Resume
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