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  1. No Access

    Chapter and Conference Paper

    Role-Guided Contrastive Learning for Event Argument Extraction

    Event argument extraction is a subtask of information extraction. Recent efforts have predominantly focused on mitigating the issue of error propagation associated with pipeline methods for extracting event ar...

    Chunyu Yao, Yi Guo, Xue Chen, Zhenzhen Duan in Advances in Information Retrieval (2024)

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    Chapter and Conference Paper

    Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning

    Recent studies have shown that subgraphs of the head entity, such as related relations and neighborhoods, are helpful for Knowledge Graph Reasoning (KGR). However, prior studies tend to focus solely on enhanci...

    Huanxuan Liao, Shizhu He, Yao Xu, Kang Liu in Knowledge Graph and Semantic Computing: Kn… (2023)

  3. No Access

    Chapter and Conference Paper

    Decompilation Based Deep Binary-Source Function Matching

    Binary and source matching is vital for vulnerability detection or program comprehension. Most existing works focus on library matching (coarse-grained) by utilizing some simple features. However, they are so ...

    **aowei Wang, Zimu Yuan, Yang **ao, Liyan Wang, Yican Yao in Science of Cyber Security (2023)

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    Chapter and Conference Paper

    Adaptively Secure Constrained Verifiable Random Function

    Constrained Verifiable Random Function (CVRF) is a powerful variant of Pseudorandom Function (PRF). Simply put, CVRF asks the outputs of PRF to be verifiable and the secret key of PRF to be delegatable, thus simu...

    Yao Zan, Hongda Li, Haixia Xu in Science of Cyber Security (2023)

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    Chapter and Conference Paper

    Intention-Aware Neural Networks for Question Paraphrase Identification

    We tackle Question Paraphrasing Identification (QPI), a task of determining whether a pair of interrogative sentences (i.e., questions) are paraphrases of each other, which is widely applied in information ret...

    Zhiling **, Yu Hong, Rui Peng, Jianmin Yao in Advances in Information Retrieval (2023)

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    Chapter and Conference Paper

    Bi-granularity Adversarial Training for Non-factoid Answer Retrieval

    Answer Retrieval is a task of automatically retrieving relevant answers towards a specific question. The recent studies, in this field, have witnessed the vast success of non-factoid QA methods which leverage ...

    Zhiling **, Yu Hong, Hongyu Zhu, Jianmin Yao in Advances in Information Retrieval (2022)

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    Chapter and Conference Paper

    Lane Marking Detection Algorithm Based on High-Precision Map

    In case of sharp road illumination changes, bad weather such as rain, snow or fog, wear or missing of the lane marking, the reflective water stain on the road surface, the shadow obstruction of the tree, and m...

    Haichang Yao, Chen Chen, Shangdong Liu, Kui Li, Yimu Ji, Ruchuan Wang in Data Science (2020)

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    Chapter and Conference Paper

    Data Exchange Engine for Parallel Computing and Its Application to 3D Chromosome Modelling

    Data Exchange Engine for Parallel Computing (abbreviated as DEEPC) is a universal parallel programming interface for scientific computing environments such as MATLAB, Octave, R and Python. It is a software de...

    **aoling Zhang, Yao Lu, Junfeng Wu, Yongrui Zhang in Data Science (2020)

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    Chapter and Conference Paper

    DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks

    Graphs have become widely adopted as a means of representing relationships between entities in many applications. These graphs often evolve over time. Learning effective representations preserving graph topolo...

    Yun **ong, Yao Zhang, Hanjie Fu, Wei Wang in Database Systems for Advanced Applications (2019)

  10. No Access

    Chapter and Conference Paper

    Music Playlist Recommendation with Long Short-Term Memory

    Music playlist recommendation is an important component in modern music streaming services, which is used for improving user experience by regularly pushing personalized music playlists based on users’ prefere...

    Hui** Yang, Yan Zhao, **fu **a, Bin Yao in Database Systems for Advanced Applications (2019)

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    Chapter

    A Data Services Composition Approach for Continuous Query on Social Media Streams

    We witness a rapid increase in the number of social media streams due to development of Web2.0, IoT and Cloud Computing technology. These sources include both traditional relational databases and streaming dat...

    Guiling Wang, **aojiang Zuo, Marc Hesenius in Transactions on Large-Scale Data- and Know… (2019)

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    Chapter and Conference Paper

    Using Entity Relation to Improve Event Detection via Attention Mechanism

    Identifying event instance in texts plays a critical role in the field of Information Extraction (IE). The currently proposed methods that employ neural networks have successfully solve the problem to some ext...

    **gli Zhang, Wenxuan Zhou, Yu Hong in Natural Language Processing and Chinese Co… (2018)

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    Chapter and Conference Paper

    \(R^2\) -Tree: An Efficient Indexing Scheme for Server-Centric Data Center Networks

    Index plays a very important role in cloud storage systems, which can support efficient querying tasks for data-intensive applications. However, most of existing indexing schemes for data centers focus on one ...

    Yin Lin, **nyi Chen, **aofeng Gao, Bin Yao in Database and Expert Systems Applications (2018)

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    Chapter and Conference Paper

    Community Structure Based Shortest Path Finding for Social Networks

    With the rapid expansion of communication data, research about analyzing social networks has become a hotspot. Finding the shortest path (SP) in social networks can help us to investigate the potential social ...

    Yale Chai, Chunyao Song, Peng Nie, **aojie Yuan in Database and Expert Systems Applications (2018)

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    Chapter and Conference Paper

    QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query

    With the popularity of mobile devices and the development of geo-positioning technology, location-based services (LBS) attract much attention and top-k spatial keyword queries become increasingly complex.It is co...

    **nshi Zang, Peiwen Hao, **aofeng Gao, Bin Yao in Database and Expert Systems Applications (2018)

  16. No Access

    Chapter and Conference Paper

    Exploiting Geographical Location for Team Formation in Social Coding Sites

    Social coding sites (SCSs) such as GitHub and BitBucket are collaborative platforms where developers from different background (e.g., culture, language, location, skills) form a team to contribute to a shared ...

    Yuqiang Han, Yao Wan, Liang Chen in Advances in Knowledge Discovery and Data M… (2017)

  17. No Access

    Chapter and Conference Paper

    PURE: A Novel Tripartite Model for Review Sentiment Analysis and Recommendation

    Nowadays, more and more users like to leave online reviews. These reviews, which are based on their experiences on a set of service or products, often express different opinions and sentiments. Correlated topi...

    Yue Xue, Liutong Xu, Hai Huang in Advances in Knowledge Discovery and Data Mining (2017)

  18. No Access

    Chapter and Conference Paper

    Quantitative Analysis of Learning Data in a Programming Course

    Online learning platform, which has taken higher education by storm, provides an opportunity to track students’ learning behaviors. The vast majority of educational data mining research has been carried out ba...

    Yu Bai, Liqian Chen, Gang Yin, **njun Mao in Database Systems for Advanced Applications (2017)

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    Chapter and Conference Paper

    Boost Clickbait Detection Based on User Behavior Analysis

    Article in the web is usually titled with a misleading title to attract the users click for gaining click-through rate (CTR). A clickbait title may increase click-through rate, but decrease user experience. Th...

    Hai-Tao Zheng, **n Yao, Yong Jiang, Shu-Tao **a, ** **ao in Web and Big Data (2017)

  20. No Access

    Chapter and Conference Paper

    Using Pull-Based Collaborative Development Model in Software Engineering Courses: A Case Study

    The pull-based development model is an emerging way of contributing to distributed software projects within the Open Source Software (OSS) communities. To train students’ development skills with this modern pa...

    Yao Lu, **njun Mao, Gang Yin, Tao Wang in Database Systems for Advanced Applications (2017)

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