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pro vyhledávání: '"Dong, Rui"'
Autor:
Dong, Rui
In this paper we present an algorithm for computing the matrix representation $\Delta_{q, \mathrm{up}}^{K, L}$ of the up persistent Laplacian $\triangle_{q, \mathrm{up}}^{K, L}$ over a pair of non-branching and orientation-compatible simplicial compl
Externí odkaz:
http://arxiv.org/abs/2408.16741
Click-through rate (CTR) prediction plays an important role in online advertising platforms. Most existing methods use data from the advertising platform itself for CTR prediction. As user behaviors also exist on many other platforms, e.g., media pla
Externí odkaz:
http://arxiv.org/abs/2407.18472
Autor:
Simonian, Tigran, Roy, Ahin, Bajaj, Akash, Dong, Rui, Lei, Zheng, Sofer, Zdeněk, Sanvito, Stefano, Nicolosi, Valeria
Thermoelectric materials are of great interest for heat energy harvesting applications. One such promising material is TlGaSe$_{2}$, a p-type semiconducting ternary chalcogenide. Recent reports show it can be processed as a thin film, opening the doo
Externí odkaz:
http://arxiv.org/abs/2405.20739
Autor:
Dong, Rui
Typological databases in linguistics are usually categorical-valued. As a result, it is difficult to have a clear visualization of the data. In this paper, we describe a workflow to analyze the topological shapes of South American languages by applyi
Externí odkaz:
http://arxiv.org/abs/2403.15440
Autor:
Weichselbaumer, Nikolaus, Seuret, Mathias, Limbach, Saskia, Dong, Rui, Burghardt, Manuel, Christlein, Vincent
Books printed before 1800 present major problems for OCR. One of the mainobstacles is the lack of diversity of historical fonts in training data. The OCR-D project, consisting of book historians and computer scientists, aims to address this deficienc
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A91685
https://ul.qucosa.de/api/qucosa%3A91685/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A91685/attachment/ATT-0/
Autor:
Zhang, Mo-Han, Gao, Fei, Lorentzen, Aleksander Bach, Ren, Ya-Ning, Zhang, Ruo-Han, Zhou, Xiao-Feng, Dong, Rui, Gao, Shi-Wu, Brandbyge, Mads, He, Lin
It has long been an ultimate goal to introduce chemical doping at the atomic level to precisely tune properties of materials. Two-dimensional materials have natural advantage because of its highly-exposed surface atoms, however, it is still a grand c
Externí odkaz:
http://arxiv.org/abs/2311.06515
We propose a new synthesis algorithm that can efficiently search programs with local variables (e.g., those introduced by lambdas). Prior bottom-up synthesis algorithms are not able to evaluate programs with free local variables, and therefore cannot
Externí odkaz:
http://arxiv.org/abs/2311.03705
Autor:
WANG Yutong, ZHU Weiguo, SUN Xueqin, TONG Jiali, ZHOU Jingya, ZHAO Qing, LI Bocheng, ZHANG Wei, LIU Xiaokun, DONG Rui, XIE Chen, HAN Ding
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 5, Pp 1069-1076 (2024)
ObjectiveTo analyze the factors affecting the cost of hospitalization for patients and provide insights using the intrauterine lesion surgery group (DRG code NE19) as an example.MethodsThis study was a retrospective cross-sectional study, with data f
Externí odkaz:
https://doaj.org/article/8e536502b38e454fb0902e38a2cb7272
Autor:
Pu, Kevin, Yang, Jim, Yuan, Angel, Ma, Minyi, Dong, Rui, Wang, Xinyu, Chen, Yan, Grossman, Tovi
Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders. Web automation increases productivity, but translating tasks to web actions accurately and extending to new specifications is challenging
Externí odkaz:
http://arxiv.org/abs/2308.05828
Autor:
Ouyang, Wentao, Dong, Rui, Zhang, Xiuwu, Guo, Chaofeng, Luo, Jinmei, Liu, Xiangzheng, Du, Yanlong
Conversion rate (CVR) prediction plays an important role in advertising systems. Recently, supervised deep neural network-based models have shown promising performance in CVR prediction. However, they are data hungry and require an enormous amount of
Externí odkaz:
http://arxiv.org/abs/2307.05974