dblp: Hongyu Wang 0008 (original) (raw)

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• > Home > Persons

Person information

• affiliation: University of Waikato, New Zealand

Other persons with the same name

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• Hongyu Wang (aka: Hong-Yu Wang) — disambiguation page

• Hongyu Wang 0001 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, School of Information and Communication Engineering, China (and 2 more)

• Hongyu Wang 0002 — Knight Capital Group (and 2 more)

• Hongyu Wang 0003 — Yangzhou University, School of Mathematics

• Hongyu Wang 0004 — University College London

• Hongyu Wang 0005 — Wuhan University, International School of Software, China

• Hongyu Wang 0006 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China

• Hongyu Wang 0007 — Xi'an University of Posts and Telecommunications, School of Computer Science, China (and 1 more)

• Hongyu Wang 0009 — Institute of Computing Technology, Chinese Academy of Sciences, China

• Hongyu Wang 0010 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China (and 2 more)

• Hongyu Wang 0011 — Northwestern Polytechnical University, School of Computer Science and Engineering, SAIIP, Xi'an, China

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2020 – today

• 2025
• 
  [j3]
  Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoff Holmes:
  Pruning Feature Extractor Stacking for Cross-domain Few-shot Learning. Trans. Mach. Learn. Res. 2025 (2025)
• 2024
• 
  [j2]
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    Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
    Feature extractor stacking for cross-domain few-shot learning. Mach. Learn. 113(1): 121-158 (2024)
• 2023
• 
  [c4]
  Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
  Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. CoLLAs 2023: 481-492
• 2022
• 
  [c3]
  Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
  Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD 2022: 81-83
• 
  [i1]
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    Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes:
    Cross-domain Few-shot Meta-learning Using Stacking. CoRR abs/2205.05831 (2022)
• 2021
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  [j1]
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    Hongyu Wang, Lynne Chepulis, Ryan G. Paul, Michael Mayo:
    Metaheuristic Optimization of Insulin Infusion Protocols Using Historical Data with Validation Using a Patient Simulator. Vietnam. J. Comput. Sci. 8(2): 263-290 (2021)
• 2020
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  [c2]
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    Hongyu Wang, Lynne Chepulis, Ryan G. Paul, Michael Mayo:
    Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data. ACIIDS (1) 2020: 157-169
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  [c1]
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    Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo:
    A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning. Australasian Conference on Artificial Intelligence 2020: 445-457

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