受强制性开放获取政策约束的文章 - Hancheng Ge了解详情
可在其他位置公开访问的文章：7 篇
Tensor completion algorithms in big data analytics
Q Song, H Ge, J Caverlee, X Hu
ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (1), 1-48, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Multi-aspect streaming tensor completion
Q Song, X Huang, H Ge, J Caverlee, X Hu
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Taper: A contextual tensor-based approach for personalized expert recommendation
H Ge, J Caverlee, H Lu
Proceedings of the 10th ACM Conference on Recommender Systems, 261-268, 2016
强制性开放获取政策： US National Science Foundation
Uncovering the spatio-temporal dynamics of memes in the presence of incomplete information
H Ge, J Caverlee, N Zhang, A Squicciarini
Proceedings of the 25th ACM International on Conference on Information and …, 2016
强制性开放获取政策： US National Science Foundation
What are you known for? Learning user topical profiles with implicit and explicit footprints
C Cao, H Ge, H Lu, X Hu, J Caverlee
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
强制性开放获取政策： US National Science Foundation
DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark
H Ge, K Zhang, M Alfifi, X Hu, J Caverlee
ICDE 2018, 2018
强制性开放获取政策： US Department of Defense
Low-rank decomposition meets kernel learning: A generalized Nyström method
L Lan, K Zhang, H Ge, W Cheng, J Liu, A Rauber, XL Li, J Wang, H Zha
Artificial Intelligence 250, 1-15, 2017
强制性开放获取政策： 国家自然科学基金委员会
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