CSpace

Browse/Search Results:  1-10 of 86 Help

Selected(0)Clear Items/Page:    Sort:
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 1, 页码: 92-107
Authors:  Qin, Wen;  Luo, Xin;  Zhou, Mengchu
Favorite  |  View/Download:10/0  |  Submit date:2024/05/06
Parallel algorithm  industrial application  latent feature analysis  high-dimensional and incomplete data  stochastic gradient descent  parallelization shared-memory  data science  
Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data Representation 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 卷号: 32, 期号: 2, 页码: 445-459
Authors:  Qin, Wen;  Luo, Xin
Favorite  |  View/Download:10/0  |  Submit date:2024/05/06
Training  Representation learning  Data models  Stochastic processes  Computational modeling  Analytical models  Proteins  Asynchronous parallelization  fuzzy optimization  high-dimensional incomplete (HDI) data  latent feature analysis (LFA)  shared-memory  stochastic gradient descent (SGD)  
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12
Authors:  Zhou, Songqi;  Li, Yang;  Wu, Wenyuan;  Li, Li
Favorite  |  View/Download:0/0  |  Submit date:2024/07/12
multi-task learning  scRNA-seq  cell annotation  protein prediction  low-dimensional embedding  
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12
Authors:  Zhou, Songqi;  Li, Yang;  Wu, Wenyuan;  Li, Li
Favorite  |  View/Download:1/0  |  Submit date:2024/07/12
multi-task learning  scRNA-seq  cell annotation  protein prediction  low-dimensional embedding  
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12
Authors:  Zhou, Songqi;  Li, Yang;  Wu, Wenyuan;  Li, Li
Favorite  |  View/Download:1/0  |  Submit date:2024/07/12
multi-task learning  scRNA-seq  cell annotation  protein prediction  low-dimensional embedding  
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12
Authors:  Zhou, Songqi;  Li, Yang;  Wu, Wenyuan;  Li, Li
Favorite  |  View/Download:1/0  |  Submit date:2024/07/12
multi-task learning  scRNA-seq  cell annotation  protein prediction  low-dimensional embedding  
Improving structure-based protein-ligand affinity prediction by graph representation learning and ensemble learning 期刊论文
PLOS ONE, 2024, 卷号: 19, 期号: 1, 页码: 21
Authors:  Guo, Jia
Favorite  |  View/Download:197/0  |  Submit date:2024/04/07
Neighbor importance-aware graph collaborative filtering for item recommendation 期刊论文
NEUROCOMPUTING, 2023, 卷号: 549, 页码: 12
Authors:  Wang, Qingxian;  Wu, Suqiang;  Bai, Yanan;  Liu, Quanliang;  Shi, Xiaoyu
Favorite  |  View/Download:16/0  |  Submit date:2023/12/25
Graph neural networks  Recommender system  Node importance  Collaborative filtering  Representation learning  
Multi-Task Learning for UAV Aerial Object Detection in Foggy Weather Condition 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 18
Authors:  Fang, Wenxuan;  Zhang, Guoqing;  Zheng, Yuhui;  Chen, Yuwen
Favorite  |  View/Download:15/0  |  Submit date:2023/12/25
UAV images  object detection  YOLO  foggy weather condition  
Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 4, 页码: 3027-3042
Authors:  Bi, Fanghui;  He, Tiantian;  Xie, Yuetong;  Luo, Xin
Favorite  |  View/Download:15/0  |  Submit date:2023/12/25
Cloud service  data science  graph neural network  high-dimensional and incomplete data  latent factor analysis  latent feature model  missing data estimation  non-euclidean data  representation learning  quality-of-service