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Zhenzhen Jin
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2020 – today
- 2025
- [j13]Qilin Chen, Deqiang He, Zhenzhen Jin, Ziyang Ren, Tiexiang Liu, Sheng Shan:
MSRNet-GLAM: A novel intrusion detection method for train communication network. Simul. Model. Pract. Theory 138: 103040 (2025) - 2024
- [j12]Yan Chen, Deqiang He, Suiqiu He, Zhenzhen Jin, Jian Miao, Sheng Shan, Yanjun Chen:
Welding defect detection based on phased array images and two-stage segmentation strategy. Adv. Eng. Informatics 62: 102879 (2024) - [j11]Jinxin Wu, Deqiang He, Zhenzhen Jin, Xianwang Li, Qin Li, Weibin Xiang:
Learning spatial-temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit. Expert Syst. Appl. 245: 123091 (2024) - [j10]Yiling He, Deqiang He, Zhenpeng Lao, Zhenzhen Jin, Jian Miao, Zhiping Lai, Yanjun Chen:
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network. Knowl. Based Syst. 294: 111746 (2024) - [j9]Tiexiang Liu, Deqiang He, Zhenzhen Jin, Sheng Shan, Yanjun Chen, Qilin Chen:
Research on flow scheduling of train communication based on time-sensitive network. Simul. Model. Pract. Theory 130: 102859 (2024) - [j8]Yixin Shen, Deqiang He, Qi Liu, Zhenzhen Jin, Xianwang Li, Chonghui Ren:
Unsupervised intrusion detection for rail transit based on anomaly segmentation. Signal Image Video Process. 18(2): 1079-1087 (2024) - [j7]Zexian Wei, Deqiang He, Zhenzhen Jin, Haimeng Sun, Sheng Shan, Chang Liu, Cai Yi:
Direct Denoising of Fault Signal for Train Bogie Bearing Under Speed Change Condition. IEEE Trans. Veh. Technol. 73(11): 16582-16592 (2024) - 2023
- [j6]Zexian Wei, Deqiang He, Zhenzhen Jin, Sheng Shan, Xueyan Zou, Jian Miao, Chang Liu:
Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising. Appl. Intell. 53(21): 24671-24688 (2023) - [j5]Zhenzhen Jin, Yulong Xiao, Deqiang He, Zexian Wei, Yingqian Sun, Weifeng Yang:
Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy. Digit. Signal Process. 133: 103884 (2023) - [j4]Zhenpeng Lao, Deqiang He, Zhenzhen Jin, Chang Liu, Hui Shang, Yiling He:
Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network. Knowl. Based Syst. 274: 110634 (2023) - [j3]Zexian Wei, Deqiang He, Zhenzhen Jin, Bin Liu, Sheng Shan, Yanjun Chen, Jian Miao:
Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing. IEEE Trans. Intell. Transp. Syst. 24(6): 6053-6064 (2023) - [c3]Wenchao Liu, Zhenzhen Jin, Xuhui Zhang, Weilin Zang, Shuqiang Wang, Yanyan Shen:
AoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication. ICCC Workshops 2023: 1-6 - [c2]Wenchao Liu, Junyu Wang, Huijun Xing, Zhenzhen Jin, Xuhui Zhang, Yanyan Shen:
Blockchain-Empowered Space-Air-Ground Integrated Networks for Remote Internet of Things. ICCC 2023: 1-6 - 2022
- [j2]Zhenzhen Jin, Deqiang He, Rui Ma, Xueyan Zou, Yanjun Chen, Sheng Shan:
Fault diagnosis of train rotating parts based on multi-objective VMD optimization and ensemble learning. Digit. Signal Process. 121: 103312 (2022) - [j1]Zhenzhen Jin, Deqiang He, Zexian Wei:
Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN. Eng. Appl. Artif. Intell. 110: 104713 (2022) - [c1]Xuhui Zhang, Huijun Xing, Weilin Zang, Zhenzhen Jin, Yanyan Shen:
Cybertwin-Driven Multi-Intelligent Reflecting Surfaces aided Vehicular Edge Computing Leveraged by Deep Reinforcement Learning. VTC Fall 2022: 1-7
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