Jueqing Lu
Scholar

Jueqing Lu

Google Scholar ID: YfPazL8AAAAJ
Monash University
Machine Learning
Citations & Impact
All-time
Citations
79
 
H-index
3
 
i10-index
2
 
Publications
8
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Preprint: 'Decoupled Multimodal Prototypes for Visual Recognition with Missing Modalities'
  • ICML 2025: 'Navigating Conflicting Views: Harnessing Trust for Learning'
  • CVPR 2025: 'CGMatch: A Different Perspective of Semi-supervised Learning'
  • UAI 2025: 'Multi-Label Bayesian Active Learning with Inter-Label Relationships'
  • ACL 2025: 'Neural Topic Modeling with Large Language Models in the Loop'
  • EMNLP 2020: 'Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs'
  • Monash Research Scholarship (Full-time), 2022
  • Highest Score in Monash Machine Learning & Applied Data Analysis units, Semester 2, 2018
  • Winner of Monash Applied Data Analysis Kaggle Competition, Semester 2, 2018
  • Monash International Merit Scholarship, 2018–2020
Co-authors
0 total
Co-authors: 0 (list not available)