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  1. No Access

    Article

    FedSEMA: similarity-aware for representation consistency in federated contrastive learning

    Contrastive learning has emerged as a promising method for addressing the non-independent and identically distributed (non-IID) problem in federated learning. Existing methods make the limited assumption that ...

    Yanbing Zhou, Yingbo Wu, Jiyang Zhou, **n Zheng in Applied Intelligence (2024)

  2. No Access

    Article

    Qoe-guaranteed distributed offloading decision via partially observable deep reinforcement learning for edge-enabled Internet of Things

    In edge-enabled Internet of Things (IoT), Quality of Experience (QoE)-guaranteed offloading decision is to decide which IoT tasks can be offloaded to edge servers with QoE guarantee. Centralized QoE-guaranteed...

    Jiaxin Hou, Yingbo Wu, Junpeng Cai, Zhiwen Zhou in Neural Computing and Applications (2023)

  3. No Access

    Article

    MHCPDP: multi-source heterogeneous cross-project defect prediction via multi-source transfer learning and autoencoder

    Heterogeneous cross-project defect prediction (HCPDP) is aimed at building a defect prediction model for the target project by reusing datasets from source projects, where the source project datasets and targe...

    Jie Wu, Yingbo Wu , Nan Niu, Min Zhou in Software Quality Journal (2021)

  4. No Access

    Chapter and Conference Paper

    STDI-Net: Spatial-Temporal Network with Dynamic Interval Map** for Bike Sharing Demand Prediction

    As an economical and healthy mode of shared transportation, Bike Sharing System (BSS) develops quickly in many big cities. An accurate prediction method can help BSS schedule resources in advance to meet the d...

    Weiguo Pian, Yingbo Wu, Ziyi Kou in From Data to Models and Back (2021)

  5. No Access

    Chapter and Conference Paper

    End-to-End QoS Aggregation and Container Allocation for Complex Microservice Flows

    Microservice is increasingly seen as a rapidly develo** architectural style that uses containerization technology to deploy, update, and scale independently and quickly. A complex microservice flow that is c...

    Min Zhou, Yingbo Wu, Jie Wu in Collaborative Computing: Networking, Appli… (2021)

  6. No Access

    Chapter and Conference Paper

    Multi-D3QN: A Multi-strategy Deep Reinforcement Learning for Service Composition in Cloud Manufacturing

    Service composition is an indispensable technology in the cloud manufacturing process to ensure the smooth execution of tasks. To implement effective and accurate service composition strategies, many researche...

    Jun Zeng, Juan Yao, Yang Yu, Yingbo Wu in Collaborative Computing: Networking, Appli… (2021)

  7. No Access

    Article

    On the competition of two conflicting messages

    There are plenty of conflicting messages in online social networks. This paper addresses the competition of two conflicting messages. Based on a novel individual-level competing spreading model (the generic UA...

    Lu-**ng Yang, Pengdeng Li, **aofan Yang, Yingbo Wu, Yuan Yan Tang in Nonlinear Dynamics (2018)

  8. No Access

    Chapter and Conference Paper

    An Integration Process Model of Enterprise Information System Families Based on System of Systems

    Based on the theory of system of systems (SoS), an integration process model of an enterprise information system family is discussed. The model is stratified into two levels, the top-level sub-processes of SoS...

    Yingbo Wu, Xu Wang, Yun Lin in Advances in Swarm Intelligence (2011)

  9. No Access

    Chapter and Conference Paper

    Selection of Software Reliability Model Based on BP Neural Network

    Software reliability models are used for the estimation and prediction of software reliability. In a situation where reliability data is lacking and numerous models are available, the key to quantitative analy...

    Yingbo Wu, Xu Wang in Advances in Swarm Intelligence (2011)