Menghui Zhou
Scholar

Menghui Zhou

Google Scholar ID: t8Y_gnsAAAAJ
Sheffield University
Representation LearningInterpretable Learning
Citations & Impact
All-time
Citations
165
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Publications:
  • - AAAI 2026: Learning Structure: Minimal for Supervised, Rich for Unsupervised
  • - TKDE 2024: Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer’s Disease Progression Prediction
  • - KDD 2023: Automatic Temporal Relation in Multi-Task Learning
  • - AAAI 2023: Robust Temporal Smoothness in Multi-Task Learning
  • - EAAI 2025: Joint image synthesis and fusion with converted features for Alzheimer’s disease diagnosis
  • - KBS 2024: Informative relationship multi-task learning: Exploring pairwise contribution across tasks’ sharing knowledge
  • - BIBM 2024: Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression
  • - BIBM 2024: Learning Interpretable Continuous Representation for Alzheimer’s Disease Classification
  • - NCA 2023: Efficient multi-task learning with adaptive temporal structure for progression prediction
Research Experience
  • - Position: PhD Student in the Pervasive Computing Group at the University of Sheffield
Education
  • - Bachelor's Degree: School of Computer Science and Engineering, Sun Yat-sen University
  • - Master's Degree: School of Software, Yunnan University, Advisors: Prof. Yun Yang and Prof. Po Yang
  • - PhD: Pervasive Computing Group, University of Sheffield, Advisor: Prof. Po Yang
Background
  • - Research Interests: Interpretable machine learning and its applications in healthcare and smart agriculture
  • - Professional Field: Computer Science and Engineering, Software Engineering
Co-authors
0 total
Co-authors: 0 (list not available)