Zobrazeno 1 - 10
of 492
pro vyhledávání: '"Lan, Liang"'
Autor:
Geng, Yu, Lan, Liang
Factorization Machines (FM), a general predictor that can efficiently model feature interactions in linear time, was primarily proposed for collaborative recommendation and have been broadly used for regression, classification and ranking tasks. Subs
Externí odkaz:
http://arxiv.org/abs/2108.07421
Publikováno v:
BMC Complementary Medicine and Therapies, Vol 23, Iss 1, Pp 1-23 (2023)
Abstract Objective This study aimed to explore the efficacy and safety of combining epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) with ZiLongJin Tablet (ZLJT) in delaying acquired resistance in advanced EGFR-mutant lung aden
Externí odkaz:
https://doaj.org/article/3823770dc37a47bf8865d464d9f65823
Publikováno v:
In Surface & Coatings Technology 15 May 2024 483
Autor:
Zhang, Weiguang, Gao, Shuang, Li, Shuijin, Lan, Liang, Zhang, Dongdong, Lu, Guoxin, Cui, Luqing, Li, Linzi, He, Bo
Publikováno v:
In Materials Science & Engineering A May 2024 900
Autor:
Zheng, Chao, Kang, Kai, Xie, Yucong, Yang, Xuanlin, Lan, Liang, Song, Hua, Han, Hao, Bai, Shupei
Publikováno v:
In Separation and Purification Technology 15 January 2024 329
Count-sketch is a popular matrix sketching algorithm that can produce a sketch of an input data matrix X in O(nnz(X))time where nnz(X) denotes the number of non-zero entries in X. The sketched matrix will be much smaller than X while preserving most
Externí odkaz:
http://arxiv.org/abs/2011.12046
Autor:
Lan, Weichao, Lan, Liang
Deep Convolutional Neural Networks (CNN) have been successfully applied to many real-life problems. However, the huge memory cost of deep CNN models poses a great challenge of deploying them on memory-constrained devices (e.g., mobile phones). One po
Externí odkaz:
http://arxiv.org/abs/2010.02778
Autor:
Lei, Zijian, Lan, Liang
Kernel approximation is widely used to scale up kernel SVM training and prediction. However, the memory and computation costs of kernel approximation models are still too high if we want to deploy them on memory-limited devices such as mobile phones,
Externí odkaz:
http://arxiv.org/abs/2010.02577
Autor:
Lei, Zijian, Lan, Liang
Subsampled Randomized Hadamard Transform (SRHT), a popular random projection method that can efficiently project a $d$-dimensional data into $r$-dimensional space ($r \ll d$) in $O(dlog(d))$ time, has been widely used to address the challenge of high
Externí odkaz:
http://arxiv.org/abs/2002.01628
Autor:
Morteza Sadeghi, Neda Mohamadzadeh, Lan Liang, Uditha Bandara, Marcellus M. Caldas, Tyler Hatch
Publikováno v:
Science of Remote Sensing, Vol 8, Iss , Pp 100105- (2023)
Over the past few years, the Optical Trapezoid Model (OPTRAM) has been widely used as a means for high-resolution mapping of surface soil moisture using optical satellite data. In this paper, we propose a new variant of OPTRAM that can map not only s
Externí odkaz:
https://doaj.org/article/b31e0b5b02884d2cad20309780d3cb93