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Collaborative Computing: Networking, Applications and Worksharing

19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Honghao Gao

    1. Shanghai University, Shanghai, China

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  2. Xinheng Wang

    1. Xi’an Jiaotong-Liverpool, Suzhou, China

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  3. Nikolaos Voros

    1. University of Peloponnese, Patra, Greece

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Included in the following conference series:

Conference proceedings info: CollaborateCom 2023.

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About this book

The three-volume set LNICST 561, 562  563 constitutes the refereed post-conference proceedings of the 19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023, held in Corfu Island, Greece, during October 4-6, 2023.



The 72 full papers presented in these proceedings were carefully reviewed and selected from 176 submissions. The papers are organized in the following topical sections:



Volume I : Collaborative Computing, Edge Computing & Collaborative working, Blockchain applications, Code Search and Completion, Edge Computing Scheduling and Offloading.


Volume II: Deep Learning and Application, Graph Computing, Security and Privacy Protection and Processing and Recognition.


Volume III: Onsite Session Day2, Federated learning and application, Collaborative working, Edge Computing and Prediction, Optimization and Applications.



Keywords

Table of contents (28 papers)

  1. Front Matter

    Pages i-xiv
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  2. Deep Learning and Applications

    1. Front Matter

      Pages 1-1
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    2. Task Offloading in UAV-to-Cell MEC Networks: Cell Clustering and Path Planning

      • Mingchu Li, Wanying Qi, Shuai Li
      Pages 3-19

    3. LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection

      • Shuwei Qian, Ming Guo, Zhicheng Fan, Mingcai Chen, Chongjun Wang
      Pages 20-38

    4. MSAM: Deep Semantic Interaction Network for Visual Question Answering

      • Fan Wang, Bin Wang, Fuyong Xu, Jiaxin Li, Peiyu Liu
      Pages 39-56

    5. Defeating the Non-stationary Opponent Using Deep Reinforcement Learning and Opponent Modeling

      • Qian Yao, Xinli Xiong, Peng Wang, Yongjie Wang
      Pages 57-78

    6. A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Caching

      • Han Zhao, Shiyun Shao, Yong Ma, Yunni Xia, Jiajun Su, Lingmeng Liu et al.
      Pages 79-95

    7. D-AE: A Discriminant Encode-Decode Nets for Data Generation

      • Gongju Wang, Yulun Song, Yang Li, Mingjian Ni, Long Yan, Bowen Hu et al.
      Pages 96-114

    8. ECCRG: A Emotion- and Content-Controllable Response Generation Model

      • Hui Chen, Bo Wang, Ke Yang, Yi Song
      Pages 115-130

    9. Origin-Destination Convolution Recurrent Network: A Novel OD Matrix Prediction Framework

      • Jiayu Chang, Tian Liang, Wanzhi Xiao, Li Kuang
      Pages 131-150

    10. MD-TransUNet: TransUNet with Multi-attention and Dilated Convolution for Brain Stroke Lesion Segmentation

      • Jie Xu, Jian Wan, Xin Zhang
      Pages 151-170

  3. Graph Computing

    1. Front Matter

      Pages 171-171
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    2. DGFormer: An Effective Dynamic Graph Transformer Based Anomaly Detection Model for IoT Time Series

      • Hongxia He, Xi Li, Peng Chen, Juan Chen, Weijian Song, Qinghui Xi
      Pages 173-188

    3. STAPointGNN: Spatial-Temporal Attention Graph Neural Network for Gesture Recognition Using Millimeter-Wave Radar

      • Jun Zhang, Chunyu Wang, Shunli Wang, Lihua Zhang
      Pages 189-204

    4. NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems

      • Baoke Li, Cong Cao, Fangfang Yuan, Yuling Yang, Majing Su, Yanbing Liu et al.
      Pages 205-222

    5. tHR-Net: A Hybrid Reasoning Framework for Temporal Knowledge Graph

      • Yijing Zhao, Yumeng Liu, Zihang Wan, Hongan Wang
      Pages 223-241

    6. Improving Code Representation Learning via Multi-view Contrastive Graph Pooling for Abstract Syntax Tree

      • Ruoting Wu, Yuxin Zhang, Liang Chen
      Pages 242-261

  4. Security and Privacy Protection

    1. Front Matter

      Pages 263-263
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    2. Protect Applications and Data in Use in IoT Environment Using Collaborative Computing

      • Xincai Peng, Li Shan Cang, Shuai Zhang, Muddesar Iqbal
      Pages 265-280

    3. Robustness-Enhanced Assertion Generation Method Based on Code Mutation and Attack Defense

      • Min Li, Shizhan Chen, Guodong Fan, Lu Zhang, Hongyue Wu, Xiao Xue et al.
      Pages 281-300
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Other volumes

  1. Collaborative Computing: Networking, Applications and Worksharing

  2. Collaborative Computing: Networking, Applications and Worksharing

  3. Collaborative Computing: Networking, Applications and Worksharing

Editors and Affiliations

  • Shanghai University, Shanghai, China

    Honghao Gao

  • Xi’an Jiaotong-Liverpool, Suzhou, China

    Xinheng Wang

  • University of Peloponnese, Patra, Greece

    Nikolaos Voros

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