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Neural Information Processing

30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XI

  • Conference proceedings
  • © 2024

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Editors:
  1. Biao Luo

    1. School of Automation, Central South University, Changsha, China

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  2. Long Cheng

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  3. Zheng-Guang Wu

    1. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China

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  4. Hongyi Li

    1. School of Automation, Guangdong University of Technology, Guangzhou, China

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  5. Chaojie Li

    1. School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney, Australia

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1965)

Included in the following conference series:

Conference proceedings info: ICONIP 2023.

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Table of contents (44 papers)

  1. Front Matter

    Pages ii-xxi
    Download chapter PDF

  2. Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Multi-intent Description of Keyword Expansion for Code Search

      • Haize Hu, Jianxun Liu, Lin Xiao
      Pages 3-14

    3. Few-Shot NER in Marine Ecology Using Deep Learning

      • Jian Wang, Ming Liu, Danfeng Zhao, Shuai Shi, Wei Song
      Pages 15-26

    4. Knowledge Prompting with Contrastive Learning for Unsupervised CommonsenseQA

      • Lihui Zhang, Ruifan Li
      Pages 27-38

    5. PTCP: Alleviate Layer Collapse in Pruning at Initialization via Parameter Threshold Compensation and Preservation

      • Xinpeng Hao, Shiyuan Tang, Heqian Qiu, Hefei Mei, Benliu Qiu, Jian Jiao et al.
      Pages 39-51

    6. Hierarchical Attribute-Based Encryption Scheme Supporting Computing Outsourcing and Time-Limited Access in Edge Computing

      • Ke Li, Changchun Li, Jun Shen
      Pages 52-64

    7. An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application

      • Cunnian Gao, Hao Ren, Wei Cui, Xiaojun Liang, Chunhua Yang, Weihua Gui et al.
      Pages 65-76

    8. Efficient Prompt Tuning for Vision and Language Models

      • Bing Li, Feng Li, Shaokun Gao, Qile Fan, Yuchen Lu, Reyu Hu et al.
      Pages 77-89

    9. Spatiotemporal Particulate Matter Pollution Prediction Using Cloud-Edge Intelligence

      • Satheesh Abimannan, El-Sayed M. El-Alfy, Saurabh Shukla, Dhivyadharsini Satheesh
      Pages 90-100

    10. From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values

      • Fangchen Yu, Zhan Shi, Yuqi Ma, Jianfeng Mao, Wenye Li
      Pages 101-112

    11. PLKA-MVSNet: Parallel Multi-view Stereo with Large Kernel Convolution Attention

      • Bingsen Huang, Jinzheng Lu, Qiang Li, Qiyuan Liu, Maosong Lin, Yongqiang Cheng
      Pages 113-125

    12. Enhancement of Masked Expression Recognition Inference via Fusion Segmentation and Classifier

      • Ruixue Chai, Wei Wu, Yuxing Lee
      Pages 126-138

    13. Semantic Line Detection Using Deep-Hough with Attention Mechanism and Strip Convolution

      • Hang Zhang, Heping Li, Liang Wang
      Pages 139-152

    14. Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion

      • Xing Gong, Jianyang Qin, Ye Ding, Yan Jia, Qing Liao
      Pages 153-164

    15. Applications of Quantum Embedding in Computer Vision

      • Juntao Zhang, Jun Zhou, Hailong Wang, Yang Lei, Peng Cheng, Zehan Li et al.
      Pages 165-177

    16. Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features

      • Guangyuan Pan, Xiuqiang Wu, Liping Fu, Ancai Zhang, Qingguo Xiao
      Pages 178-190

    17. Phishing Scam Detection for Ethereum Based on Community Enhanced Graph Convolutional Networks

      • Keting Yin, Binglong Ye
      Pages 191-206

    18. DTP: An Open-Domain Text Relation Extraction Method

      • Yuanzhe Qiu, Chenkai Hu, Kai Gao
      Pages 207-219

    19. Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation

      • Weiqiang Jin, Biao Zhao, Guizhong Liu
      Pages 220-237
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

  5. Neural Information Processing

  6. Neural Information Processing

  7. Neural Information Processing

  8. Neural Information Processing

  9. Neural Information Processing

  10. Neural Information Processing

  11. Neural Information Processing

  12. Neural Information Processing

  13. Neural Information Processing

  14. Neural Information Processing

  15. Neural Information Processing

Keywords

About this book

The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023.  


The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. 


The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.

Editors and Affiliations

  • School of Automation, Central South University, Changsha, China

    Biao Luo

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Long Cheng

  • Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China

    Zheng-Guang Wu

  • School of Automation, Guangdong University of Technology, Guangzhou, China

    Hongyi Li

  • School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney, Australia

    Chaojie Li

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