Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Qinghao Hu"'
Autor:
Qinghao Hu, Xuejia Hu, Yang Shi, Li Liang, Jiaomeng Zhu, Shukun Zhao, Yifan Wang, Zezheng Wu, Fubing Wang, Fuling Zhou, Yi Yang
Publikováno v:
Lab on a Chip. 23:2206-2216
It offers a new strategy for the fabrication of functionalized structures for a variety of bionic tissue models.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f82a70cc440c124a9b8a790fa6b7450c
https://doi.org/10.1039/d3lc00122a
https://doi.org/10.1039/d3lc00122a
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:4110-4124
Hashing is a popular search algorithm for its compact binary representation and efficient Hamming distance calculation. Benefited from the advance of deep learning, deep hashing methods have achieved promising performance. However, those methods usua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52cccab9196a52cd339b01f50a6549d3
https://doi.org/10.1109/tnnls.2021.3055834
https://doi.org/10.1109/tnnls.2021.3055834
Publikováno v:
Lab on a Chip. 22:3942-3951
Microlens arrays (MLAs) are key micro-optical components that possess a high degree of parallelism and ease of integration. However, rapid and low-cost fabrication of MLAs with flexible focusing remains a challenge. Herein, liquid MLAs with dynamic t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d658287a44825590fe87cd610c6c692
https://doi.org/10.1039/d2lc00603k
https://doi.org/10.1039/d2lc00603k
Publikováno v:
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2af06cdf17892f4981d3ab18ba333b51
https://doi.org/10.1145/3575693.3575705
https://doi.org/10.1145/3575693.3575705
Publikováno v:
Analytical chemistry. 94(43)
Microlens arrays (MLAs) are acquiring a key role in the micro-optical system, which have been widely applied in the fields of imaging processing, light extraction, biochemical sensing, and display technology. Compared with solid MLAs, liquid MLAs hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::092034f535dd7f99a5b7942dc04c7f36
https://pubmed.ncbi.nlm.nih.gov/36263633
https://pubmed.ncbi.nlm.nih.gov/36263633
Autor:
Xuejia Hu, Jingjing Zheng, Qinghao Hu, Li Liang, Dongyong Yang, Yanxiang Cheng, Sen-Sen Li, Lu-Jian Chen, Yi Yang
Publikováno v:
Biofabrication. 14(4)
Precise and flexible three-dimensional (3D) cell construct assembly using external forces or fields can produce micro-scale cellular architectures with intercellular connections, which is an important prerequisite to reproducing the structures and fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4a8e45d75427b50e945be8f1a6d35ad
https://pubmed.ncbi.nlm.nih.gov/35764072
https://pubmed.ncbi.nlm.nih.gov/35764072
Vision Transformers has demonstrated competitive performance on computer vision tasks benefiting from their ability to capture long-range dependencies with multi-head self-attention modules and multi-layer perceptron. However, calculating global atte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4490a3a2dbf5fa00cec1f1c4cd91dcee
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab36eb98204a867354473a09aada4653
https://doi.org/10.1007/978-3-031-20083-0_19
https://doi.org/10.1007/978-3-031-20083-0_19
While local-window self-attention performs notably in vision tasks, it suffers from limited receptive field and weak modeling capability issues. This is mainly because it performs self-attention within non-overlapped windows and shares weights on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07550140ceace970613612824d340777
Publikováno v:
SC
Modern GPU datacenters are critical for delivering Deep Learning (DL) models and services in both the research community and industry. When operating a datacenter, optimization of resource scheduling and management can bring significant financial ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68392aa6cbb84f2c52356c7d81a691be
https://doi.org/10.1145/3458817.3476223
https://doi.org/10.1145/3458817.3476223