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Yihan Jia

Publications

Citations

Publications by Year

20242024

Co-Authors:

Nan CuiIvan GanchevShengnan HaoZhanlin JiJianuo Liu

Show All Co-Authors (15)

Yihan Jia

Affiliation

State Key Laboratory of Information Photonics and Optical Communications

School of Electronic Engineering

Beijing University of Posts and Telecommunications (BUPT), Beijing, China

Publication Topics

Polarization Beam Splitter,
Analog Circuits,
Average F1-score,
Average Recall,
Bottom Graph,
Bounding Box,
Breast Cancer,
Breast Tumors,
Changes In Polarity,
Classification Model,
Classification Of Breast Cancer,
Classification Of Breast Tumors

Biography

Yihan Jia was born in 2001. She received the bachelor’s degree in engineering from Hebei Science and Technology Normal University, in 2022. She is currently pursuing the master’s degree with North China University of Science and Technology. Her research interests include computer vision and medical image processing.(Based on document published on 19 August 2024).

Publications

Citations

Publications by Year

20242024

Co-Authors:

Nan Cui
Ivan Ganchev
Shengnan Hao
Zhanlin Ji
Jianuo Liu

Show All Co-Authors (15)

Author's Published Works

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Showing 1-3 of 3 results

Conferences (2)

Journals (1)

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Yihan Jia(3)
Xiaoguang Zhang(2)
Lixia Xi(2)
Chong Wang(2)
Linan Shan(2)
State Key Laboratory of Information Photonics and Optical Communications, School of Electronic Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing, China(2)
College of Mathematics and Computer Science, Zhejiang Agriculture and Forestry University, Hangzhou, China(1)
Department of Artificial Intelligence, North China University of Science and Technology, Tangshan, China(1)
Telecommunications Research Centre (TRC), University of Limerick, Limerick, Ireland(1)
Department of Computer Systems, University of Plovdiv “Paisii Hilendarski”, Plovdiv, Bulgaria(1)
2024 Conference on Lasers and Electro-Optics (CLEO)(2)
IEEE Access(1)
IEEE(3)
Charlotte, NC, USA(2)
Polarization Beam Splitter(2)
Analog Circuits(1)
Average F1-score(1)
Average Recall(1)
Bottom Graph(1)

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Optical Domain SOP Monitoring up to 5Mrad/s in Long-Haul WDM Transmission Systems

Linan Shan;Xiaoguang Zhang;Wanxin Zhao;Guanghao Yao;Yihan Jia;Shuning Sun;Chong Wang;Lixia Xi;Xiaosheng Xiao;Nan Cui

2024 Conference on Lasers and Electro-Optics (CLEO)

Year: 2024 | Conference Paper |

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We propose a simple structure for monitoring SOP in optical-domain, which can monitor SOP of 500rad/s~5Mrad/s within 4% error, with tolerance of more than 25840 ps/nm CD and 4ps PMD in 1520km long-haul WDM systems.Show More

Optical Domain SOP Monitoring up to 5Mrad/s in Long-Haul WDM Transmission Systems

Linan Shan;Xiaoguang Zhang;Wanxin Zhao;Guanghao Yao;Yihan Jia;Shuning Sun;Chong Wang;Lixia Xi;Xiaosheng Xiao;Nan Cui

2024 Conference on Lasers and Electro-Optics (CLEO)

Year: 2024 | Conference Paper |

High Speed SOP Tracking Added by an Optical Domain Polarization Demultiplexing Prototype in Short Range Coherent Optical Communication System

Wanxin Zhao;Linan Shan;Yihan Jia;Chong Wang;Shuning Sun;Xiaoguang Zhang;Lixia Xi

2024 Conference on Lasers and Electro-Optics (CLEO)

Year: 2024 | Conference Paper |

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We demonstrated a SOP tracking in a 10km coherent optical communication system, added by an optical-domain polarization demultiplexing prototype. The updating time interval of CMA taps is greatly lengthened about 25 times with 600krad/s SOP.Show More

High Speed SOP Tracking Added by an Optical Domain Polarization Demultiplexing Prototype in Short Range Coherent Optical Communication System

Wanxin Zhao;Linan Shan;Yihan Jia;Chong Wang;Shuning Sun;Xiaoguang Zhang;Lixia Xi

2024 Conference on Lasers and Electro-Optics (CLEO)

Year: 2024 | Conference Paper |

ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization

Shengnan Hao;Yihan Jia;Jianuo Liu;Zhiwu Wang;Chunling Liu;Zhanlin Ji;Ivan Ganchev

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

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Breast cancer is the second deadliest cancer (after lung cancer) globally among women, with high incidence and mortality rates. Its early diagnosis is pivotal for improving the cure rate. With the continuous development and maturity of deep learning technologies, traditional classification models have been widely applied for automated classification of pathological images. However, several challen...Show More

ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization

Shengnan Hao;Yihan Jia;Jianuo Liu;Zhiwu Wang;Chunling Liu;Zhanlin Ji;Ivan Ganchev

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

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