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Web and Big Data

7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part III

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Xiangyu Song

    1. Peng Cheng Laboratory, Shenzhen, China

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  2. Ruyi Feng

    1. China University of Geosciences, Wuhan, China

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  3. Yunliang Chen

    1. China University of Geosciences, Wuhan, China

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  4. Jianxin Li

    1. Deakin University, Burwood, Australia

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  5. Geyong Min

    1. University of Exeter, Exeter, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14333)

Included in the following conference series:

Conference proceedings info: APWeb-WAIM 2023.

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About this book

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023.

The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data.

Keywords

Table of contents (34 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Adaptive Graph Attention Hashing for Unsupervised Cross-Modal Retrieval via Multimodal Transformers

    • Yewen Li, Mingyuan Ge, Yucheng Ji, Mingyong Li
    Pages 1-15

  3. Answering Property Path Queries over Federated RDF Systems

    • Ningchao Ge, Peng Peng, Jibing Wu, Lihua Liu, Haiwen Chen, Tengyun Wang
    Pages 16-31

  4. Distributed Knowledge Graph Query Acceleration Algorithm

    • Peifan Shi, Youhuan Li, Wenjie Li, Xinhuan Chen
    Pages 32-47

  5. Truth Discovery of Source Dependency Perception in Dynamic Scenarios

    • Xiu Fang, Chenling Shen, Guohao Sun, Hao Chen, Yating Tang
    Pages 48-63

  6. Truth Discovery Against Disguised Attack Mechanism in Crowdsourcing

    • Xiu Fang, Yating Tang, Guohao Sun, Chenling Shen, Hao Chen
    Pages 64-79

  7. Continuous Group Nearest Group Search over Streaming Data

    • Rui Zhu, Chunhong Li, Anzhen Zhang, Chuanyu Zong, Xiufeng Xia
    Pages 80-95

  8. Approximate Continuous Skyline Queries over Memory Limitation-Based Streaming Data

    • Yunzhe An, Zhu Zhen, Rui Zhu, Tao Qiu, Xiufeng Xia
    Pages 96-110

  9. Identifying Backdoor Attacks in Federated Learning via Anomaly Detection

    • Yuxi Mi, Yiheng Sun, Jihong Guan, Shuigeng Zhou
    Pages 111-126

  10. PaTraS: A Path-Preserving Trajectory Simplification Method for Low-Loss Map Matching

    • Ruoyu Leng, Chunhui Feng, Chenxi Hao, Pingfu Chao, Junhua Fang
    Pages 127-144

  11. Coordinate Descent for k-Means with Differential Privacy

    • Yuchen Xie, Yi-Jun Yang, Wei Zeng
    Pages 145-158

  12. DADR: A Denoising Approach for Dense Retrieval Model Training

    • Mengxue Du, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Miaomiao Li et al.
    Pages 159-173

  13. Multi-pair Contrastive Learning Based on Same-Timestamp Data Augmentation for Sequential Recommendation

    • Shun Zheng, Shaoqing Wang, Lijie Zhang, Yao Zhang, Fuzhen Sun
    Pages 174-187

  14. Enhancing Collaborative Features with Knowledge Graph for Recommendation

    • Lingang Zhu, Yi Zhang, Gang Li
    Pages 188-203

  15. PageCNNs: Convolutional Neural Networks for Multi-label Chinese Webpage Classification with Multi-information Fusion

    • Jiawei Zheng, Junying Chen, Yi Cai
    Pages 204-219

  16. MFF-Trans: Multi-level Feature Fusion Transformer for Fine-Grained Visual Classification

    • Qi Hang, Xuefeng Yan, Lina Gong
    Pages 220-234

  17. Summarizing Doctor’s Diagnoses and Suggestions from Medical Dialogues

    • Tianbao Zhang, Yuan Cui, Zhenfei Yang, Shi Feng, Daling Wang
    Pages 235-249

  18. HSA: Hyperbolic Self-attention for Sequential Recommendation

    • Peizhong Hou, Haiyang Wang, Tianming Li, Junchi Yan
    Pages 250-264

  19. CFGCon: A Scheme for Accurately Generating Control Flow Graphs of Smart Contracts

    • Nengyu Xia, Yixin Zhang, Wei Ren, Xianyi Chen
    Pages 265-279

  20. Hypergraph-Enhanced Self-supervised Heterogeneous Graph Representation Learning

    • Yuanhao Zhang, Chengxin He, Longhai Li, Bingzhe Zhang, Lei Duan, Jie Zuo
    Pages 280-295
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Other volumes

  1. Web and Big Data

  2. Web and Big Data

  3. Web and Big Data

  4. Web and Big Data. APWeb-WAIM 2023 International Workshops

Editors and Affiliations

  • Peng Cheng Laboratory, Shenzhen, China

    Xiangyu Song

  • China University of Geosciences, Wuhan, China

    Ruyi Feng, Yunliang Chen

  • Deakin University, Burwood, Australia

    Jianxin Li

  • University of Exeter, Exeter, UK

    Geyong Min

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