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  • Conference proceedings
  • © 2022

Knowledge Science, Engineering and Management

15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13369)

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

Conference series link(s): KSEM: International Conference on Knowledge Science, Engineering and Management

Conference proceedings info: KSEM 2022.

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  • ISBN: 978-3-031-10986-7
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Table of contents (55 papers)

  1. Front Matter

    Pages i-xv
  2. Knowledge Engineering Research and Applications (KERA)

    1. Front Matter

      Pages 1-1
    2. Multi-view Heterogeneous Network Embedding

      • Ouxia Du, Yujia Zhang, Xinyue Li, Junyi Zhu, Tanghu Zheng, Ya Li
      Pages 3-15
    3. A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge

      • Tiechui Yao, Jue Wang, Haizhou Cao, Fang Liu, Xiaoguang Wang, Yangang Wang et al.
      Pages 16-28
    4. Unsupervised Person Re-ID via Loose-Tight Alternate Clustering

      • Bo Li, Tianbao Liang, Jianming Lv, Shengjing Chen, Hongjian Xie
      Pages 29-42
    5. Sparse Dense Transformer Network for Video Action Recognition

      • Xiaochun Qu, Zheyuan Zhang, Wei Xiao, Jinye Ran, Guodong Wang, Zili Zhang
      Pages 43-56
    6. Deep User Multi-interest Network for Click-Through Rate Prediction

      • Ming Wu, Junqian Xing, Shanxiong Chen
      Pages 57-69
    7. Open Relation Extraction via Query-Based Span Prediction

      • Huifan Yang, Da-Wei Li, Zekun Li, Donglin Yang, Jinsheng Qi, Bin Wu
      Pages 70-81
    8. Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations

      • Baolin Jia, Shiqun Yin, Ningchao Wang, Junli Lin
      Pages 82-93
    9. Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel

      • Zongguo Wang, Ziyi Chen, Xinfu He, Han Cao, Yuedong Cui, Meng Wan et al.
      Pages 117-127
    10. Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation

      • Ankun Wang, Feng Liu, Zhen Huang, Minghao Hu, Dongsheng Li, Yifan Chen et al.
      Pages 128-139
    11. Topic and Reference Guided Keyphrase Generation from Social Media

      • Xiubin Yu, Xingjun Chen, Zhen Huang, Yong Dou, Biao Hu
      Pages 140-154
    12. DISEL: A Language for Specifying DIS-Based Ontologies

      • Yijie Wang, Yihai Chen, Deemah Alomair, Ridha Khedri
      Pages 155-171
    13. MSSA-FL: High-Performance Multi-stage Semi-asynchronous Federated Learning with Non-IID Data

      • Xiaohui Wei, Mingkai Hou, Chenghao Ren, Xiang Li, Hengshan Yue
      Pages 172-187
    14. Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning

      • Xinzhi Wang, Yang Liu, Yudong Chang, Chao Jiang, Qingjie Zhang
      Pages 200-211
    15. CLINER: Clinical Interrogation Named Entity Recognition

      • Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng et al.
      Pages 212-224
    16. CCDC: A Chinese-Centric Cross Domain Contrastive Learning Framework

      • Hao Yang, Shimin Tao, Minghan Wang, Min Zhang, Daimeng Wei, Shuai Zhao et al.
      Pages 225-236

About this book

The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6–8, 2022. 

The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:

Volume I:
Knowledge Science with Learning and AI (KSLA)

Volume II:
Knowledge Engineering Research and Applications (KERA)

Volume III:
Knowledge Management with Optimization and Security (KMOS)

Keywords

  • artificial intelligence
  • computational linguistics
  • computer networks,
  • computer systems
  • computer vision
  • data mining
  • image analysis
  • image processing
  • information retrieval
  • linguistics
  • machine learning
  • natural language processing
  • natural languages
  • network protocols
  • neural networks
  • nlp
  • pattern recognition
  • signal processing

Editors and Affiliations

  • Télécom Paris, Paris, France

    Gerard Memmi

  • Purdue University, West Lafayette, USA

    Baijian Yang

  • Shanghai Jiao Tong University, Shanghai, China

    Linghe Kong

  • Nanyang Technological University, Singapore, Singapore

    Tianwei Zhang

  • Texas A&M University – Commerce, Commerce, USA

    Meikang Qiu

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • ISBN: 978-3-031-10986-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 109.99
Price excludes VAT (USA)