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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	Joint hyperbolic and Euclidean geometry contrastive graph neural networks 期刊论文 INFORMATION SCIENCES, 2022, 卷号: 609, 页码: 799-815 作者:  Xu, Xiaoyu;  Pang, Guansong;  Wu, Di;  Shang, Mingsheng 收藏  |  浏览/下载：99/0  |  提交时间：2022/10/14 Graph neural networks  Hyperbolic embedding  Contrastive learning  Graph representation learning
	A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label 会议论文 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, July 20, 2019 - July 22, 2019 作者:  Luo, Mengzhen;  Shi, Xiaoyu;  Ji, Qianqian;  Shang, Mingsheng;  He, Xianbo;  Tao, Weiguo 收藏  |  浏览/下载：397/0  |  提交时间：2020/02/18
	A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 3, 页码: 909-920 作者:  Wu, Di;  Luo, Xin;  Wang, Guoyin;  Shang, Mingsheng;  Yuan, Ye;  Yan, Huyong 收藏  |  浏览/下载：214/0  |  提交时间：2018/06/04 Differential evolution (DE)  general framework  industrial application  positioning optimization  self-labeled  semi-supervised classification (SSC)
	Self-training semi-supervised classification based on density peaks of data 期刊论文 NEUROCOMPUTING, 2018, 卷号: 275, 页码: 180-191 作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Xu, Ji;  Yan, Huyong;  Deng, Weihui;  Wang, Guoyin 收藏  |  浏览/下载：169/0  |  提交时间：2018/03/05 Density peaks  Self-training  Semi-supervised classification  Supervised learning
	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：416/0  |  提交时间：2019/06/26
	A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution 会议论文 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018, Zhuhai, China, March 27, 2018 - March 29, 2018 作者:  Wu, Di;  Shang, Mingsheng;  Wang, Guoyin;  Li, Li 收藏  |  浏览/下载：128/0  |  提交时间：2019/06/25