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Neural Computing for Advanced Applications

5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part III

  • Conference proceedings
  • © 2025

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Editors:
  1. Haijun Zhang

    1. Harbin Institute of Technology, Shenzhen, China

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  2. Xianxian Li

    1. Guangxi Normal University, Guilin, China

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  3. Tianyong Hao

    1. South China Normal University, Guangzhou, China

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  4. Weizhi Meng

    1. Technical University of Denmark, Kongens Lyngby, Denmark

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  5. Zhou Wu

    1. Chongqing University, Chongqing, China

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  6. Qian He

    1. Guilin University of Electronic Technology, Guilin, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2183)

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Conference proceedings info: NCAA 2024.

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About this book

This book constitutes the refereed proceedings of the 5th International Conference on Neural Computing for Advanced Applications, NCAA 2024, held in Guilin, China, during July 5–7, 2024.

The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. The papers are organized in the following topical sections:

Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Computer vision, and their engineering applications.

Part II: Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks.

Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications; Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security.

Keywords

Table of contents (33 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Natural Language Processing, Knowledge Graphs, Recommender Systems, Multimodal Deep Learning, and Their Applications

    1. Front Matter

      Pages 1-1
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    2. A Similarity Index Time-Effect Collaborative Filtering Algorithm Based on Attentional Double BP Network

      • Jing Zhang, Jiankun Wang, Lu Xu, Ting Zhou, Junwei Gu, Yu Wang
      Pages 3-16

    3. ESert: An Enhanced Span-Based Model for Measurable Quantitative Information Extraction from Medical Texts

      • Qixuan Zhang, Jiale Chen, Haitao Wang, Xinyu Cao, Wei Jie, Tianyong Hao
      Pages 17-32

    4. Temporal Knowledge Graph Link Prediction Using Synergized Large Language Models and Temporal Knowledge Graphs

      • Yao Chen, Yuming Shen
      Pages 33-45

    5. A New Multi-level Knowledge Retrieval Model for Task-Oriented Dialogue

      • Xuelian Dong, Jiale Chen, Heng Weng, Zili Chen, Fu Lee Wang, Tianyong Hao
      Pages 46-60

    6. FPLGen: A Personalized Dialogue System Based on Feature Prompt Learning

      • Yuxing Chu, Ke Huang, Yichen Li, Hao Zhu, Peiran Li, Menghua Zhang
      Pages 61-74

    7. Ensemble Learning with Feature Fusion for Well-Overflow Detection

      • Ziliang Cui, Li Liu, Yinzhou Xiong, Yinguo Liu, Yu Su, Zhimin Man et al.
      Pages 75-89

    8. CE-DSLAM: A Dynamic SLAM Framework Based on Human Contact Experience for Escort Robots

      • Jilin Zhang, Ke Huang, Yichen Li, Hao Zhu, Peiran Li, Menghua Zhang
      Pages 90-103

    9. EmoBART: Multi-label Emotion Classification Method Based on Pre-trained Label Sequence Generation Model

      • Sufen Chen, Lei Chen, Xueqiang Zeng
      Pages 104-115

    10. Improving Dialogue State Tracking with Interactive Acts Attention and Attention Divergence Loss Function

      • Jingjing Lan, Rongjiao Liang, Hai Liu, Chaobo He, Tianyong Hao
      Pages 116-131

    11. Psychological Consultation Dialogue Generation Based on Multi-label Classification Model and GPT

      • Hongkui Xu, Jingzheng Zhao, Xubin Guo
      Pages 132-147

    12. DRLN: Disentangled Representation Learning Network for Multimodal Sentiment Analysis

      • Jingming Hou, Nazlia Omar, Sabrina Tiun, Saidah Saad, Qian He
      Pages 148-161

    13. Trilinear Distillation Learning and Question Feature Capturing for Medical Visual Question Answering

      • Shaopei Long, Yong Li, Heng Weng, Buzhou Tang, Fu Lee Wang, Tianyong Hao
      Pages 162-177

    14. Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition

      • Yihang Dong, Xuhang Chen, Yanyan Shen, Michael Kwok-Po Ng, Tao Qian, Shuqiang Wang
      Pages 178-192

    15. Rehabilitation Training Program Recommendation System Based on ALBERT-LDA Model

      • Xiaozhuang Zhu, Qianqian Xu, Nuo Gao
      Pages 193-207

    16. Named Entity Recognition of Belt Conveyor Faults Based on ALBERT-BiLSTM-SAM-CRF

      • Qi Zhu, Jingjing Cao, Zhangyi Xu
      Pages 208-221

    17. Explicit Facial Attribute Disentanglement for Hierarchical Relationships Detection

      • Pan Sun, Hong Yu, Jiang Xie, Jiaxu Leng, Ye Wang
      Pages 222-236

  3. Fault Diagnosis and Forecasting, Prognostic Management, Time-Series Aanalysis, and Cyber-Physical System Security

    1. Front Matter

      Pages 237-237
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    2. A Federated Learning Method for Non-intrusive Load Monitoring Based on Fed-Prox and Bi-GRU

      • Jinghao Xu, Ding Li, Wenkai Hu, Xudong Cheng
      Pages 239-254
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Other volumes

  1. Neural Computing for Advanced Applications

  2. Neural Computing for Advanced Applications

  3. Neural Computing for Advanced Applications

Editors and Affiliations

  • Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  • Guangxi Normal University, Guilin, China

    Xianxian Li

  • South China Normal University, Guangzhou, China

    Tianyong Hao

  • Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  • Chongqing University, Chongqing, China

    Zhou Wu

  • Guilin University of Electronic Technology, Guilin, China

    Qian He

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