verify their hypothesis may prefer a lower response time while tolerating a bounded error. Approximate query proces...

    Zhigang Wu, Yinan **g, Zhenying He, Chenghao Guo, X. Sean Wang in World Wide Web (2020)

  6. No Access

    Article

    Geographical address representation learning for address matching

    Address matching is a crucial task in various location-based businesses like take-out services and express delivery, which aims at identifying addresses referring to the same location in address databases. It ...

    Shuangli Shan, Zhixu Li, Qiang Yang, An Liu, Lei Zhao, Guanfeng Liu… in World Wide Web (2020)

  7. No Access

    Article

    End-to-end relation extraction based on bootstrapped multi-level distant supervision

    Distant supervised relation extraction has been widely used to identify new relation facts from free text, since the existence of knowledge base helps these models to build a large dataset with few human inter...

    Ying He, Zhixu Li, Qiang Yang, Zhigang Chen, An Liu, Lei Zhao… in World Wide Web (2020)

  8. No Access

    Article

    Enhancing unsupervised domain adaptation by discriminative relevance regularization

    Unsupervised domain adaptation (UDA) serves to transfer specific knowledge from massive labeled source domain data to unlabeled target domain data via mitigating domain shift. In this paper, we propose a discr...

    Wenju Zhang, **ang Zhang, Long Lan, Zhigang Luo in Knowledge and Information Systems (2020)

  9. No Access

    Article

    Learning sequence-to-sequence affinity metric for near-online multi-object tracking

    In this paper, we propose a sequence-to-sequence affinity metric for the data association of near-online multi-object tracking. The proposed metric learns the affinity between track sequence consisting of the ...

    Weijiang Feng, Long Lan, **ang Zhang, Zhigang Luo in Knowledge and Information Systems (2020)

  10. No Access

    Article

    Open-world knowledge graph completion with multiple interaction attention

    Knowledge Graph Completion (KGC) aims at complementing missing relationships between entities in a Knowledge Graph (KG). While closed-world KGC approaches utilizing the knowledge within KG could only complemen...

    Lei Niu, Chenpeng Fu, Qiang Yang, Zhixu Li, Zhigang Chen, Qingsheng Liu… in World Wide Web (2021)

  11. No Access

    Article

    A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification

    In this paper, we propose a generic boosting framework for multiple object tracking (MOT). Unlike other works tracking objects from zero, our framework uses their results (tracklets) and makes further optimiza...

    Tianyi Liang, Long Lan, **ang Zhang, Zhigang Luo in Knowledge and Information Systems (2021)

  12. No Access

    Article

    Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents

    The construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole. The exist...

    Donghui Shi, Zhigang Li, Jozef Zurada, Andrew Manikas… in Knowledge and Information Systems (2024)