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CASIA OpenIR

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Clustering Enhanced Multiplex Graph Contrastive Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Yuan, Ruiwen;  Tang, Yongqiang;  Wu, Yajing;  Zhang, Wensheng
收藏  |  浏览/下载：32/0  |  提交时间：2024/03/27
Contrastive learning  graph representation learning  multiplex graph  multiview graph clustering  
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：24/0  |  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  
Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A 期刊论文
THROMBOSIS RESEARCH, 2023, 卷号: 232, 页码: 43-53
作者:  Ai, Di;  Cui, Chang;  Tang, Yongqiang;  Wang, Yan;  Zhang, Ningning;  Zhang, Chenyang;  Zhen, Yingzi;  Li, Gang;  Huang, Kun;  Liu, Guoqing;  Chen, Zhenping;  Zhang, Wensheng;  Wu, Runhui
收藏  |  浏览/下载：15/0  |  提交时间：2024/03/26
Haemophilia  Children  Machine learning  Bleeding predictive modelling  Physical activity  
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study 期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 13
作者:  Liu, Ting;  Dong, Di;  Zhao, Xun;  Ou, Xiao-Min;  Yi, Jun-Lin;  Guan, Jian;  Zhang, Ye;  Xiao-Fei, Lv;  Xie, Chuan-Miao;  Luo, Dong-Hua;  Sun, Rui;  Chen, Qiu-Yan;  Xing, Lv;  Guo, Shan-Shan;  Liu, Li-Ting;  Lin, Da-Feng;  Chen, Yan-Zhou;  Lin, Jie-Yi;  Luo, Mei-Juan;  Yan, Wen-Bin;  He, Mei-Lin;  Mao, Meng-Yuan;  Zhu, Man-Yi;  Chen, Wen-Hui;  Shen, Bo-Wen;  Wang, Shi-Qian;  Li, Hai-Lin;  Zhong, Lian-Zhen;  Hu, Chao-Su;  Wu, De-Hua;  Mai, Hai-Qiang;  Tian, Jie;  Tang, Lin-Quan
收藏  |  浏览/下载：55/0  |  提交时间：2024/02/22
Recurrent nasopharyngeal carcinoma  Re-radiotherapy  Nasopharyngeal necrosis  Radiomics  
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
收藏  |  浏览/下载：48/0  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
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：48/0  |  提交时间：2024/02/21
Multi-view clustering  Deep clustering  Adaptive-weighted learning  Uniform scale representation  
Deep learning models of ultrasonography significantly improved the differential diagnosis performance for superficial soft-tissue masses: a retrospective multicenter study 期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 11
作者:  Long, Bin;  Zhang, Haoyan;  Zhang, Han;  Chen, Wen;  Sun, Yang;  Tang, Rui;  Lin, Yuxuan;  Fu, Qiang;  Yang, Xin;  Cui, Ligang;  Wang, Kun
收藏  |  浏览/下载：69/0  |  提交时间：2023/12/21
Superficial soft-tissue masses  Deep learning model  Ultrasound  Diagnosis  Computer-assisted diagnosis  
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
收藏  |  浏览/下载：39/0  |  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：57/0  |  提交时间：2023/11/17
Affine subspace  low-rank representation  low-rank tensor  multi-view learning  subspace clustering  
Constrained Maximum Cross-Domain Likelihood for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Lin, Jianxin;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
收藏  |  浏览/下载：110/0  |  提交时间：2023/11/17
Optimization  Feature extraction  Metalearning  Entropy  Training  Hospitals  Task analysis  Distribution shift  domain adaptation  domain generalization  domain-invariant representation  joint distribution alignment