Xiaowei Yu

61 papers A* 5A 1Journal 34Unranked 21
YearRankTypeTitle / Venue / Authors
2026 A* conf
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging.
AAAI
Huimin Cheng, Xiaowei Yu, Shushan Wu, Luyang Fang, Chao Cao, Jing Zhang, Tianming Liu, Dajiang Zhu, Wenxuan Zhong, Ping Ma
2026 J jnl
Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions.
Artif. Intell. Rev.
Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma
2026 J jnl
Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy.
Medical Image Anal.
Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Xiaowei Yu, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025 — conf
A Unified Continuous Staging Framework for Alzheimer's Disease and Lewy Body Dementia via Hierarchical Anatomical Features.
MICCAI (3)
Tong Chen, Minheng Chen, Jing Zhang, Yan Zhuang, Chao Cao, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu
2025 — conf
Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models.
ISBI
Jing Zhang, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Tong Chen, Chao Cao, Yan Zhuang, Minheng Chen, Tianming Liu, Dajiang Zhu
2025 J jnl
Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models.
CoRR
Jing Zhang, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Tong Chen, Chao Cao, Yan Zhuang, Minheng Chen, Tianming Liu, Dajiang Zhu
2025 — conf
BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification.
ICDM (Workshops)
Jing Zhang, Xiaowei Yu, Tong Chen, Chao Cao, Minheng Chen, Yan Zhuang, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu
2025 J jnl
BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification.
CoRR
Jing Zhang, Xiaowei Yu, Tong Chen, Chao Cao, Mingheng Chen, Yan Zhuang, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu
2025 — conf
Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis.
MLMI@MICCAI
Jing Zhang, Xiaowei Yu, Minheng Chen, Lu Zhang, Tong Chen, Yan Zhuang, Chao Cao, Yanjun Lyu, Li Su, Tianming Liu, Dajiang Zhu
2025 J jnl
Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis.
CoRR
Jing Zhang, Xiaowei Yu, Minheng Chen, Lu Zhang, Tong Chen, Yan Zhuang, Chao Cao, Yanjun Lyu, Li Su, Tianming Liu, Dajiang Zhu
2025 J jnl
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems.
CoRR
Sohan Shankar, Yi Pan, Hanqi Jiang, Zhengliang Liu, Mohammad Reza Darbandi, Agustin Lorenzo, Junhao Chen, Md Mehedi Hasan, Arif Hassan Zidan, Eliana Gelman, Joshua A. Konfrst, Jillian Y. Russell, Katelyn Fernandes, Tianze Yang, Yiwei Li, Huaqin Zhao, Afrar Jahin, Triparna Ganguly, Shair Dinesha, Yifan Zhou, Zihao Wu, Xinliang Li, Lokesh Adusumilli, Aziza Hussein, Sagar Nookarapu, Jixin Hou, Kun Jiang, Jiaxi Li, Brenden Heinel, XianShen Xi, Hailey Hubbard, Zayna Khan, Levi Whitaker, Ivan Cao, Max Allgaier, Andrew Darby, Lin Zhao, Lu Zhang, Xiaoqiao Wang, Xiang Li, Wei Zhang, Xiaowei Yu, Dajiang Zhu, Yohannes Abate, Tianming Liu
2025 — conf
Ca-vqvae: Cortical Folding Aware Numerical Representation of White-Matter Structure.
ISBI
Yanjun Lyu, Jing Zhang, Lu Zhang, Tong Chen, Xiaowei Yu, Minheng Chen, Yan Zhuang, Chao Cao, Tianming Liu, Dajiang Zhu
2025 — conf
Classiffication of Mild Cognitive Impairment Based on Dynamic Functional Connectivity using Spatio-Temporal Transformer.
ISBI
Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Minheng Chen, Yan Zhuang, Tianming Liu, Dajiang Zhu
2025 J jnl
Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer.
CoRR
Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Minheng Chen, Yan Zhuang, Tianming Liu, Dajiang Zhu
2025 J jnl
Core-Periphery Multi-Modality Feature Alignment for Zero-Shot Medical Image Analysis.
IEEE Trans. Medical Imaging
Xiaowei Yu, Lu Zhang, Zihao Wu, Dajiang Zhu
2025 — conf
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification.
MICCAI (12)
Minheng Chen, Xiaowei Yu, Jing Zhang, Tong Chen, Chao Cao, Yan Zhuang, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu
2025 J jnl
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification.
CoRR
Minheng Chen, Xiaowei Yu, Jing Zhang, Tong Chen, Chao Cao, Yan Zhuang, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu
2025 J jnl
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging.
CoRR
Huimin Cheng, Xiaowei Yu, Shushan Wu, Luyang Fang, Chao Cao, Jing Zhang, Tianming Liu, Dajiang Zhu, Wenxuan Zhong, Ping Ma
2025 — conf
Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer.
MICCAI (7)
Xiaowei Yu, Jing Zhang, Tong Chen, Yan Zhuang, Minheng Chen, Chao Cao, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu
2025 J jnl
Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer.
CoRR
Xiaowei Yu, Jing Zhang, Tong Chen, Yan Zhuang, Minheng Chen, Chao Cao, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu
2025 A* conf
ECHOPulse: ECG Controlled Echocardio-gram Video Generation.
ICLR
Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, Xiang Li
2025 J jnl
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
IEEE Trans. Big Data
Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Zhengliang Liu, Lin Zhao, Yiwei Li, Haixing Dai, Chong Ma, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
2025 A conf
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation.
WACV
Xiaowei Yu, Zhe Huang, Zao Zhang
2025 — conf
GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization.
MLMI@MICCAI
Yan Zhuang, Minheng Chen, Chao Cao, Tong Chen, Jing Zhang, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu
2025 J jnl
GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization.
CoRR
Yan Zhuang, Minheng Chen, Chao Cao, Tong Chen, Jing Zhang, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu
2025 J jnl
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions.
CoRR
Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma
2025 J jnl
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.
Medical Image Anal.
Lu Zhang, Zhengwang Wu, Xiaowei Yu, Yanjun Lyu, Zihao Wu, Haixing Dai, Lin Zhao, Li Wang, Gang Li, Xianqiao Wang, Tianming Liu, Dajiang Zhu
2025 — conf
Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis.
ISBI
Zhe Huang, Xiaowei Yu, Benjamin S. Wessler, Michael C. Hughes
2025 — conf
Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of Cortical Folding Patterns.
ISBI
Minheng Chen, Chao Cao, Tong Chen, Yan Zhuang, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Tianming Liu, Dajiang Zhu
2024 J jnl
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding.
CoRR
Heng Huang, Lin Zhao, Zihao Wu, Xiaowei Yu, Jing Zhang, Xintao Hu, Dajiang Zhu, Tianming Liu
2024 — conf
CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis.
MICCAI (3)
Xiaowei Yu, Zihao Wu, Lu Zhang, Jing Zhang, Yanjun Lyu, Dajiang Zhu
2024 — conf
Enhancing Group-Wise Consistency in 3-Hinge Gyrus Matching Via Anatomical Embedding and Structural Connectivity Optimization.
ISBI
Chao Cao, Xiaowei Yu, Lu Zhang, Tong Chen, Yanjun Lyu, Tianming Liu, Dajiang Zhu
2024 J jnl
Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR
Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu
2024 J jnl
Eye-gaze Guided Multi-modal Alignment Framework for Radiology.
CoRR
Chong Ma, Hanqi Jiang, Wenting Chen, Zihao Wu, Xiaowei Yu, Fang Zeng, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li
2024 A* conf
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning.
NeurIPS
Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li
2024 J jnl
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation.
CoRR
Xiaowei Yu, Zhe Huang, Zao Zhang
2024 J jnl
GP-GPT: Large Language Model for Gene-Phenotype Mapping.
CoRR
Yanjun Lyu, Zihao Wu, Lu Zhang, Jing Zhang, Yiwei Li, Wei Ruan, Zhengliang Liu, Xiaowei Yu, Chao Cao, Tong Chen, Minheng Chen, Yan Zhuang, Xiang Li, Rongjie Liu, Chao Huang, Wentao Li, Tianming Liu, Dajiang Zhu
2024 — conf
Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks.
MICCAI (12)
Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Yanjun Lyu, Jing Zhang, Tianming Liu, Dajiang Zhu
2024 J jnl
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
Inf. Fusion
Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang
2024 A* conf
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning.
ICML
Zhe Huang, Xiaowei Yu, Dajiang Zhu, Michael C. Hughes
2024 J jnl
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning.
CoRR
Zhe Huang, Xiaowei Yu, Dajiang Zhu, Michael C. Hughes
2024 — conf
Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome.
ISBI
Yanjun Lyu, Lu Zhang, Xiaowei Yu, Chao Cao, Tianming Liu, Dajiang Zhu
2024 A* conf
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices.
NeurIPS
Zhihao Shu, Xiaowei Yu, Zihao Wu, Wenqi Jia, Yinchen Shi, Miao Yin, Tianming Liu, Dajiang Zhu, Wei Niu
2024 J jnl
Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis.
CoRR
Zhe Huang, Xiaowei Yu, Benjamin S. Wessler, Michael C. Hughes
2024 J jnl
Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of 3-hinge Gyrus.
CoRR
Minheng Chen, Chao Cao, Tong Chen, Yan Zhuang, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Tianming Liu, Dajiang Zhu
2023 J jnl
Core-Periphery Principle Guided Redesign of Self-Attention in Transformers.
CoRR
Xiaowei Yu, Lu Zhang, Haixing Dai, Yanjun Lyu, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Dajiang Zhu
2023 J jnl
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4.
CoRR
Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li
2023 J jnl
Exploring the Influence of Information Entropy Change in Learning Systems.
CoRR
Xiaowei Yu, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
2023 J jnl
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR
Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
2023 J jnl
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification.
CoRR
Haixing Dai, Lu Zhang, Lin Zhao, Zihao Wu, Zhengliang Liu, David Liu, Xiaowei Yu, Yanjun Lyu, Changying Li, Ninghao Liu, Tianming Liu, Dajiang Zhu
2023 J jnl
Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR
Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu
2023 J jnl
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR
Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang
2023 — conf
Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer's Disease.
ISBI
Lu Zhang, Xiaowei Yu, Yanjun Lyu, Tianming Liu, Dajiang Zhu
2023 J jnl
Segment Anything Model (SAM) for Radiation Oncology.
CoRR
Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, Dajiang Zhu, Tianming Liu, Wei Liu
2023 — conf
Supervised Deep Tree in Alzheimer's Disease.
ISBI
Xiaowei Yu, Lu Zhang, Yanjun Lyu, Tianming Liu, Dajiang Zhu
2023 J jnl
When Brain-inspired AI Meets AGI.
CoRR
Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu
2022 — conf
Classification of Alzheimer's Disease via Vision Transformer: Classification of Alzheimer's Disease via Vision Transformer.
PETRA
Yanjun Lyu, Xiaowei Yu, Dajiang Zhu, Lu Zhang
2022 J jnl
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers.
CoRR
Xiaowei Yu, Lu Zhang, Lin Zhao, Yanjun Lyu, Tianming Liu, Dajiang Zhu
2022 — conf
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
MICCAI (8)
Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li
2021 — conf
Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data: Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data.
PETRA
Yanjun Lyu, Xiaowei Yu, Lu Zhang, Dajiang Zhu
2018 — conf
Doppler Scale Estimation for Underwater Acoustic Communications Using Dual Zadoff-Chu Sequences.
ICSPCC
Xiaowei Yu, Yiyin Wang, Xinping Guan