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Advanced Intelligent Computing Technology and Applications

20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2024

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Editors:
  1. De-Shuang Huang

    1. Eastern Institute of Technology, Ningbo, China

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  2. Xiankun Zhang

    1. Tianjin University of Science and Technology, Tianjin, China

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  3. Qinhu Zhang

    1. Eastern Institute of Technology, Ningbo, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14875)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICIC 2024.

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About this book

This 6-volume set LNAI 14875-14880 constitutes - in conjunction with the 13-volume set LNCS 14862-14874 and the 2-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024.

The total of 863 regular papers were carefully reviewed and selected from 2189 submissions.

The intelligent computing annual conference primarily aims to promote research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them.

The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc.

 

Keywords

Table of contents (41 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Machine Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Dynamic Collaborative Recommendation Method Based on Multimodal Fusion

      • Shuo Wang, Yue Yang, Jing Yang, Jiaqi Liu
      Pages 3-14

    3. Image Classification Using Graph Regularized Independent Constraint Low-Rank Representation

      • Linfeng Pan, Bo Li
      Pages 15-24

    4. Identifying the Fraudulent Users for E-commerce Applications Based on the Access Behaviors

      • Rujia Chen, Yi Xie
      Pages 25-36

    5. LIFT: Discriminant Classification Approach of Malware Family on Time Consistent Open Set

      • Yuxia Sun, Siyi Pan, Yang Yang, Ziying Huo, Yuqin Hong
      Pages 37-49

    6. Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL

      • Ning Cheng, Zhaohui Yan, Ziming Wang, Zhijie Li, Jiaming Yu, Zilong Zheng et al.
      Pages 50-61

    7. Cache Side-Channel Attacks Detection for AES Encryption Based on Machine Learning

      • Zhongkai Tong, Ziyuan Zhu, Zhangyu Sha, Yuxin Liu, Dan Meng
      Pages 62-74

    8. WARM: An Interpretability Module with Weighted Association Rule Mining for Recommendation Systems

      • Haifeng Zhu, Fu Lin, Wenbin Hu
      Pages 75-87

    9. Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with \({{\ell}}_{0}\)-Constraints

      • Weifeng Yang, Wenwen Min
      Pages 88-99

    10. Collaborative Filtering Algorithm Based on Contrastive Learning and Filtering Components

      • Ziqi Shen, Wenjie Huang, Xin Luo, Xiankun Zhang
      Pages 100-111

    11. IBAS-SVM Rolling Bearing Fault Diagnosis Method Based on Empirical Modal Characteristics

      • Yishuo Bai, Zijian Tian, Wei Chen, Fusong Wang, Jing Guo, Fangyuan He
      Pages 112-119

    12. Using Graph Neural Network to Analyse and Detect Annotation Misuse in Java Code

      • Jingbo Yang, Xin Ji, Wenjun Wu, Jian Ren, Kui Zhang, Wenya Zhang et al.
      Pages 120-131

    13. Graph Causal Contrastive for Partial Label Learning

      • Jiaguo Yuan, Fengge Wu, Junsuo Zhao
      Pages 132-145

    14. A Stacking Ensemble Deep Learning Model for Stock Price Forecasting

      • Jianlong Hao, Chen Zhang
      Pages 146-157

    15. Smart Trading: A Novel Reinforcement Learning Framework for Quantitative Trading in Noisy Markets

      • Zhenyi Shen, Xiahong Mao, Chao Wang, Dan Zhao, Shuangxue Zhao
      Pages 158-170

    16. Enhancing Image Captioning with Transformer-Based Two-Pass Decoding Framework

      • Jindian Su, Yueqi Mou, Yunhao Xie
      Pages 171-183

    17. Ontology-Aware Overlapping Event Extraction

      • Zhichen Wu, Hongbin Zhang, Lianglun Cheng, Tao Wang, Chong Chen
      Pages 184-196

    18. TVD-BERT: A Domain-Adaptation Pre-trained Model for Textural Vulnerability Descriptions

      • Ziyuan Wang, Xiaoyan Liang, Ruizhong Du, Junfeng Tian, Siyi Zhang
      Pages 197-208

    19. Improving Large Language Models in Multi-party Conversations Through Role-Playing

      • Yilin Zhong, Jiahao Xie, Jie Wang, Bo Fan, Zhaoer Fang, Banghuang Peng
      Pages 209-220
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Other volumes

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  19. Advanced Intelligent Computing Technology and Applications

  20. Advanced Intelligent Computing in Bioinformatics

  21. Advanced Intelligent Computing in Bioinformatics

Editors and Affiliations

  • Eastern Institute of Technology, Ningbo, China

    De-Shuang Huang, Qinhu Zhang

  • Tianjin University of Science and Technology, Tianjin, China

    Xiankun Zhang

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