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    MGMFN: Multi-graph and MLP-mixer fusion network for Chinese social network sentiment classification

    Sentiment analysis (SA) in social networks plays a vital role in the current information industry era. It has a broad application basis and crucial practical significance for research in public opinion analysi...

    Yan Kang, Xuekun Yang, Lan Zhang, Xuan Luo, Yulong Xu in Multimedia Tools and Applications (2024)

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    A hybrid style transfer with whale optimization algorithm model for textual adversarial attack

    Deep learning has been widely used in various research fields. However, researchers have discovered that deep learning models are vulnerable to adversarial attacks. Existing word-level attacks can be seen as a...

    Yan Kang, Jianjun Zhao, Xuekun Yang, Baochen Fan in Neural Computing and Applications (2024)

  3. Article

    Correction to: TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems

    Yan Kang, Haining Wang, Bin Pu, Jiansong Liu in Neural Computing and Applications (2023)

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    TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems

    The discounted {0-1} knapsack problem (DKP) is an NP-hard problem that is more challenging than the classical knapsack problem. In this paper, an enhanced version of the sine-cosine algorithm (SCA) called TMHS...

    Yan Kang, Haining Wang, Bin Pu, Jiansong Liu in Neural Computing and Applications (2023)

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    STGHTN: Spatial-temporal gated hybrid transformer network for traffic flow forecasting

    Accurate traffic forecasting is a critical function of intelligent transportation systems, which remains challenging due to the complex spatial and temporal dependence of traffic data. GNN-based traffic foreca...

    Jiansong Liu, Yan Kang, Hao Li, Haining Wang, Xuekun Yang in Applied Intelligence (2023)

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    HWOA: an intelligent hybrid whale optimization algorithm for multi-objective task selection strategy in edge cloud computing system

    Edge computing is a popular computing modality that works by placing computing resources as close as possible to the sensor data to relieve the burden of network bandwidth and data centers in cloud computing. ...

    Yan Kang, Xuekun Yang, Bin Pu, **aokang Wang, Haining Wang, Yulong Xu in World Wide Web (2022)