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Yang Lu - IEEE Xplore Author Profile
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Yang Lu

Publications
2
Citations
1
Publications by Year
20202024
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Yang Lu

Affiliation

School of Instrumentation and Optoelectronics Engineering
Beihang University
Beijing, China

Publication Topics

Biography

Yang Lu received the bachelor’s degree from Anhui University, Hefei, China, in 2023. He is currently pursuing the master’s degree with the School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.,His research interests include the analysis of integrated optical gyro circuits.(Based on document published on 30 September 2024).
Publications
2
Citations
1
Publications by Year
20202024
Co-Authors:
Show All Co-Authors (8)
Author's Published Works

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Interferometric Optical Gyroscope Based on Hybrid Integrated Optical Transceiver Module

Xinyu Li;Wenxuan Pei;Yang Lu;Di Feng;Hongchen Jiao;Zhen Zhou;Lishuang Feng

IEEE Sensors Journal
Year: 2024 | Volume: 24, Issue: 22 | Journal Article |
Cited by: Papers (1)
This study develops an integrated optical gyroscope that is based on a hybrid integrated optical transceiver module. An integrated optical module on the same chip simultaneously integrates the chip-level broad spectrum laser light source, photodetector (PD), and coupler through a single-mode fiber optic connection with the subsequent system. After packaging, the size of the entire module is $38.2...Show More

Interferometric Optical Gyroscope Based on Hybrid Integrated Optical Transceiver Module

Xinyu Li;Wenxuan Pei;Yang Lu;Di Feng;Hongchen Jiao;Zhen Zhou;Lishuang Feng

Year: 2024 | Volume: 24, Issue: 22 | Journal Article |

Small Components Parsing VIA Multi-Feature Fusion Network

Zhiying Leng;Yang Lu;Xiaohui Liang

2020 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2020 | Conference Paper |
Part parsing is a fundamental task towards fine image understanding in the multimedia and visual field. At present, the researchers working on part parsing focus on objects with large components, such as human, car. This paper centers on segmenting objects with small components. We call it small components parsing. In this paper, we propose a novel strategy for small components parsing, fusing mul...Show More

Small Components Parsing VIA Multi-Feature Fusion Network

Zhiying Leng;Yang Lu;Xiaohui Liang

Year: 2020 | Conference Paper |

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