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Yilin Ren - IEEE Xplore Author Profile
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Yilin Ren

Publications
4
Citations
4
Publications by Year
20212024
Co-Authors:
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Yilin Ren

Affiliation

Yantai Research Institute
Harbin Engineering University
Yantai, China

Publication Topics

Biography

Yilin Ren is currently pursuing the Ph.D. degree in optical engineering with the Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing, China.(Based on document published on 27 October 2023).
Publications
4
Citations
4
Publications by Year
20212024
Co-Authors:
Show All Co-Authors (18)
Author's Published Works

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Brain Waves Unleashed: Illuminating Neonatal Seizure Detection via Multi-scale Hierarchical Modeling

Bingheng Pang;Zhuoxuan Liang;Wei Li;Xiangxu Meng;Chenhao Wang;Yilin Ren

2024 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2024 | Conference Paper |
Neonatal seizures are a prevalent clinical manifestation of neurological disorders and can potentially impact the neurodevelopment of the infant’s brain. Accurate and timely detection of neonatal epilepsy is crucial for early diagnosis and treatment. However, because of the complexity of newborn brains and signal instability, current seizure detection methods often produce false positives and nega...Show More

Brain Waves Unleashed: Illuminating Neonatal Seizure Detection via Multi-scale Hierarchical Modeling

Bingheng Pang;Zhuoxuan Liang;Wei Li;Xiangxu Meng;Chenhao Wang;Yilin Ren

Year: 2024 | Conference Paper |

Multi-agent Cross-domain Traffic Engineering for Diverse Service Requirements in 6G Networks

Yilin Ren;Xinchen Lyu;Xiaofeng Tao

2024 IEEE/CIC International Conference on Communications in China (ICCC)
Year: 2024 | Conference Paper |
Cross-domain traffic engineering, which aims to optimize traffic flow across various network domains, is the key technique for meeting the diverse Quality of Service (QoS) requirements of various emerging 6 G applications, such as holographic communication, immersive XR, and intelligent interaction. Existing researches on traffic engineering have leveraged reinforcement learning to foster efficien...Show More

Multi-agent Cross-domain Traffic Engineering for Diverse Service Requirements in 6G Networks

Yilin Ren;Xinchen Lyu;Xiaofeng Tao

Year: 2024 | Conference Paper |

Correlation-Changed-EMD Algorithm for Single Frequency-Sweep Interferometry Signal of High-Speed Rotating Structure Clearance Measurement

Yilin Ren;Peng Zhang;Bin Shao;Xianming Liu;Xiaohua Lei;Hao Liu;Wenfei Zou

IEEE Sensors Journal
Year: 2023 | Volume: 23, Issue: 23 | Journal Article |
Cited by: Papers (4)
Frequency-sweep interferometry (FSI) technology enables high-speed axial clearance measurements but is subject to errors caused by the Doppler effect. Adding auxiliary paths to eliminate the Doppler effect may cause slower measurement speed and low accuracy. In this article, the characteristics of the axial clearance variations are analyzed. Subsequently, a correlation-changed empirical mode decom...Show More

Correlation-Changed-EMD Algorithm for Single Frequency-Sweep Interferometry Signal of High-Speed Rotating Structure Clearance Measurement

Yilin Ren;Peng Zhang;Bin Shao;Xianming Liu;Xiaohua Lei;Hao Liu;Wenfei Zou

Year: 2023 | Volume: 23, Issue: 23 | Journal Article |

Construction of Online Distance Learning Risk Prediction Model Based on Data Mining

Oixin Xu;Yilin Ren;Yan Liang;Ming Liu;Caiqiang Li;Li Liu

2021 Tenth International Conference of Educational Innovation through Technology (EITT)
Year: 2021 | Conference Paper |
As distance learning becomes more popular, it is increasingly important to model learner learning risk predictions in order to reduce the risk of failing a course and motivate learning. We collected 13,000 online students' background information and online learning behavior data of two different courses from a training and continuing education institution in Chongqing. We adopted SMOTE Sampling an...Show More

Construction of Online Distance Learning Risk Prediction Model Based on Data Mining

Oixin Xu;Yilin Ren;Yan Liang;Ming Liu;Caiqiang Li;Li Liu

Year: 2021 | Conference Paper |

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