Zhenzhen Jin

30 papers C 1Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A new method for bearing remaining useful life prediction based on dynamic wavelet and physical information constraints.
Expert Syst. Appl.
Jiayang Zhao, Deqiang He, Zhenzhen Jin, Xingwu Zhang, Jixu Zhou
2026 J jnl
An interpretable causal invariant graph neural network for unseen domain gear fault diagnosis.
Eng. Appl. Artif. Intell.
Zhenpeng Lao, Gang Chen, Yiyue Zhang, Penghong Lu, Zhenzhen Jin
2026 J jnl
Generating diverse data based on FA-LoRA fine-tuning of diffusion models to enhance UAV forest fire detection performance.
Appl. Soft Comput.
Wentao Zhou, Deqiang He, Zhenzhen Jin, Zexian Wei, Haimeng Sun, Jinxin Wu, Yuan Zhuang, Baofu Qin, Qinzhan Wu
2026 J jnl
Guided by structure: boundary-aware modeling for moment retrieval and highlight detection.
Mach. Vis. Appl.
Bing Yu, Youxian Di, Zhenzhen Jin, Jingyu Li, Youdong Ding, Dongjin Huang
2026 J jnl
Hierarchical fault diagnosis of train communication networks based on cross-dimensional information fusion and mixture-of-head attention mechanism.
Reliab. Eng. Syst. Saf.
Deqiang He, Mi Liang, Jinxin Wu, Zhenzhen Jin, Yanjun Chen
2025 J jnl
AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions.
Reliab. Eng. Syst. Saf.
Deqiang He, Jinxin Wu, Zhenzhen Jin, Chenggeng Huang, Zexian Wei, Cai Yi
2025 J jnl
Bogie key components fault diagnosis utilizing multi-sensor tensor graphs and dual-attribute feature selection.
Eng. Appl. Artif. Intell.
Zexian Wei, Deqiang He, Zhenzhen Jin, Haimeng Sun, Jinxin Wu, Sheng Shan, Jian Miao, Cai Yi
2025 J jnl
DCAGGCN: A novel method for remaining useful life prediction of bearings.
Reliab. Eng. Syst. Saf.
Deqiang He, Jiayang Zhao, Zhenzhen Jin, Chenggeng Huang, Cai Yi, Jinxin Wu
2025 J jnl
LDCD-Net: lightweight dual-channel detection network for obstacles detection on rail transit.
Signal Image Video Process.
Mingchao Zhang, Deqiang He, Qi Liu, Jinxin Wu, Yuliang Qin, Zhenzhen Jin, Chonghui Ren
2025 J jnl
MSRNet-GLAM: A novel intrusion detection method for train communication network.
Simul. Model. Pract. Theory
Qilin Chen, Deqiang He, Zhenzhen Jin, Ziyang Ren, Tiexiang Liu, Sheng Shan
2025 J jnl
MT-ConvFormer: A Multitask Bearing Fault Diagnosis Method Using a Combination of CNN and Transformer.
IEEE Trans. Instrum. Meas.
Yufei Han, Fan Zhang, Zhaoqi Li, Qichen Wang, Chaofan Li, Pei Lai, Tianrui Li, Fei Teng, Zhenzhen Jin
2025 J jnl
Multi-scale dynamic spatio-temporal graph network for anomaly detection of wind turbine main bearing under time-varying conditions.
Eng. Appl. Artif. Intell.
Yang Fu, Jiachen Ma, Deqiang He, Zhenzhen Jin, Hongrui Cao, Bin Yu
2025 J jnl
Prediction of bearing remaining useful life based on a two-stage updated digital twin.
Adv. Eng. Informatics
Deqiang He, Jiayang Zhao, Zhenzhen Jin, Chenggeng Huang, Fan Zhang, Jinxin Wu
2024 J jnl
Direct Denoising of Fault Signal for Train Bogie Bearing Under Speed Change Condition.
IEEE Trans. Veh. Technol.
Zexian Wei, Deqiang He, Zhenzhen Jin, Haimeng Sun, Sheng Shan, Chang Liu, Cai Yi
2024 — conf
Explainable Deep Learning for Interpretable Brain Tumor Diagnosis from MRI Images.
ISDMCI (1)
Eduard Manziuk, Olexander Barmak, Iurii Krak, Nataliia Petliak, Zhenzhen Jin, Pavlo Radiuk
2024 J jnl
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network.
Knowl. Based Syst.
Yiling He, Deqiang He, Zhenpeng Lao, Zhenzhen Jin, Jian Miao, Zhiping Lai, Yanjun Chen
2024 J jnl
Learning spatial-temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit.
Expert Syst. Appl.
Jinxin Wu, Deqiang He, Zhenzhen Jin, Xianwang Li, Qin Li, Weibin Xiang
2024 J jnl
Research on flow scheduling of train communication based on time-sensitive network.
Simul. Model. Pract. Theory
Tiexiang Liu, Deqiang He, Zhenzhen Jin, Sheng Shan, Yanjun Chen, Qilin Chen
2024 J jnl
Unsupervised intrusion detection for rail transit based on anomaly segmentation.
Signal Image Video Process.
Yixin Shen, Deqiang He, Qi Liu, Zhenzhen Jin, Xianwang Li, Chonghui Ren
2024 — conf
Utility-Efficient Edge-Cloud Collaborative Space-Air-Ground Integrated Internet of Things.
ICCT
Tiexin Zhang, Yinyu Wu, Wenchao Liu, Chunjie Wang, Zhenzhen Jin, Xuhui Zhang, Yanyan Shen
2024 J jnl
Welding defect detection based on phased array images and two-stage segmentation strategy.
Adv. Eng. Informatics
Yan Chen, Deqiang He, Suiqiu He, Zhenzhen Jin, Jian Miao, Sheng Shan, Yanjun Chen
2023 — conf
AoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication.
ICCC Workshops
Wenchao Liu, Zhenzhen Jin, Xuhui Zhang, Weilin Zang, Shuqiang Wang, Yanyan Shen
2023 C conf
Blockchain-Empowered Space-Air-Ground Integrated Networks for Remote Internet of Things.
ICCC
Wenchao Liu, Junyu Wang, Huijun Xing, Zhenzhen Jin, Xuhui Zhang, Yanyan Shen
2023 J jnl
Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing.
IEEE Trans. Intell. Transp. Syst.
Zexian Wei, Deqiang He, Zhenzhen Jin, Bin Liu, Sheng Shan, Yanjun Chen, Jian Miao
2023 J jnl
Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy.
Digit. Signal Process.
Zhenzhen Jin, Yulong Xiao, Deqiang He, Zexian Wei, Yingqian Sun, Weifeng Yang
2023 J jnl
Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network.
Knowl. Based Syst.
Zhenpeng Lao, Deqiang He, Zhenzhen Jin, Chang Liu, Hui Shang, Yiling He
2023 J jnl
Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising.
Appl. Intell.
Zexian Wei, Deqiang He, Zhenzhen Jin, Sheng Shan, Xueyan Zou, Jian Miao, Chang Liu
2022 — conf
Cybertwin-Driven Multi-Intelligent Reflecting Surfaces aided Vehicular Edge Computing Leveraged by Deep Reinforcement Learning.
VTC Fall
Xuhui Zhang, Huijun Xing, Weilin Zang, Zhenzhen Jin, Yanyan Shen
2022 J jnl
Fault diagnosis of train rotating parts based on multi-objective VMD optimization and ensemble learning.
Digit. Signal Process.
Zhenzhen Jin, Deqiang He, Rui Ma, Xueyan Zou, Yanjun Chen, Sheng Shan
2022 J jnl
Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN.
Eng. Appl. Artif. Intell.
Zhenzhen Jin, Deqiang He, Zexian Wei