89 citations · 190 across the 26 of their papers we have counts for
10 papers · 1 filter
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging
Huimin Cheng, Xiaowei Yu, Shushan Wu +7
Medical images exhibit latent anatomical groupings, such as organs, tissues, and pathological regions, that standard Vision Transformers (ViTs) fail to exploit. While recent work l…
Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis
Jing Zhang, Xiaowei Yu, Minheng Chen +8
Integrating brain imaging data with clinical reports offers a valuable opportunity to leverage complementary multimodal information for more effective and timely diagnosis in pract…
Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
Xiaowei Yu, Jing Zhang, Tong Chen +8
Lewy Body Disease (LBD) is a common yet understudied form of dementia that imposes a significant burden on public health. It shares clinical similarities with Alzheimer's disease (…
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
Sohan Shankar, Yi Pan, Hanqi Jiang +43
This position and survey paper identifies the emerging convergence of neuroscience, artificial general intelligence (AGI), and neuromorphic computing toward a unified research para…
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions
Luyang Fang, Xiaowei Yu, Jiazhang Cai +23
The exponential growth of Large Language Models (LLMs) continues to highlight the need for efficient strategies to meet ever-expanding computational and data demands. This survey p…
GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization
Yan Zhuang, Minheng Chen, Chao Cao +7
Understanding the structural and functional organization of the human brain requires a detailed examination of cortical folding patterns, among which the three-hinge gyrus (3HG) ha…
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
Minheng Chen, Xiaowei Yu, Jing Zhang +7
Understanding the organization of human brain networks has become a central focus in neuroscience, particularly in the study of functional connectivity, which plays a crucial role…
BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification
Jing Zhang, Xiaowei Yu, Tong Chen +8
The Lewy body dementia (LBD) is the second most common neurodegenerative dementia after Alzheimer's disease (AD). Early differentiation between AD and LBD is crucial because they r…
Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer
Jing Zhang, Yanjun Lyu, Xiaowei Yu +7
Dynamic functional connectivity (dFC) using resting-state functional magnetic resonance imaging (rs-fMRI) is an advanced technique for capturing the dynamic changes of neural activ…
Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models
Jing Zhang, Xiaowei Yu, Yanjun Lyu +7
Understanding brain disorders is crucial for accurate clinical diagnosis and treatment. Recent advances in Multimodal Large Language Models (MLLMs) offer a promising approach to in…