Lu Zhang - RankMe

77 papers Journal 46Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Community-Level Modeling of Gyral Folding Patterns for Robust and Anatomically Informed Individualized Brain Mapping. CoRR Minheng Chen, Tong Chen, Yan Zhuang, Chao Cao, Jing Zhang, Tianming Liu, Lu Zhang, Dajiang Zhu
2026	J	`jnl`	Large language models for bioinformatics. Quant. Biol. Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
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	J	`jnl`	A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers. IEEE Trans. Neural Networks Learn. Syst. Yuzhong Chen, Zhenxiang Xiao, Yu Du, Lin Zhao, Lu Zhang, Zihao Wu, Dajiang Zhu, Tuo Zhang, Dezhong Yao, Xintao Hu, Tianming Liu, Xi Jiang
2025	J	`jnl`	Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. CoRR Haoran Lu, Luyang Fang, Ruidong Zhang, Xinliang Li, Jiazhang Cai, Huimin Cheng, Lin Tang, Ziyu Liu, Zeliang Sun, Tao Wang, Yingchuan Zhang, Arif Hassan Zidan, Jinwen Xu, Jincheng Yu, Meizhi Yu, Hanqi Jiang, Xilin Gong, Weidi Luo, Bolun Sun, Yongkai Chen, Terry Ma, Shushan Wu, Yifan Zhou, Junhao Chen, Haotian Xiang, Jing Zhang, Afrar Jahin, Wei Ruan, Ke Deng, Yi Pan, Peilong Wang, Jiahui Li, Zhengliang Liu, Lu Zhang, Lin Zhao, Wei Liu, Dajiang Zhu, Xin Xing, Fei Dou, Wei Zhang, Chao Huang, Rongjie Liu, Mengrui Zhang, Yiwen Liu, Xiaoxiao Sun, Qin Lu, Zhen Xiang, Wenxuan Zhong, Tianming Liu, Ping Ma
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	—	`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	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	—	`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`	Large Language Models for Bioinformatics. CoRR Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
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`	Oblique Genomics Mixture of Experts: Prediction of Brain Disorder with Aging-Related Changes of Brain's Structural Connectivity Under Genomic Influences. MICCAI (4) Yanjun Lyu, Jing Zhang, Lu Zhang, Wei Ruan, Tianming Liu, Dajiang Zhu
2025	—	`conf`	Unsupervised Cortical Surface Registration Network for Aligning Gyralnet. ISBI Jiale Cheng, Fenqiang Zhao, Dan Hu, Chao Cao, Zhengwang Wu, Xinrui Yuan, Kangfu Han, Lu Zhang, Tianming Liu, Dajiang Zhu, Gang Li
2025	J	`jnl`	Urban planning in the age of large language models: Assessing OpenAI o1's performance and capabilities across 556 tasks. Comput. Environ. Urban Syst. Xukai Zhao, He Huang, Tao Yang, Yuxing Lu, Lu Zhang, Ruoyu Wang, Zhengliang Liu, Tianyang Zhong, Tianming Liu
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`	BI-AVAN: A Brain-Inspired Adversarial Visual Attention Network for Characterizing Human Visual Attention From Neural Activity. IEEE Trans. Multim. Heng Huang, Lin Zhao, Haixing Dai, Lu 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	J	`jnl`	Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. IEEE Trans. Cogn. Dev. Syst. Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu
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`	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	—	`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	J	`jnl`	Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios. CoRR Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu
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`	Artificial General Intelligence for Medical Imaging. CoRR 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
2023	J	`jnl`	ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. CoRR 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
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`	Evaluating Large Language Models for Radiology Natural Language Processing. CoRR 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
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	—	`conf`	Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 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
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`	Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR 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
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`	Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. MICCAI (5) Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang
2023	—	`conf`	Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN. MICCAI (8) Xiang Gao, Xin Zhang, Lu Zhang, Xiangmin Xu, Dajiang Zhu
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	J	`jnl`	A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers. CoRR Yuzhong Chen, Yu Du, Zhenxiang Xiao, Lin Zhao, Lu Zhang, David Weizhong Liu, Dajiang Zhu, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang
2022	J	`jnl`	BI AVAN: Brain inspired Adversarial Visual Attention Network. CoRR Heng Huang, Lin Zhao, Xintao Hu, Haixing Dai, Lu Zhang, Dajiang Zhu, 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`	Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. CoRR Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu
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	J	`jnl`	Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR 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
2022	—	`conf`	Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. MLMI@MICCAI Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, 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
2022	J	`jnl`	Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. CoRR 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
2022	J	`jnl`	Predicting brain structural network using functional connectivity. Medical Image Anal. Lu Zhang, Li Wang, Dajiang Zhu, Alzheimer's Disease Neuroimaging Initiative
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
2021	J	`jnl`	Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu
2021	J	`jnl`	Representing Alzheimer's Disease Progression via Deep Prototype Tree. CoRR Lu Zhang, Li Wang, Dajiang Zhu
2020	—	`conf`	Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network. ISBI Lu Zhang, Li Wang, Dajiang Zhu
2020	—	`conf`	Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment. ISBI Li Wang, Lu Zhang, Dajiang Zhu
2020	—	`conf`	Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network. MICCAI (7) Lu Zhang, Li Wang, Dajiang Zhu
2019	—	`conf`	A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. MLMI@MICCAI Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu
2019	—	`conf`	Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning. ISBI Li Wang, Lu Zhang, Dajiang Zhu
2019	—	`conf`	Multi-modal Image Prediction via Spatial Hybrid U-Net. MMMI@MICCAI Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu