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  1. No Access

    Chapter and Conference Paper

    D2D-Based Multi-relay-Assisted Computation Offloading in Edge Computing Network

    With the rapid development of edge computing, a large number of compute-intensive tasks are offloaded to the edge server, and computation offloading strategy has become a hot research topic. Because the deploy...

    Xuan Zhao, Song Zhang, Bowen Liu in Collaborative Computing: Networking, Appli… (2021)

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    Chapter and Conference Paper

    Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19

    Modeling and predicting human mobility are of great significance to various application scenarios such as intelligent transportation system, crowd management, and disaster response. In particular, in a severe ...

    Renhe Jiang, Zhaonan Wang, Zekun Cai in Machine Learning and Knowledge Discovery i… (2021)

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    Chapter and Conference Paper

    The Eighth Visual Object Tracking VOT2020 Challenge Results

    The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers publish...

    Matej Kristan, Aleš Leonardis, Jiří Matas in Computer Vision – ECCV 2020 Workshops (2020)

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    Chapter and Conference Paper

    Cross Fusion for Egocentric Interactive Action Recognition

    The characteristics of egocentric interactive videos, which include heavy ego-motion, frequent viewpoint changes and multiple types of activities, hinder the action recognition methods of third-person vision f...

    Haiyu Jiang, Yan Song, Jiang He, **angbo Shu in MultiMedia Modeling (2020)

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    Chapter and Conference Paper

    Capability Assessment of Networking Information-Centric System of Systems: Review and Prospect

    This paper reviews the research progress of capability assessment of the networking information-centric system of systems. The concept, characteristics and capability structure of the networking information-ce...

    Yang Guo, Jiang Cao, Yuan Gao, Yanchang Du, Shaochi Cheng in Space Information Networks (2020)

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    Chapter and Conference Paper

    Federated Acoustic Model Optimization for Automatic Speech Recognition

    Traditional Automatic Speech Recognition (ASR) systems are usually trained with speech records centralized on the ASR vendor’s machines. However, with data regulations such as General Data Protection Regulatio...

    Conghui Tan, Di Jiang, Huaxiao Mo in Database Systems for Advanced Applications (2020)

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    Chapter and Conference Paper

    Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

    Deep encoder-decoder based CNNs have advanced image inpainting methods for hole filling. While existing methods recover structures and textures step-by-step in the hole regions, they typically use two encoder-...

    Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang in Computer Vision – ECCV 2020 (2020)

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    Chapter and Conference Paper

    An Interpretable Recommendations Approach Based on User Preferences and Knowledge Graph

    In recent years, how to accurately recommend and solve the opacity of the recommendation system has received more and more attention. Some researchers introduced some auxiliary information into the recommendat...

    Yanru Zhong, **ulai Song, Bing Yang, Chaohao Jiang in Advances in Swarm Intelligence (2019)

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    Chapter and Conference Paper

    Analysis on the Block Reward of Fork After Withholding (FAW)

    The irreversible trend in clustering of mining power raises severe concerns on stability and security of PoW based on cryptocurrency. It has been shown that, in some case, reward of a mining pool can be signif...

    Junming Ke, Han Jiang, **angfu Song, Shengnan Zhao, Hao Wang in Network and System Security (2018)

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    Chapter and Conference Paper

    Epileptic Seizure Detection Using EEGs Based on Kernel Radius of Intrinsic Mode Functions

    The study of automated epileptic seizure detection using EEGs has attracted more and more researchers in these decades. How to extract appropriate features in EEGs, which can be applied to differentiate non-se...

    Qiang Li, Meina Ye, Jiang-Ling Song, Rui Zhang in Health Information Science (2017)

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    Chapter and Conference Paper

    On Optimizing Partitioning Strategies for Faster Inverted Index Compression

    Inverted index is a key component for search engine to manage billions of documents and fast respond to users’ queries. While substantial effort has been made to compromise space occupancy and decoding speed, ...

    **ngshen Song, Kun Jiang, Yu Jiang in Computational Science and Its Applications… (2016)

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    Chapter and Conference Paper

    A Parallel Multiple K-Means Clustering and Application on Detect Near Native Model

    Protein structure clustering is an important and essential step in protein 3D structure prediction. However, two issues limited current methods. But the large-scale candidate models in the decoy and undisting...

    Hongjie Wu, Chuang Wu, Chen cheng in Intelligent Computing Theories and Applica… (2016)

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    Chapter and Conference Paper

    A New Two-Dimension Model of Evaluating the Quality of Distance Education

    This paper established and designed evaluation index system based on “Information Technology application fields—service quality promotion” two dimensions model. The Information Technology application fields in...

    Jiang-Chun Song, Yan Wang in Knowledge Engineering and Management (2014)

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    Chapter and Conference Paper

    Faster MaxScore Document Retrieval with Aggressive Processing

    Large search engines process thousands of queries per second over billions of documents, making a huge performance gap between disjunctive and conjunctive queries. An important class of optimization techniques...

    Kun Jiang, **ngshen Song, Yuexiang Yang in Web-Age Information Management (2014)

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    Chapter and Conference Paper

    Collaborative Friendship Networks in Online Healthcare Communities: An Exponential Random Graph Model Analysis

    Health 2.0 provides patients an unprecedented way to connect with each other online. However, less attention has been paid to how patient collaborative friendships form in online healthcare communities. This s...

    **aolong Song, Shan Jiang, **anbin Yan, Hsinchun Chen in Smart Health (2014)

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    Chapter and Conference Paper

    Reducing the Subjectivity of Gene Expression Data Clustering Based on Spatial Contiguity Analysis

    Clustering, which has been widely used as a forecasting tool for gene expression data, remains problematic at a very deep level: different initial points of clustering lead to different processes of convergenc...

    Hui Yi, **aofeng Song, Bin Jiang, Yufang Liu in Database Theory and Application, Bio-Scien… (2011)

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    Chapter and Conference Paper

    Feature Selection Algorithm Based on Least Squares Support Vector Machine and Particle Swarm Optimization

    A hybrid feature selection algorithm based on least squares support vector machine (LSSVM) and discrete particle swarm optimization is proposed in this paper. The proposed algorithm takes advantage of the easy...

    Song Chuyi, Jiang **gqing, Wu Chunguo, Liang Yanchun in Advances in Swarm Intelligence (2011)

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    Chapter and Conference Paper

    Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data

    In everyday life, people spend most of their time in some routine places such as the living places(origin) and working places(destination). We define these locations as anchor points. The anchor point informat...

    Wenhao Huang, Zhengbin Dong, Nan Zhao, Hao Tian in Advanced Data Mining and Applications (2010)

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    Chapter and Conference Paper

    Optimizing Collaborative Filtering by Interpolating the Individual and Group Behaviors

    Collaborative filtering has been very successful in both research and E-commence applications. One of the most popular collaborative filtering algorithms is the k-Nearest Neighbor (KNN) method, which finds k near...

    Xue-Mei Jiang, Wen-Guan Song, Wei-Guo Feng in Frontiers of WWW Research and Development … (2006)

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    Chapter and Conference Paper

    Fast Parallel FFT on CTaiJi: A Coarse-Grained Reconfigurable Computation Platform

    Traditional microprocessors are today getting more and more inefficient for a growing range of applications that are mainly about processing data-stream. These applications have two character characteristics: ...

    LiGuo Song, Yu**an Jiang in Parallel and Distributed Processing and Applications (2005)

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