Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shicheng Zu"'
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::179e30be35e504bab1cc2c3528d1d4e9
https://doi.org/10.1109/ssci51031.2022.10022267
https://doi.org/10.1109/ssci51031.2022.10022267
Publikováno v:
2022 8th International Conference on Control, Automation and Robotics (ICCAR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::521d3a7fb601930df5e0ced7e913ed70
https://doi.org/10.1109/iccar55106.2022.9782626
https://doi.org/10.1109/iccar55106.2022.9782626
Autor:
Xiulai Wang, Shicheng Zu
Publikováno v:
International Journal on Natural Language Computing. 8:29-48
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdd0d90bf4442307aee5300015fed004
https://doi.org/10.5121/ijnlc.2019.8503
https://doi.org/10.5121/ijnlc.2019.8503
Publikováno v:
ISEEIE
We have witnessed drastic progress in object detection in recent years due to the development of neural networks. Most mainstream object detectors are inclined to detect objects of regular scale because their detection depends on deep convolutional f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a2ced9e3c9c54def647271156d51c8
https://doi.org/10.1145/3459104.3459141
https://doi.org/10.1145/3459104.3459141
Publikováno v:
2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications (CTISC).
Since most state-of-the-art road mappers pose the road network extraction as a binary segmentation trained on the RGB dataset, our proposed ‘RoadRouter’ system pushes the frontier by classifying the roads into seven categories based on the SpaceN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::512c9c918915a618838c13d60293262c
https://doi.org/10.1109/ctisc49998.2020.00031
https://doi.org/10.1109/ctisc49998.2020.00031
Autor:
Shicheng Zu
In recent years, we have witnessed the rapid development of deep neural networks and distributed representations in natural language processing. However, the applications of neural networks in resume parsing lack systematic investigation. In this stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::329c6612ea7ea6a7c15fa6a3672cf4bb
Autor:
Di Wu1, Meng Jiao1, Shicheng Zu1, Sollecito, Christopher C.1, Jimenez-Cowell, Kevin1, Mold, Alexander J.1, Kennedy, Ryan M.1, Qize Wei1 qwei3@fordham.edu
Publikováno v:
Journal of Biological Chemistry. 12/5/2014, Vol. 289 Issue 49, p34033-34048. 16p.