Lu Zhang

According to our database, Lu Zhang authored at least 44 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.

Lu Zhang, Zhengwang Wu, Xiaowei Yu, Yanjun Lyu, Zihao Wu, Haixing Dai, Lin Zhao, Li Wang, Gang Li, Xianqiao Wang, Tianming Liu, Dajiang Zhu

Medical Image Anal., 2025

2024

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.

Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., April, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.

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

Inf. Fusion, April, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.

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

CoRR, 2024

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

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

CoRR, 2024

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis.

Xiaowei Yu, Zihao Wu, Lu Zhang, Jing Zhang, Yanjun Lyu, Dajiang Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome.

Yanjun Lyu, Lu Zhang, Xiaowei Yu, Chao Cao, Tianming Liu, Dajiang Zhu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Group-Wise Consistency in 3-Hinge Gyrus Matching Via Anatomical Embedding and Structural Connectivity Optimization.

Chao Cao, Xiaowei Yu, Lu Zhang, Tong Chen, Yanjun Lyu, Tianming Liu, Dajiang Zhu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.

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

CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.

Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang

CoRR, 2023

Exploring the Influence of Information Entropy Change in Learning Systems.

Xiaowei Yu, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu

CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.

Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu

CoRR, 2023

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification.

Haixing Dai, Lu Zhang, Lin Zhao, Zihao Wu, Zhengliang Liu, David Liu, Xiaowei Yu, Yanjun Lyu, Changying Li, Ninghao Liu, Tianming Liu, Dajiang Zhu

CoRR, 2023

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.

Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li

CoRR, 2023

Segment Anything Model (SAM) for Radiation Oncology.

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

CoRR, 2023

Artificial General Intelligence for Medical Imaging.

Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen

CoRR, 2023

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.

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

CoRR, 2023

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.

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

CoRR, 2023

When Brain-inspired AI Meets AGI.

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

CoRR, 2023

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers.

Xiaowei Yu, Lu Zhang, Haixing Dai, Yanjun Lyu, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Dajiang Zhu

CoRR, 2023

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4.

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

CoRR, 2023

Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study.

Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN.

Xiang Gao, Xin Zhang, Lu Zhang, Xiangmin Xu, Dajiang Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.

Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer's Disease.

Lu Zhang, Xiaowei Yu, Yanjun Lyu, Tianming Liu, Dajiang Zhu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Supervised Deep Tree in Alzheimer's Disease.

Xiaowei Yu, Lu Zhang, Yanjun Lyu, Tianming Liu, Dajiang Zhu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Predicting brain structural network using functional connectivity.

Lu Zhang, Li Wang, Dajiang Zhu, Alzheimer's Disease Neuroimaging Initiative

Medical Image Anal., 2022

BI AVAN: Brain inspired Adversarial Visual Attention Network.

Heng Huang, Lin Zhao, Xintao Hu, Haixing Dai, Lu Zhang, Dajiang Zhu, Tianming Liu

CoRR, 2022

A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers.

Yuzhong Chen, Yu Du, Zhenxiang Xiao, Lin Zhao, Lu Zhang, David Weizhong Liu, Dajiang Zhu, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang

CoRR, 2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning.

Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu

CoRR, 2022

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning.

Yuzhong Chen, Zhenxiang Xiao, Lin Zhao, Lu Zhang, Haixing Dai, David Weizhong Liu, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang

CoRR, 2022

Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers.

Xiaowei Yu, Lu Zhang, Lin Zhao, Yanjun Lyu, Tianming Liu, Dajiang Zhu

CoRR, 2022

Classification of Alzheimer's Disease via Vision Transformer: Classification of Alzheimer's Disease via Vision Transformer.

Yanjun Lyu, Xiaowei Yu, Dajiang Zhu, Lu Zhang

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.

Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.

Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021

Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment.

Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu

Medical Image Anal., 2021

Representing Alzheimer's Disease Progression via Deep Prototype Tree.

Lu Zhang, Li Wang, Dajiang Zhu

CoRR, 2021

Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data: Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data.

Yanjun Lyu, Xiaowei Yu, Lu Zhang, Dajiang Zhu

Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2020

Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network.

Lu Zhang, Li Wang, Dajiang Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network.

Lu Zhang, Li Wang, Dajiang Zhu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment.

Li Wang, Lu Zhang, Dajiang Zhu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

A Cascaded Multi-modality Analysis in Mild Cognitive Impairment.

Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Multi-modal Image Prediction via Spatial Hybrid U-Net.

Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu

Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning.

Li Wang, Lu Zhang, Dajiang Zhu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019