中国科学院重庆绿色智能技术研究院机构知识库

（本次检索基于用户作品认领结果）

浏览/检索结果: 共6条，第1-6条

帮助

限定条件	作者：罗辛    第一作者

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次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
	Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 5, 页码: 1105-1121 作者:  Zhou, Yue;  Luo, Xin;  Zhou, MengChu 收藏  |  浏览/下载：12/0  |  提交时间：2023/12/25 Measurement  Systematics  Protocols  Big Data  Market research  Cryptocurrency  Blockchains  Big data analysis  cryptocurrency transaction network embedding (CTNE)  dynamic network  network embedding  network representation  static network
	Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks 期刊论文 IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 卷号: 9, 期号: 5, 页码: 3675-3690 作者:  Wang, Qingxian;  Liu, Xinyu;  Shang, Tianqi;  Liu, Zhigang;  Yang, Han;  Luo, Xin 收藏  |  浏览/下载：54/0  |  提交时间：2022/10/14 Symmetric matrices  Symbols  Matrix decomposition  Context modeling  Task analysis  Periodic structures  Electronic mail  Community detection  network embedding  non-negative matrix factorization  non-negative model and alternating direction method of multipliers
	An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文 IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022 作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Shang, Mingsheng Adobe PDF(805Kb)  |  收藏  |  浏览/下载：414/0  |  提交时间：2019/06/26
	Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107 作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng Adobe PDF(803Kb)  |  收藏  |  浏览/下载：426/0  |  提交时间：2018/03/05 Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network
	Highly Efficient Framework for Predicting Interactions Between Proteins 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743 作者:  You, Zhu-Hong;  Zhou, MengChu;  Luo, Xin;  Li, Shuai Adobe PDF(1407Kb)  |  收藏  |  浏览/下载：218/0  |  提交时间：2018/03/15 Big data  feature extraction  kernel extreme learning machine (K-ELM)  low-rank approximation (LRA)  protein-protein interactions (PPIs)  support vector machine (SVM)
	Regularizaed extraction of non-negative latent factors from high-dimensional sparse matrices 会议论文 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9, 2016 - October 12, 2016 作者:  Luo, Xin;  Li, Shuai;  Zhou, Mengchu Adobe PDF(764Kb)  |  收藏  |  浏览/下载：89/0  |  提交时间：2018/03/16