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Indirect estimation of pediatric reference interval via density graph deep embedded clustering 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10
作者:  Zheng, Jianguo;  Tang, Yongqiang;  Peng, Xiaoxia;  Zhao, Jun;  Chen, Rui;  Yan, Ruohua;  Peng, Yaguang;  Zhang, Wensheng
收藏  |  浏览/下载：35/0  |  提交时间：2024/03/27
Reference interval  Reference interval  Indirect estimation  Indirect estimation  Machine learning  Machine learning  Deep neural networks  Deep neural networks  Graph clustering  Graph clustering  
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study 期刊论文
ECLINICALMEDICINE, 2023, 卷号: 65, 页码: 14
作者:  Zhao, Kun;  Chen, Pindong;  Alexander-Bloch, Aaron;  Wei, Yongbin;  Dyrba, Martin;  Yang, Fan;  Kang, Xiaopeng;  Wang, Dawei;  Fan, Dongsheng;  Ye, Shan;  Tang, Yi;  Yao, Hongxiang;  Zhou, Bo;  Lu, Jie;  Yu, Chunshui;  Wang, Pan;  Liao, Zhengluan;  Chen, Yan;  Huang, Longjian;  Zhang, Xi;  Han, Ying;  Li, Shuyu;  Liu, Yong
收藏  |  浏览/下载：47/0  |  提交时间：2024/02/22
Alzheimer's disease  Neuroimaging biomarker  Multisite  Specific  Longitudinal progression  
Multi-modal spatial relational attention networks for visual question answering 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 13
作者:  Yao, Haibo;  Wang, Lipeng;  Cai, Chengtao;  Sun, Yuxin;  Zhang, Zhi;  Luo, Yongkang
收藏  |  浏览/下载：78/0  |  提交时间：2024/02/22
Visual question answering  Spatial relation  Attention mechanism  Pre -training strategy  
IEEE ITSC 2022 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 卷号: 15, 期号: 6, 页码: 237-242
作者:  Zhang, Nan;  Wu, Naiqi;  Li, Lingxi;  Tian, Yonglin;  Wang, Xiao
收藏  |  浏览/下载：18/0  |  提交时间：2024/02/22
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 期刊论文
Brain research, 2024, 卷号: 1823, 页码: 13
作者:  Chen, Pindong;  Zhang, Shirui;  Zhao, Kun;  Kang, Xiaopeng;  Rittman, Timothy;  Liu, Yong
收藏  |  浏览/下载：72/0  |  提交时间：2024/02/22
Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven  
Adaptive-weighted deep multi-view clustering with uniform scale representation 期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 114-126
作者:  Chen, Rui;  Tang, Yongqiang;  Zhang, Wensheng;  Feng, Wenlong
收藏  |  浏览/下载：65/0  |  提交时间：2024/02/21
Multi-view clustering  Deep clustering  Adaptive-weighted learning  Uniform scale representation  
VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 9, 页码: 4198-4207
作者:  Tian, Yonglin;  Li, Xuan;  Zhang, Hui;  Zhao, Chen;  Li, Bai;  Wang, Xiao;  Wang, Xiao;  Wang, Fei-Yue
收藏  |  浏览/下载：166/0  |  提交时间：2023/12/21
Transformers  Task analysis  Autonomous vehicles  Planning  Biological system modeling  Navigation  Automation  Generative parallel transformers  end-to-end driving  transport automation  large-language models  federation of vehicular transformers  scenario engineering  
PuzzleNet: Boundary-Aware Feature Matching for Non-Overlapping 3D Point Clouds Assembly 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 3, 页码: 492-509
作者:  Liu, Hao-Yu;  Guo, Jian-Wei;  Jiang, Hai-Yong;  Liu, Yan-Chao;  Zhang, Xiao-Peng;  Yan, Dong-Ming
Adobe PDF(7448Kb)  |  收藏  |  浏览/下载：81/2  |  提交时间：2023/12/21
shape assembly  3D registration  geometric learning  boundary feature  point cloud  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：57/3  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9357-9373
作者:  Tang, Yongqiang;  Xie, Yuan;  Zhang, Wensheng
收藏  |  浏览/下载：70/0  |  提交时间：2023/11/17
Affine subspace  low-rank representation  low-rank tensor  multi-view learning  subspace clustering