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CASIA OpenIR

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生物集群能量高效利用机制研究综述 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 3, 页码: 431-449
作者:  吴晓阳;  邹尧;  付强;  贺威
Adobe PDF(5973Kb)  |  收藏  |  浏览/下载：7/2  |  提交时间：2024/04/10
生物集群  能量高效利用  节能机制  编队  
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：19/0  |  提交时间：2024/03/27
Contrastive learning  graph representation learning  multiplex graph  multiview graph clustering  
Deep Learning Based Occluded Person Re-Identification: A Survey 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 3, 页码: 27
作者:  Peng, Yunjie;  Wu, Jinlin;  Xu, Boqiang;  Cao, Chunshui;  Liu, Xu;  Sun, Zhenan;  He, Zhiqiang
收藏  |  浏览/下载：28/0  |  提交时间：2024/03/26
Occluded person re-identification  partial person re-identification  literature survey  deep learning  
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：6/0  |  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：33/0  |  提交时间：2024/02/22
Recurrent nasopharyngeal carcinoma  Re-radiotherapy  Nasopharyngeal necrosis  Radiomics  
Enhancing Person Re-Identification Performance Through In Vivo Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 639-654
作者:  Huang, Yan;  Huang, Yan;  Zhang, Zhang;  Wu, Qiang;  Zhong, Yi;  Wang, Liang
收藏  |  浏览/下载：19/0  |  提交时间：2024/02/20
Person re-identification  in vivo learning  boosting performance  
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
收藏  |  浏览/下载：58/0  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
Color-Unrelated Head-Shoulder Networks for Fine-Grained Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6, 页码: 21
作者:  Xu, Boqiang;  Liang, Jian;  He, Lingxiao;  Wu, Jinlin;  Fan, Chao;  Sun, Zhenan
收藏  |  浏览/下载：68/0  |  提交时间：2023/11/17
Person re-identification  fine-grained matching  visual surveillance  
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu;  Wang, Liang
收藏  |  浏览/下载：91/0  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning  
Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
收藏  |  浏览/下载：34/0  |  提交时间：2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning