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CASIA OpenIR
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Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：15/4  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：17/4  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records  
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：38/0  |  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  
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：67/0  |  提交时间：2024/02/21
Multi-view clustering  Deep clustering  Adaptive-weighted learning  Uniform scale representation  
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：59/4  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
Semisupervised Progressive Representation Learning for Deep Multiview Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Xie, Yuan;  Feng, Wenlong;  Zhang, Wensheng
收藏  |  浏览/下载：115/0  |  提交时间：2023/11/17
Representation learning  Training  Data models  Task analysis  Complexity theory  Semisupervised learning  Optimization  Deep clustering  multiview clustering  progressive sample learning  semisupervised learning  
Two-layer partitioned and deletable deep bloom filter for large-scale membership query 期刊论文
INFORMATION SYSTEMS, 2023, 卷号: 119, 页码: 13
作者:  Zeng, Meng;  Zou, Beiji;  Zhang, Wensheng;  Yang, Xuebing;  Kong, Guilan;  Kui, Xiaoyan;  Zhu, Chengzhang
收藏  |  浏览/下载：106/0  |  提交时间：2023/11/16
Learned bloom filter  Membership query  Deep learning  K-means cluster  Perfect hash function  
Ship Detection in High-Resolution Optical Remote Sensing Images Aided by Saliency Information 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 期号: 0, 页码: 0
作者:  Zhida, Ren;  Yongqiang, Tang;  Zewen, He;  Lei, Tian;  Yang, Yang;  Wensheng, Zhang
Adobe PDF(3882Kb)  |  收藏  |  浏览/下载：219/38  |  提交时间：2022/04/22
Deep learning  ship detection  saliency detection  high-resolution optical images  remote sensing  
Joint Deep Multi-View Learning for Image Clustering 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 11, 页码: 3594-3606
作者:  Xie, Yuan;  Lin, Bingqian;  Qu, Yanyun;  Li, Cuihua;  Zhang, Wensheng;  Ma, Lizhuang;  Wen, Yonggang;  Tao, Dacheng
收藏  |  浏览/下载：234/0  |  提交时间：2021/11/03
Clustering methods  Feature extraction  Electronic mail  Correlation  Learning systems  Clustering algorithms  Machine learning  Multi-view clustering  deep learning  multi-view fusion  
Deep convolutional self-paced clustering 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Tian, Lei;  Zhang, Caixia;  Zhang, Wensheng
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：271/50  |  提交时间：2021/11/02
Deep clustering  Convolutional autoencoder  Local structure preservation  Self-paced learning