Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jilan Lin"'
Autor:
Feng Lin, Jiarui Han, Teng Xue, Jilan Lin, Shenggen Chen, Chaofeng Zhu, Han Lin, Xianyang Chen, Wanhui Lin, Huapin Huang
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Many studies report predictions for cognitive function but there are few predictions in epileptic patients; therefore, we established a workflow to efficiently predict outcomes of both the Mini-Mental State Examination (MMSE) and Montreal Co
Externí odkaz:
https://doaj.org/article/d06ade1ce43f4535aa529274a46757e4
Autor:
Feng Lin, Wanhui Lin, Chaofeng Zhu, Jilan Lin, Junge Zhu, Xu-Ying Li, Zhanjun Wang, Chaodong Wang, Huapin Huang
Publikováno v:
BMC Medical Genomics, Vol 14, Iss 1, Pp 1-8 (2021)
Abstract Background Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease with neuronal cell inclusions composed of neurofilaments and other abnormal aggregative proteins as pathological hallmarks. Approximately 90% of patien
Externí odkaz:
https://doaj.org/article/cd0b5198e3b1446ca8569dc63bcc28d2
Autor:
Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
Publikováno v:
Proceedings of the VLDB Endowment. 16:1615-1628
Many relational data in our daily life are represented as graphs, making graph application an important workload. Because of the large scale of graph datasets, moving graph data to the cloud becomes a popular option. To keep the confidential and priv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ae05b9fd2040683b97fe375a6191cca
https://doi.org/10.14778/3587136.3587138
https://doi.org/10.14778/3587136.3587138
Autor:
Zheng Qu, Bangyan Wang, Jilan Lin, Lei Deng, Yuan Xie, Ling Liang, Guoqi Li, Hengnu Chen, Zheng Zhang
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:372-385
In recent years, tensor computation has become a promising tool for solving big data analysis, machine learning, medical image and EDA problems. To ease the memory and computation intensity of tensor processing, decomposition techniques, especially T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b18d7a1c94d88cac5602098ef27a3e3
https://doi.org/10.1109/tcad.2021.3058317
https://doi.org/10.1109/tcad.2021.3058317
Autor:
Qingfa Chen, Huayao Huang, Guangliang Chen, Jianhua Chen, Fangshuang Fang, Hanhan Lei, Yixian Zhang, Jilan Lin, Xiuyun Chen, Nan Liu, Jing Li, Ronghua Chen, Houwei Du
Publikováno v:
Cerebrovascular Diseases. 51:706-711
Introduction: Cerebellum might be active during the task of swallowing. Little is known whether cerebellar repetitive transcranial magnetic stimulation (rTMS) could improve post-stroke dysphagia (PSD) due to occlusion in the posterior circulation. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b53228534acee1d3945088b3e63d97
https://doi.org/10.1159/000524241
https://doi.org/10.1159/000524241
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40:2049-2062
Emerging resistive random access memory (RRAM) has shown the great potential of in-memory processing capability, and thus attracts considerable research interests in accelerating memory-intensive applications, such as neural networks (NNs). However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a5d9f8c157d9d8871f1f3cf3d07fc0f
https://doi.org/10.1109/tcad.2020.3037316
https://doi.org/10.1109/tcad.2020.3037316
Autor:
Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
Publikováno v:
Proceedings of the 49th Annual International Symposium on Computer Architecture.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ded14e08bcc7f64d6b9f0aa132a83bab
https://doi.org/10.1145/3470496.3527433
https://doi.org/10.1145/3470496.3527433
Publikováno v:
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f895d8b5a3560da749958a87d1addf
https://doi.org/10.1109/iccad51958.2021.9643434
https://doi.org/10.1109/iccad51958.2021.9643434
Publikováno v:
MICRO
Extreme classification (XC) is the essential component of large-scale Deep Learning Systems for a wide range of application domains, including image recognition, language modeling, and recommendation. As classification categories keep scaling in real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce36f66ff09ccc48ca37144d4455ba15
https://doi.org/10.1145/3466752.3480090
https://doi.org/10.1145/3466752.3480090
Autor:
Abanti Basak, Zeshan A. Chishti, Jilan Lin, Zheng Qu, Yuan Xie, Alaa R. Alameldeen, Yufei Ding
Publikováno v:
MICRO
Streaming graphs are ubiquitous in today’s big data era. Prior work has improved the performance of streaming graph workloads without taking input characteristics into account. In this work, we demonstrate that input knowledge-driven software and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8c18b918e297dc6401f0d7cec60f7ec
https://doi.org/10.1145/3466752.3480096
https://doi.org/10.1145/3466752.3480096