中国科学院重庆绿色智能技术研究院机构知识库

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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择WOS被引频次升序WOS被引频次降序题名升序题名降序期刊影响因子升序期刊影响因子降序作者升序作者降序发表日期升序发表日期降序提交时间升序提交时间降序
	A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 卷号: 17, 期号: 3, 页码: 733-746 作者:  Bi, Fanghui;  He, Tiantian;  Luo, Xin 收藏  |  浏览/下载：31/0  |  提交时间：2024/08/16 Knowledge acquisition  data science  high-dimensional and incomplete data  neural network  fast nonnegative AutoEncoder  latent feature analysis  link prediction  network representation learning
	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 作者:  Bi, Fanghui;  He, Tiantian;  Xie, Yuetong;  Luo, Xin 收藏  |  浏览/下载：37/0  |  提交时间：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
	Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406 作者:  Bi, Fanghui;  Luo, Xin;  Shen, Bo;  Dong, Hongli;  Wang, Zidong 收藏  |  浏览/下载：28/0  |  提交时间：2023/12/25 Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis(NLFA)  proximal alternating direction method of multipliers  representation learning