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ORCIDShu Zhang 0001
张树
Person information
- unicode name: 张树
- affiliation: Deepwise Healthcare, AI Lab, Beijing, China
- affiliation: Northwestern Polytechnical University, School of Computer Science, Xian, China
- affiliation (PhD 2018): University of Georgia, Cortical Architecture Imaging and Discovery Lab, USA
Other persons with the same name
- Shu Zhang — disambiguation page
- Shu Zhang 0002
![[0000-0002-5873-634X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5873-634X")
— Ocean University of China, Qingdao, China - Shu Zhang 0003 — Chongqing University, School of Economics and Business Adminstration, China (and 1 more)
- Shu Zhang 0004 — Fujitsu Research & Development Center, Beijing, China
- Shu Zhang 0005 — Shandong University, Qingdao, China
- Shu Zhang 0006 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 1 more)
- Shu Zhang 0007 — Salesforce Research, Inc. (and 1 more)
- Shu Zhang 0008 — Tongji University, Shanghai, China
- Shu Zhang 0009 — Nanjing University, Nanjing, China
- Shu Zhang 0010 — National Institute of Information and Communications Technology, Tokyo, Japan
- Shu Zhang 0011 — Yunnan Normal University, School of Information Science and Technology, Key Laboratory of Education Informatization for Nationalities, MoE, Kunming, China
- Shu Zhang 0012 — Huaihai Institute of Technology, Business School, Lianyungang, Jiangsu, China
- Shu Zhang 0013 — Tencent, Tencent AI Lab, Shenzhen, China
- Shu Zhang 0014 — Stanford University, Center for Personal Dynamic Regulomes, CA, USA (and 1 more)
- Shu Zhang 0015 — Chinese Academy of Sciences, National Laboratory of Pattern Recognition, NLPR, Institute of Automation, Beijing, China (and 1 more)
- Shu Zhang 0016 — Wuhan Business University, Research Center of Cultural and Tourism Industries, Hubei, China
- Shu Zhang 0017 — Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Shu Zhang 0018 — Fuzhou University, College of Mathematics and Computer Science, China
- Shu Zhang 0019 — Xi'an Jiaotong University, Department of Ophthalmology, Department of Geriatric Surgery, School of Information and Communications Engineering, Second Affiliated Hospital, China
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2020 – today
- 2025
[j33]Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Ruoyang Wang, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang:
Identifying influential nodes in brain networks via self-supervised graph-transformer. Comput. Biol. Medicine 186: 109629 (2025)- [j32]Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge:
Understanding LLMs: A comprehensive overview from training to inference. Neurocomputing 620: 129190 (2025) - 2024
- [j31]Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation". IEEE Trans. Medical Imaging 43(2): 899 (2024) - [c40]Xuhui Wang, Kui Zhao, Enze Shi, Sigang Yu, Geng Chen, Shu Zhang:
ST-GF: Graph-based Fusion of Spatial and Temporal Features for EEG Motor Imagery Decoding. BIBM 2024: 3811-3816 - [c39]Haotian Jiang, Shu Zhang, Xuyun Wen, Hui Cui, Jun Lu, Islem Rekik, Jiquan Ma, Geng Chen:
Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. ISBI 2024: 1-5 - [i22]Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge:
Understanding LLMs: A Comprehensive Overview from Training to Inference. CoRR abs/2401.02038 (2024) - [i21]Jiaqi Wang, Zihao Wu, Yiwei Li, Hanqi Jiang, Peng Shu, Enze Shi, Huawen Hu, Chong Ma, Yiheng Liu, Xuhui Wang, Yincheng Yao, Xuan Liu, Huaqin Zhao, Zhengliang Liu, Haixing Dai, Lin Zhao, Bao Ge, Xiang Li, Tianming Liu, Shu Zhang:
Large Language Models for Robotics: Opportunities, Challenges, and Perspectives. CoRR abs/2401.04334 (2024) - [i20]Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang:
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. CoRR abs/2408.01319 (2024) - [i19]Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Xuhui Wang, Xuan Liu, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang:
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer. CoRR abs/2409.11174 (2024) - [i18]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:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - [i17]Jiaqi Wang, Huan Zhao, Zhenyuan Yang, Peng Shu, Junhao Chen, Haobo Sun, Ruixi Liang, Shixin Li, Pengcheng Shi, Ma Longjun, Zongjia Liu, Zhengliang Liu, Tianyang Zhong, Yutong Zhang, Chong Ma, Xin Zhang, Tuo Zhang, Tianli Ding, Yudan Ren, Tianming Liu, Xi Jiang, Shu Zhang:
Legal Evalutions and Challenges of Large Language Models. CoRR abs/2411.10137 (2024) - 2023
- [j30]Ning Qiang, Jie Gao, Qinglin Dong, Huiji Yue, Hongtao Liang, Lili Liu, Jingjing Yu, Jing Hu, Shu Zhang, Bao Ge, Yifei Sun, Zhengliang Liu, Tianming Liu, Jin Li, Hujie Song, Shijie Zhao:
Functional brain network identification and fMRI augmentation using a VAE-GAN framework. Comput. Biol. Medicine 165: 107395 (2023) - [j29]Lei Du, Huiai Wang, Jin Zhang, Shu Zhang, Lei Guo, Junwei Han:
Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification. Sci. China Inf. Sci. 66(4) (2023) - [j28]Yudan Ren, Huan Liu, Shu Zhang, Jinglei Lv:
Editorial: Computational modeling methods for naturalistic neuroimaging data. Frontiers Comput. Neurosci. 17 (2023) - [j27]Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu:
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training. Neurocomputing 529: 11-22 (2023) - [j26]Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao:
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. Neural Networks 165: 1035-1049 (2023) - [c38]Shengbo Gao, Ziji Zhang, Jiechao Ma, Zihao Li, Shu Zhang:
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation. MICCAI (1) 2023: 98-108 - [c37]Shu Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Huawen Hu, Haiyang Zhang:
Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark. MICCAI (8) 2023: 163-172 - [c36]Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonai Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, Tuo Zhang:
Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. MICCAI (2) 2023: 287-296 - [i16]Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li:
ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. CoRR abs/2304.08448 (2023) - [i15]Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Prompt Engineering for Healthcare: Methodologies and Applications. CoRR abs/2304.14670 (2023) - [i14]Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, Shu Zhang, Yuanxu Gao, Jia Pan, Jun Shao, Guangming Lu, Kang Zhang, Weimin Li:
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. CoRR abs/2306.00864 (2023) - [i13]Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Review of Large Vision Models and Visual Prompt Engineering. CoRR abs/2307.00855 (2023) - [i12]Shengbo Gao, Ziji Zhang, Jiechao Ma, Zihao Li, Shu Zhang:
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2307.06312 (2023) - [i11]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:
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR abs/2307.13693 (2023) - [i10]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:
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. CoRR abs/2310.05242 (2023) - [i9]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:
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) - 2022
- [j25]Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao:
Learning brain representation using recurrent Wasserstein generative adversarial net. Comput. Methods Programs Biomed. 223: 106979 (2022) - [j24]Jiadong Yan, Yuzhong Chen, Zhenxiang Xiao, Shu Zhang, Mingxin Jiang, Tianqi Wang, Tuo Zhang, Jinglei Lv, Benjamin Becker, Rong Zhang, Dajiang Zhu, Junwei Han, Dezhong Yao, Keith M. Kendrick, Tianming Liu, Xi Jiang:
Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs). Medical Image Anal. 80: 102518 (2022) - [j23]Tianji Pang, Shijie Zhao, Junwei Han, Shu Zhang, Lei Guo, Tianming Liu:
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition. Medical Image Anal. 82: 102570 (2022) - [j22]Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Cheng Zhang, Jie Gao, Yifei Sun:
A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder. Neural Comput. Appl. 34(10): 7815-7833 (2022) - [j21]Chengdi Wang, Jiechao Ma, Shu Zhang, Jun Shao, Yanyan Wang, Hong-Yu Zhou, Lujia Song, Jie Zheng, Yizhou Yu, Weimin Li:
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. npj Digit. Medicine 5 (2022) - [c35]Jiaxing Gao, Changhe Li, Zhibin He, Yaonai Wei, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions. ISBI 2022: 1-5 - [c34]Changhe Li, Jiaxing Gao, Zhibin He, Songyao Zhang, Yaonai Wei, Lei Du, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. ISBI 2022: 1-5 - [i8]Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu:
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training. CoRR abs/2201.01426 (2022) - 2021
- [j20]Qin Tao, Yajing Si, Fali Li, Peiyang Li, Yuqin Li, Shu Zhang, Feng Wan, Dezhong Yao, Peng Xu:
Decision-Feedback Stages Revealed by Hidden Markov Modeling of EEG. Int. J. Neural Syst. 31(7): 2150031:1-2150031:19 (2021) - [j19]Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu:
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation. Medical Image Anal. 72: 102117 (2021) - [j18]Qinmei Xu, Xianghao Zhan, Zhen Zhou, Yiheng Li, Peiyi Xie, Shu Zhang, Xiuli Li, Yizhou Yu, Changsheng Zhou, Longjiang Zhang, Olivier Gevaert, Guangming Lu:
AI-based analysis of CT images for rapid triage of COVID-19 patients. npj Digit. Medicine 4 (2021) - [j17]Dingwen Zhang, Jiajia Zhang, Qiang Zhang, Jungong Han, Shu Zhang, Junwei Han:
Automatic pancreas segmentation based on lightweight DCNN modules and spatial prior propagation. Pattern Recognit. 114: 107762 (2021) - [j16]Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu:
Deep Variational Autoencoder for Mapping Functional Brain Networks. IEEE Trans. Cogn. Dev. Syst. 13(4): 841-852 (2021) - [j15]Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation. IEEE Trans. Medical Imaging 40(8): 2042-2052 (2021) - [c33]Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu:
CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. ICIP 2021: 91-95 - [c32]Mingxin Jiang, Shimin Yang, Zhongbo Zhao, Jiadong Yan, Yuzhong Chen, Tuo Zhang, Shu Zhang, Benjamin Becker, Keith M. Kendrick, Xi Jiang:
Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks. MLMI@MICCAI 2021: 130-139 - [c31]Jiadong Yan, Yuzhong Chen, Shimin Yang, Shu Zhang, Mingxin Jiang, Zhongbo Zhao, Tuo Zhang, Yu Zhao, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks. MICCAI (7) 2021: 564-573 - [c30]Jiadong Yan, Yu Zhao, Mingxin Jiang, Shu Zhang, Tuo Zhang, Shimin Yang, Yuzhong Chen, Zhongbo Zhao, Zhibin He, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks. PRCV (3) 2021: 350-361 - [i7]Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation. CoRR abs/2104.10326 (2021) - [i6]Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu:
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation. CoRR abs/2106.01544 (2021) - 2020
- [j14]Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv:
Supervised Brain Network Learning Based on Deep Recurrent Neural Networks. IEEE Access 8: 69967-69978 (2020) - [j13]Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu:
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10(2): 72-82 (2020) - [c29]Mingxin Jiang, Shimin Yang, Jiadong Yan, Shu Zhang, Huan Liu, Lin Zhao, Haixing Dai, Jinglei Lv, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. MLMI@MICCAI 2020: 250-259 - [c28]Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang:
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. MLMI@MICCAI 2020: 465-473 - [c27]Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu:
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. MICCAI (4) 2020: 542-551 - [i5]Yimin Hou, Shuyue Jia, Shu Zhang, Xiangmin Lun, Yan Shi, Yang Li, Hanrui Yang, Rui Zeng, Jinglei Lv:
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition. CoRR abs/2005.00777 (2020) - [i4]Xiangmin Lun, Shuyue Jia, Yimin Hou, Yan Shi, Yang Li, Hanrui Yang, Shu Zhang, Jinglei Lv:
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals. CoRR abs/2006.08924 (2020) - [i3]Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu:
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. CoRR abs/2012.08770 (2020)
2010 – 2019
- 2019
- [j12]Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu:
Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. 54: 238-252 (2019) - [j11]Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu:
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66(1): 289-299 (2019) - [j10]Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu:
Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. 66(5): 1297-1308 (2019) - [c26]Wenjie Yang, Houjing Huang, Zhang Zhang, Xiaotang Chen, Kaiqi Huang, Shu Zhang:
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification. CVPR 2019: 1389-1398 - [c25]Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang:
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. CVPR 2019: 1999-2007 - [c24]Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu:
Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI 2019: 1585-1589 - [c23]Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu:
MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection. MICCAI (6) 2019: 13-21 - [c22]Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu:
From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network. MICCAI (6) 2019: 477-485 - [c21]Zhuo Wang, Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang:
Semi-supervised Lesion Detection with Reliable Label Propagation and Missing Label Mining. PRCV (2) 2019: 291-302 - [i2]Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang:
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. CoRR abs/1904.04357 (2019) - [i1]Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu:
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection. CoRR abs/1909.04247 (2019) - 2018
- [j9]Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu:
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage 180(Part): 350-369 (2018) - [j8]Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu:
Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Trans. Biomed. Eng. 65(6): 1183-1192 (2018) - [j7]Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu:
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 65(9): 1975-1984 (2018) - [c20]Shu Zhang, Tuo Zhang, Xiao Li, Lei Guo, Tianming Liu:
Joint representation of cortical folding, structural connectivity and functional networks. ISBI 2018: 1-5 - [c19]Huan Liu, Shijie Zhao, Xi Jiang, Shu Zhang, Xintao Hu, Lei Quo, Tianming Liu:
Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning. ISBI 2018: 70-73 - [c18]Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu:
Modeling task fMRI data via mixture of deep expert networks. ISBI 2018: 82-86 - [c17]Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu:
Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. ISBI 2018: 127-131 - [c16]Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu:
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls. MICCAI (3) 2018: 172-180 - [c15]Shu Zhang, Tianming Liu, Dajiang Zhu:
Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity. MICCAI (3) 2018: 357-366 - 2017
- [c14]Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu:
A novel framework for groupwise registration of fMRI images based on common functional networks. ISBI 2017: 485-489 - [c13]Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu:
Predicting cortical 3-hinge locations via structural connective features. ISBI 2017: 533-537 - [c12]Shu Zhang, Xiang Li, Lei Guo, Tianming Liu:
Exploring human brain activation via nested sparse coding and functional operators. ISBI 2017: 947-951 - [c11]Huan Liu, Mianzhi Zhang, Xintao Hu, Yudan Ren, Shu Zhang, Junwei Han, Lei Guo, Tianming Liu:
FMRI data classification based on hybrid temporal and spatial sparse representation. ISBI 2017: 957-960 - [c10]Shu Zhang, Xi Jiang, Tianming Liu:
Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains. MICCAI (1) 2017: 398-406 - 2016
- [j6]Tuo Zhang, Dajiang Zhu, Xi Jiang, Shu Zhang, Zhifeng Kou, Lei Guo, Tianming Liu:
Group-wise consistent cortical parcellation based on connectional profiles. Medical Image Anal. 32: 32-45 (2016) - [j5]Yimin Hou, Ting Xiao, Shu Zhang, Xi Jiang, Xiang Li, Xintao Hu, Junwei Han, Lei Guo, L. Stephen Miller, Richard Neupert, Tianming Liu:
Predicting Movie Trailer Viewer's "Like/Dislike" via Learned Shot Editing Patterns. IEEE Trans. Affect. Comput. 7(1): 29-44 (2016) - [c9]Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu:
Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation. ICME 2016: 1-6 - [c8]Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu:
Modeling Functional Dynamics of Cortical Gyri and Sulci. MICCAI (1) 2016: 19-27 - [c7]Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Shu Zhang, Mary Ellen Lynch, Claire Coles, Lei Guo, Xiaoping Hu, Tianming Liu:
A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure. MICCAI (1) 2016: 28-36 - 2015
- [j4]Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, Jing Zhang, Lei Guo, Tianming Liu:
Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical Image Anal. 20(1): 112-134 (2015) - [j3]Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Shu Zhang, Shijie Zhao, Hanbo Chen, Tuo Zhang, Xintao Hu, Junwei Han, Jieping Ye, Lei Guo, Tianming Liu:
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function. IEEE Trans. Biomed. Eng. 62(4): 1120-1131 (2015) - [c6]Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu:
Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning. ISBI 2015: 675-678 - [c5]Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu:
Signal sampling for efficient sparse representation of resting state FMRI data. ISBI 2015: 1360-1363 - 2014
- [j2]Tuo Zhang, Hanbo Chen, Lei Guo, Kaiming Li, Longchuan Li, Shu Zhang, Dinggang Shen, Xiaoping Hu, Tianming Liu:
Characterization of U-shape streamline fibers: Methods and applications. Medical Image Anal. 18(5): 795-807 (2014) - [c4]Zhichao Lian, Xiang Li, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Shu Zhang, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang:
Exploring functional brain dynamics via a Bayesian connectivity change point model. ISBI 2014: 600-603 - [c3]Shu Zhang, Xintao Hu, Jinglei Lv, Tuo Zhang, Xiang Li, Xi Jiang, Lei Guo, Tianming Liu:
Learning fMRI-guided predictor of video shot changes. ISBI 2014: 1210-1213 - 2013
- [j1]Yixuan Yuan, Xi Jiang, Dajiang Zhu, Hanbo Chen, Kaiming Li, Peili Lv, Xiang Yu, Xiaojin Li, Shu Zhang, Tuo Zhang, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu:
Meta-Analysis of Functional Roles of DICCCOLs. Neuroinformatics 11(1): 47-63 (2013) - [c2]Shu Zhang, Jinglei Lv, Xiang Li, Xi Jiang, Lei Guo, Tianming Liu:
Activated cliques: Network-based activation detection in task-based FMRI. ISBI 2013: 274-277 - [c1]Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu:
Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data. MICCAI (3) 2013: 626-634
Coauthor Index
[j32] [i22] [i21] [i20] [i18] [i17] [j30] [j26] [c36] [i16] [i15] [i13] [i11] [i10] [i9] [j25] [j24] [j23] [j16] [c31] [c30] [j14] [j13] [c29] [c28] [j12] [j11] [j10] [c24] [j9] [j8] [j7] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j6] [j5] [c9] [c8] [c7] [j4] [j3] [c6] [c5] [j2] [c4] [c3] [j1] [c2] [c1]
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