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Collaborative Computing: Networking, Applications and Worksharing

17th EAI International Conference, CollaborateCom 2021, Virtual Event, October 16-18, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Honghao Gao

    1. Shanghai University, Shanghai, China

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  2. Xinheng Wang

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

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Conference proceedings info: CollaborateCom 2021.

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About this book

This two-volume set constitutes the refereed proceedings of the 17th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually.

The 62 full papers and 7 short papers presented were carefully reviewed and selected from 206 submissions. The papers reflect the conference sessions as follows: Optimization for Collaborate System; Optimization based on Collaborative Computing; UVA and Traffic system; Recommendation System; Recommendation System & Network and Security; Network and Security; Network and Security & IoT and Social Networks; IoT and Social Networks & Images handling and human recognition; Images handling and human recognition & Edge Computing; Edge Computing; Edge Computing & Collaborative working; Collaborative working & Deep Learning and application; Deep Learning and application; Deep Learning and application; Deep Learning and application & UVA.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xix
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  2. Optimization for Collaborate System (Workshop Papers)

    1. Front Matter

      Pages 1-1
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    2. Chinese Named Entity Recognition Based on Dynamically Adjusting Feature Weights

      • Qing Lv, Limin Zheng, Miao Wang
      Pages 3-19

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

      • Mohan Fang, Juan Yu, Jianmin Han, Xin Yao, Hao Peng, Jianfeng Lu et al.
      Pages 20-37

    4. “Failure” Service Pattern Mining for Exploratory Service Composition

      • Yunjing Yuan, Jing Wang, Yanbo Han, Qianwen Li, Gaojian Chen, Boyang Jiao
      Pages 38-53

    5. Optimal Control and Reinforcement Learning for Robot: A Survey

      • Haodong Feng, Lei Yu, Yuqing Chen
      Pages 54-66

    6. KTOBS: An Approach of Bayesian Network Learning Based on K-tree Optimizing Ordering-Based Search

      • Qingwang Zhang, Sihang Liu, Ruihong Xu, Zemeng Yang, Jianxiao Liu
      Pages 67-82

    7. Recommendation Model Based on Social Homogeneity Factor and Social Influence Factor

      • Weizhi Ying, Qing Yu, Zuohua Wang
      Pages 83-98

    8. Attention Based Spatial-Temporal Graph Convolutional Networks for RSU Communication Load Forecasting

      • Hang Zheng, Xu Ding, Yang Wang, Chong Zhao
      Pages 99-114

  3. UVA and Traffic System

    1. Front Matter

      Pages 115-115
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    2. Mobile Encrypted Traffic Classification Based on Message Type Inference

      • Yige Chen, Tianning Zang, Yongzheng Zhang, Yuan Zhou, Peng Yang
      Pages 117-137

    3. Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction

      • Shiqi Wang, Min Gao, Zongwei Wang, Jia Wang, Fan Wu, Junhao Wen
      Pages 138-155

    4. Underwater Information Sensing Method Based on Improved Dual-Coupled Duffing Oscillator Under Lévy Noise Description

      • Hanwen Zhang, Zhen Qin, Dajiang Chen
      Pages 156-170

    5. Unpaired Learning of Roadway-Level Traffic Paths from Trajectories

      • Weixing Jia, Guiling Wang, Xuankai Yang, Fengquan Zhang
      Pages 171-190

    6. Multi-UAV Cooperative Exploring for the Unknown Indoor Environment Based on Dynamic Target Tracking

      • Ning Li, Jiefu Tan, Yunlong Wu, Jiachi Xu, Huan Wang, Wendi Wu
      Pages 191-209

  4. Recommendation System

    1. Front Matter

      Pages 211-211
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    2. MR-FI: Mobile Application Recommendation Based on Feature Importance and Bilinear Feature Interaction

      • Mi Peng, Buqing Cao, Junjie Chen, Jianxun Liu, Rong Hu
      Pages 213-228

    3. The Missing POI Completion Based on Bidirectional Masked Trajectory Model

      • Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou
      Pages 229-243

    4. Dual-Channel Graph Contextual Self-Attention Network for Session-Based Recommendation

      • Teng Huang, Huiqun Yu, Guisheng Fan
      Pages 244-258

    5. Context-aware Graph Collaborative Recommendation Without Feature Entanglement

      • Tianyi Gu, Ping Li, Kaiwen Huang
      Pages 259-276
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Other volumes

  1. Collaborative Computing: Networking, Applications and Worksharing

  2. Collaborative Computing: Networking, Applications and Worksharing

Editors and Affiliations

  • Shanghai University, Shanghai, China

    Honghao Gao

  • Xi’an Jiaotong-Liverpool University, Suzhou, China

    Xinheng Wang

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