Yuchang Zhu
Scholar

Yuchang Zhu

Google Scholar ID: 4ZUSDRoAAAAJ
Sun Yat-sen University
FairnessTrustworthy AIData-Centric AILarge Language Models
Citations & Impact
All-time
Citations
236
 
H-index
8
 
i10-index
7
 
Publications
19
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Paper 'Measuring Diversity in Synthetic Datasets' accepted by ICML 2025.
  • Published 'One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes' at KDD 2024.
  • Published 'Fair Graph Representation Learning via Sensitive Attribute Disentanglement' at WWW 2024.
  • Published 'The devil is in the data: Learning fair graph neural networks via partial knowledge distillation' at WSDM 2024.
  • Published 'Fairagg: Toward fair graph neural networks via fair aggregation' in TCSS 2024.
  • Published 'A smartphone-based six-dof measurement method with marker detector' in IEEE TIM, 2022.
  • Preprint 'SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding' (arXiv 2025).
  • Preprint 'What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning' (arXiv 2025).
  • National Scholarship (Top 0.4% nationwide), Nov 2024.
  • Excellent Master’s Thesis Award, SCAU, Jun 2021.
  • Excellent Bachelor’s Thesis Award and Outstanding Graduate (10/550), SCAU, Jun 2019.
  • National Endeavor Scholarship, Sep 2016.