Dajiang Zhu
13 papers · 2010–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π Academic Marathon (15)
π
Cross-Pollinator
(5)
πΊοΈ
Taxonomy Completionist
(22)
π
Renaissance Researcher
(6)
π€
Dynamic Duo
(10)
π
Keyword Champion
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(12)
Conferences
MICCAI (7)
NIPS (3)
AAAI (1)
ACL (1)
ICML (1)
Top co-authors
Research topics
Keywords
medical imaging
(3)
vision transformer
(2)
self-attention mechanism
(1)
neural encoding
(1)
brain connectivity
(1)
neuroimaging
(1)
attention mechanism
(1)
multi-modal learning
(1)
efficient computing
(1)
brain-computer interface
(1)
eye tracking
(1)
simulated annealing
(1)
auditory processing
(1)
model pruning
(1)
functional neuroimaging
(1)
region of interest optimization
(1)
structural connectivity
(1)
region of interest
(1)
simulated annealing optimization
(1)
structural functional coupling
(1)
Papers
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging
AAAI 2026
Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brainβs Structural Connectivity Under Genomic Influences
MICCAI 2025
A Unified Continuous Staging Framework for Alzheimerβs Disease and Lewy Body Dementia via Hierarchical Anatomical Features
MICCAI 2025
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
MICCAI 2025
Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
MICCAI 2025
Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
MICCAI 2024
CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis
MICCAI 2024
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
NIPS 2024
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
NIPS 2024
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
ICML 2024
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution
MICCAI 2024
Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding
ACL 2023
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles
NIPS 2010