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  1. No Access

    Chapter and Conference Paper

    InDNI: An Infection Time Independent Method for Diffusion Network Inference

    Diffusion network inference aims to reveal the message propagation process among users and has attracted many research interests due to the fundamental role it plays in some real applications, such as rumor-sp...

    Guoxin Chen, Yongqing Wang, Jiangli Shao, Boshen Shi, Huawei Shen in Information Retrieval (2023)

  2. No Access

    Chapter and Conference Paper

    Anti-Clone: A Lightweight Approach for RFID Cloning Attacks Detection

    Millions of radio frequency identification (RFID) tags are pervasively used all around the globe to identify a wide variety of objects inexpensively. However, the tag cannot use energy-hungry cryptography due ...

    Yue Feng, Weiqing Huang, Siye Wang in Collaborative Computing: Networking, Appli… (2022)

  3. No Access

    Chapter and Conference Paper

    ITAR: A Method for Indoor RFID Trajectory Automatic Recovery

    With the increasing popularity of Radio Frequency Identification (RFID) technology, indoor applications based on RFID trajectory data analysis are becoming more and more extensive, such as personnel location, ...

    Ziwen Cao, Siye Wang, Degang Sun in Collaborative Computing: Networking, Appli… (2022)

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    Chapter and Conference Paper

    VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network

    Virtual Private Network (VPN) technology is now widely used in various scenarios such as telecommuting. The importance of VPN traffic identification for network security and management has increased significan...

    Hongbo Xu, Shuhao Li, Zhenyu Cheng, Rui Qin in Collaborative Computing: Networking, Appli… (2022)

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    Chapter and Conference Paper

    Fine-Grained Head Pose Estimation Based on a 6D Rotation Representation with Multiregression Loss

    Estimating the head pose is vital in action evaluation since it has extensive applications such as in automobile driver-assistance systems, performance evaluations of athletes and customers’ attention in retai...

    ** Chen, Huahu Xu, Minjie Bian in Collaborative Computing: Networking, Appli… (2022)

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    Chapter and Conference Paper

    Landmark Detection Based on Human Activity Recognition for Automatic Floor Plan Construction

    Landmark detection technology has a wide range of applications in people's lives, including map correcting, localization and navigation, etc. Besides, landmarks are also utilized to label different areas for a...

    Zhao Huang, Stefan Poslad, Qingquan Li in Collaborative Computing: Networking, Appli… (2022)

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    Chapter and Conference Paper

    User Incentive Based Bike-Sharing Dispatching Strategy

    As a green and low-carbon transportation way, bike-sharing provides a lot of convenience in the daily traveling. However, after a period of usage, the distribution of shared bikes may not meet the traveling re...

    Bing Shi, Zhaoxiang Song, **zi Huang in Advances in Knowledge Discovery and Data M… (2022)

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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

    The Differential Gene Detecting Method for Identifying Leukemia Patients

    Leukemia is one of the cancers threatening human being for many years. There has not been any general method for identifying acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) accurately. This...

    Mingzhao Wang, Weiliang Jiang, Juanying **e in Advances and Trends in Artificial Intellig… (2022)

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    Chapter and Conference Paper

    A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism

    Protein interface prediction is fundamental to understand the hidden principles of many living activities. Although many approaches to the task of protein interface prediction have been proposed, most of exist...

    Haifang Wu, Shujie Luo, Weizhong Zhao in Advances in Knowledge Discovery and Data M… (2022)

  11. No Access

    Chapter and Conference Paper

    Towards Nested and Fine-Grained Open Information Extraction

    Open Information Extraction is a crucial task in natural language processing with wide applications. Existing efforts only work on extracting simple flat triplets that are not minimized, which neglect triplets...

    Jiawei Wang, **n Zheng, Qiang Yang in Knowledge Graph and Semantic Computing: Kn… (2021)

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    Chapter and Conference Paper

    Location Differential Privacy Protection in Task Allocation for Mobile Crowdsensing Over Road Networks

    Mobile Crowdsensing (MCS) platforms often require workers to provide their locations for task allocation, which may cause privacy leakage

    Mohan Fang, Juan Yu, Jianmin Han, **n Yao in Collaborative Computing: Networking, Appli… (2021)

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    Chapter and Conference Paper

    Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing

    The dependency tree of a natural language sentence can capture the interactions between semantics and words. However, it is unclear whether those methods which exploit such dependency information for semantic ...

    Defeng **e, Jianmin Ji, Jiafei Xu, Ran Ji in PRICAI 2021: Trends in Artificial Intelligence (2021)

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    Chapter and Conference Paper

    MFF-AMD: Multivariate Feature Fusion for Android Malware Detection

    Researchers have turned their focus on leveraging either dynamic or static features extracted from applications to train AI algorithms to identify malware precisely. However, the adversarial techniques have be...

    Guangquan Xu, Meiqi Feng, Litao Jiao in Collaborative Computing: Networking, Appli… (2021)

  15. No Access

    Chapter and Conference Paper

    Weibo-MEL, Wikidata-MEL and Richpedia-MEL: Multimodal Entity Linking Benchmark Datasets

    Multimodal entity linking (MEL) aims to utilize multimodal information to map mentions to corresponding entities defined in knowledge bases. In this paper, we release three MEL datasets: Weibo-MEL, Wikidata-ME...

    **ngchen Zhou, Peng Wang, Guozheng Li in Knowledge Graph and Semantic Computing: Kn… (2021)

  16. No Access

    Chapter and Conference Paper

    T-UNet: A Novel TC-Based Point Cloud Super-Resolution Model for Mechanical LiDAR

    Mechanical LiDAR is one of the most crucial perception sensors for autonomous vehicles. However, the vertical angular resolution of low-cost multi-beam LiDAR is small, limiting the perception and movement rang...

    Lu Ren, Deyi Li, Zhenchao Ouyang in Collaborative Computing: Networking, Appli… (2021)

  17. No Access

    Chapter and Conference Paper

    MR-FI: Mobile Application Recommendation Based on Feature Importance and Bilinear Feature Interaction

    With the rapid growth of mobile applications in major mobile app stores, it is challenging for users to choose their desired mobile applications. Therefore, it is necessary to provide a high-quality mobile app...

    Mi Peng, Buqing Cao, Junjie Chen in Collaborative Computing: Networking, Appli… (2021)

  18. No Access

    Chapter and Conference Paper

    TGKG: New Data Graph Based on Game Ontology

    With the advent of the big data era, knowledge graph embodies great advantages. Especially in game domain, building a knowledge graph is of great value. However, some open-domain knowledge bases is not designe...

    Jianshun Sang, Wenqiang Liu, Bei Wu, Hao Guo in Knowledge Graph and Semantic Computing: Kn… (2021)

  19. No Access

    Chapter and Conference Paper

    LoCo-VAE: Modeling Short-Term Preference as Joint Effect of Long-Term Preference and Context-Aware Impact in Recommendation

    User preference modeling is an essential task for online recommender systems. Recently, methods have been applied to model short-term user preferences within a short-term period. These approaches use recent us...

    Jian** Liu, Bo Wang, Ruifang He, Bin Wu in PRICAI 2021: Trends in Artificial Intellig… (2021)

  20. No Access

    Chapter and Conference Paper

    A Stepwise Path Selection Scheme Based on Multiple QoS Parameters Evaluation in SDN

    Nowadays, the best-effort service can not guarantee the quality of service (QoS) for all kinds of services. QoS routing is an important method to guarantee QoS requirements. It involves path selection for flow...

    Lin Liu, Jian-Tao Zhou, Hai-Feng **ng in Collaborative Computing: Networking, Appli… (2021)

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