Cybertwin-Driven Multi-Intelligent Reflecting Surfaces aided Vehicular Edge Computing Leveraged by Deep Reinforcement Learning. - Xuhui Zhang; Huijun Xing; Weilin Zang; Zhenzhen Jin; Yanyan Shen (VTC Fall, 2022)

Fault diagnosis of train rotating parts based on multi-objective VMD optimization and ensemble learning. - Zhenzhen Jin; Deqiang He; Rui Ma; Xueyan Zou; Yanjun Chen 002; Sheng Shan (Digit. Signal Process., 2022)

Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN. - Zhenzhen Jin; Deqiang He; Zexian Wei (Eng. Appl. Artif. Intell., 2022)

AoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication. - Wenchao Liu; Zhenzhen Jin; Xuhui Zhang; Weilin Zang; Shuqiang Wang; Yanyan Shen (ICCC Workshops, 2023)

Blockchain-Empowered Space-Air-Ground Integrated Networks for Remote Internet of Things. - Wenchao Liu; Junyu Wang; Huijun Xing; Zhenzhen Jin; Xuhui Zhang; Yanyan Shen (ICCC, 2023)

Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network. - Zhenpeng Lao; Deqiang He; Zhenzhen Jin; Chang Liu; Hui Shang; Yiling He (Knowl. Based Syst., 2023)

Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy. - Zhenzhen Jin; Yulong Xiao; Deqiang He; Zexian Wei; Yingqian Sun; Weifeng Yang (Digit. Signal Process., 2023)

Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing. - Zexian Wei; Deqiang He; Zhenzhen Jin; Bin Liu 053; Sheng Shan; Yanjun Chen 002; Jian Miao (IEEE Trans. Intell. Transp. Syst., 2023)

Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising. - Zexian Wei; Deqiang He; Zhenzhen Jin; Sheng Shan; Xueyan Zou; Jian Miao; Chang Liu (Appl. Intell., 2023)

Utility-Efficient Edge-Cloud Collaborative Space-Air-Ground Integrated Internet of Things. - Tiexin Zhang; Yinyu Wu; Wenchao Liu; Chunjie Wang; Zhenzhen Jin; Xuhui Zhang; Yanyan Shen (ICCT, 2024)

Explainable Deep Learning for Interpretable Brain Tumor Diagnosis from MRI Images. - Eduard Manziuk; Olexander Barmak; Iurii Krak; Nataliia Petliak; Zhenzhen Jin; Pavlo Radiuk (ISDMCI (1), 2024)

Welding defect detection based on phased array images and two-stage segmentation strategy. - Yan Chen; Deqiang He; Suiqiu He; Zhenzhen Jin; Jian Miao; Sheng Shan; Yanjun Chen 002 (Adv. Eng. Informatics, 2024)

Learning spatial-temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit. - Jinxin Wu; Deqiang He; Zhenzhen Jin; Xianwang Li; Qin Li 012; Weibin Xiang (Expert Syst. Appl., 2024)

Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network. - Yiling He; Deqiang He; Zhenpeng Lao; Zhenzhen Jin; Jian Miao; Zhiping Lai; Yanjun Chen 002 (Knowl. Based Syst., 2024)

Unsupervised intrusion detection for rail transit based on anomaly segmentation. - Yixin Shen; Deqiang He; Qi Liu; Zhenzhen Jin; Xianwang Li; Chonghui Ren (Signal Image Video Process., 2024)

Research on flow scheduling of train communication based on time-sensitive network. - Tiexiang Liu; Deqiang He; Zhenzhen Jin; Sheng Shan; Yanjun Chen 002; Qilin Chen (Simul. Model. Pract. Theory, 2024)

Direct Denoising of Fault Signal for Train Bogie Bearing Under Speed Change Condition. - Zexian Wei; Deqiang He; Zhenzhen Jin; Haimeng Sun; Sheng Shan; Chang Liu; Cai Yi (IEEE Trans. Veh. Technol., 2024)

Prediction of bearing remaining useful life based on a two-stage updated digital twin. - Deqiang He; Jiayang Zhao; Zhenzhen Jin; Chenggeng Huang; Fan Zhang; Jinxin Wu (Adv. Eng. Informatics, 2025)

Bogie key components fault diagnosis utilizing multi-sensor tensor graphs and dual-attribute feature selection. - Zexian Wei; Deqiang He; Zhenzhen Jin; Haimeng Sun; Jinxin Wu; Sheng Shan; Jian Miao; Cai Yi (Eng. Appl. Artif. Intell., 2025)

AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions. - Deqiang He; Jinxin Wu; Zhenzhen Jin; Chenggeng Huang; Zexian Wei; Cai Yi (Reliab. Eng. Syst. Saf., 2025)

DCAGGCN: A novel method for remaining useful life prediction of bearings. - Deqiang He; Jiayang Zhao; Zhenzhen Jin; Chenggeng Huang; Cai Yi; Jinxin Wu (Reliab. Eng. Syst. Saf., 2025)

MSRNet-GLAM: A novel intrusion detection method for train communication network. - Qilin Chen; Deqiang He; Zhenzhen Jin; Ziyang Ren; Tiexiang Liu; Sheng Shan (Simul. Model. Pract. Theory, 2025)

MT-ConvFormer: A Multitask Bearing Fault Diagnosis Method Using a Combination of CNN and Transformer. - Yufei Han; Fan Zhang 108; Zhaoqi Li; Qichen Wang 008; Chaofan Li; Pei Lai; Tianrui Li 001; Fei Teng 001; Zhenzhen Jin (IEEE Trans. Instrum. Meas., 2025)

LDCD-Net: lightweight dual-channel detection network for obstacles detection on rail transit. - Mingchao Zhang; Deqiang He; Qi Liu; Jinxin Wu; Yuliang Qin; Zhenzhen Jin; Chonghui Ren (Signal Image Video Process., 2025)

A new method for bearing remaining useful life prediction based on dynamic wavelet and physical information constraints. - Jiayang Zhao; Deqiang He; Zhenzhen Jin; Xingwu Zhang; Jixu Zhou (Expert Syst. Appl., 2026)