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of 262
pro vyhledávání: '"He,Lirong"'
Temporal knowledge graph reasoning (TKGR) is increasingly gaining attention for its ability to extrapolate new events from historical data, thereby enriching the inherently incomplete temporal knowledge graphs. Existing graph-based representation lea
Externí odkaz:
http://arxiv.org/abs/2408.07911
Learning with imbalanced data is a challenging problem in deep learning. Over-sampling is a widely used technique to re-balance the sampling distribution of training data. However, most existing over-sampling methods only use intra-class information
Externí odkaz:
http://arxiv.org/abs/2302.10910
Autor:
Han, Xiaochi, Jiang, Ming, Li, Huaxing, Li, Rongjie, Sulaiman, Nashwan H.M., Zhang, Tao, Li, Hongjiao, Zheng, Lirong, Wei, Jiake, He, Lirong, Zhou, Xuemei
Publikováno v:
In Journal of Colloid And Interface Science July 2024 665:204-218
Stein variational gradient descent (SVGD) and its variants have shown promising successes in approximate inference for complex distributions. In practice, we notice that the kernel used in SVGD-based methods has a decisive effect on the empirical per
Externí odkaz:
http://arxiv.org/abs/2107.09338
Recent studies show that advanced priors play a major role in deep generative models. Exemplar VAE, as a variant of VAE with an exemplar-based prior, has achieved impressive results. However, due to the nature of model design, an exemplar-based model
Externí odkaz:
http://arxiv.org/abs/2107.09286
Autor:
Lv, Yu, Huang, Xiaobo, Wu, Jiayu, Xiao, Xueqin, Ma, Chunhua, Jiang, Xiaoyun, Zhou, Ping, Liu, Linlin, Jiang, Yiguo, Zou, Anna, Niu, Hui, Sun, Juhua, Hou, Li, Wang, Xiaomeng, Dai, Yulin, Peng, Shuling, Deng, Xiaorong, Xia, Hong, Guo, Yao, Wang, Defen, Huang, Ting, Li, Chunyu, He, Lirong, Xiong, Fengqing, Xiong, Hongmei, Cao, Hongmei, Lu, Jie, Liu, Xingfeng, Jian, Xiaohong, Luo, Wanzhen, An, Yanmei, Wu, Yumei, Deng, Keqin, Kang, Xiaoli, Chen, Xiaorong, Tang, Beibei, Li, Li, Xiang, Qian
Publikováno v:
In Journal of Infection February 2024 88(2):112-122
Autor:
Liao, Xiaomei1 (AUTHOR) liaoxm@szu.edu.cn, He, Lirong2 (AUTHOR) 2200271008@email.szu.edu.cn, Mao, Jiayou2 (AUTHOR) 2210274040@email.szu.edu.cn, Xu, Meng2 (AUTHOR) m.xu@szu.edn.cn
Publikováno v:
Remote Sensing. May2024, Vol. 16 Issue 10, p1688. 20p.
Autor:
He Lirong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Amidst the swift advancements in information technology, university-level English education encounters both challenges and opportunities for innovation. This study is dedicated to the development of a system tailored for precise teaching strategies i
Externí odkaz:
https://doaj.org/article/a354b3fe8c2148689707230f0555bc2d
Mutual Information (MI) plays an important role in representation learning. However, MI is unfortunately intractable in continuous and high-dimensional settings. Recent advances establish tractable and scalable MI estimators to discover useful repres
Externí odkaz:
http://arxiv.org/abs/2005.01123
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