Yanyun Pu

According to our database, Yanyun Pu authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Lightweight Pipeline Edge Detection Model Based on Heterogeneous Knowledge Distillation.

Chengyuan Zhu, Yanyun Pu, Zhuoling Lyu, Aonan Wu, Kaixiang Yang, Qinmin Yang

IEEE Trans. Circuits Syst. II Express Briefs, December, 2024

A Novel Multiscale Transformer Network Framework for Natural Gas Consumption Forecasting.

Yanyun Pu, Chengyuan Zhu, Kaixiang Yang, Zhuoling Lü, Qinmin Yang

IEEE Trans. Ind. Informatics, August, 2024

A Novel Visual Transformer for Long-Distance Pipeline Pattern Recognition in Complex Environment.

Chengyuan Zhu, Yanyun Pu, Kaixiang Yang, Qinmin Yang, C. L. Philip Chen

IEEE Trans. Artif. Intell., June, 2024

Two-Stage Intrusion Events Recognition for Vibration Signals From Distributed Optical Fiber Sensors.

Zhuoling Lyu, Chengyuan Zhu, Yanyun Pu, Zuan Chen, Kaixiang Yang, Qinmin Yang

IEEE Trans. Instrum. Meas., 2024

Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety.

Chengyuan Zhu, Yanyun Pu, Zhuoling Lyu, Kaixiang Yang, Qinmin Yang

Knowl. Based Syst., 2024

Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing.

Chengyuan Zhu, Yanyun Pu, Yiyuan Yang, Zhuoling Lyu, Chao Li, Qinmin Yang

Adv. Eng. Informatics, 2024

2023

Distributed Optical Fiber Intrusion Detection by Image Encoding and SwinT in Multi-Interference Environment of Long-Distance Pipeline.

Chengyuan Zhu, Yanyun Pu, Kaixiang Yang, Qinmin Yang, C. L. Philip Chen

IEEE Trans. Instrum. Meas., 2023

A Novel AMSS-FFN for Underwater Multisource Localization Using Artificial Lateral Line.

Yanyun Pu, Chengyuan Zhu, Kaixiang Yang, Huan Hu, Qinmin Yang

IEEE Trans. Instrum. Meas., 2023

Long-Distance Pipeline Intrusion Warning Based on Environment Embedding from Distributed Optical Fiber Sensing.

Chengyuan Zhu, Yanyun Pu, Zhuoling Lyu, Jiren Qian, Kaixiang Yang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023