activity
20242026
most citedEvaluation of OpenAI o1: Opportunities and Challenges of AGI

22 citations · 35 across the 11 of their papers we have counts for

collaborators

11 papers

q-bio.NC2026

Community-Level Modeling of Gyral Folding Patterns for Robust and Anatomically Informed Individualized Brain Mapping

Minheng Chen, Tong Chen, Yan Zhuang +5

Cortical folding exhibits substantial inter-individual variability while preserving stable anatomical landmarks that enable fine-scale characterization of cortical organization. Am…

cs.CV2025

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…

cs.LG2025

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 (…

q-bio.NC2025

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…

q-bio.NC2025

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…

cs.LG2025

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…

eess.IV2025★ 1 cited

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…

eess.IV2025★ 8 cited

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…

cs.CV2024

Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of Cortical Folding Patterns

Minheng Chen, Chao Cao, Tong Chen +7

The 3-hinge gyrus (3HG) is a newly defined folding pattern, which is the conjunction of gyri coming from three directions in cortical folding. Many studies demonstrated that 3HGs c…

cs.CL2024★ 22 cited

Evaluation of OpenAI o1: Opportunities and Challenges of AGI

Tianyang Zhong, Zhengliang Liu, Yi Pan +74

This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, includi…

cs.CL2024★ 4 cited

GP-GPT: Large Language Model for Gene-Phenotype Mapping

Yanjun Lyu, Zihao Wu, Lu Zhang +11

Pre-trained large language models(LLMs) have attracted increasing attention in biomedical domains due to their success in natural language processing. However, the complex traits a…