| Densely pyramidal residual network for UAV-based railway images dehazing Y Wu, Y Qin, Z Wang, X Ma, Z Cao Neurocomputing 371, 124-136, 2020 | 40 | 2020 |
| An effective railway intrusion detection method using dynamic intrusion region and lightweight neural network Z Cao, Y Qin, Z Xie, Q Liu, E Zhang, Z Wu, Z Yu Measurement 191, 110564, 2022 | 35 | 2022 |
| Haze removal of railway monitoring images using multi-scale residual network Z Cao, Y Qin, L Jia, Z Xie, Q Liu, X Ma, C Yu IEEE Transactions on Intelligent Transportation Systems 22 (12), 7460-7473, 2020 | 28 | 2020 |
| Research on active safety methodologies for intelligent railway systems Y Qin, Z Cao, Y Sun, L Kou, X Zhao, Y Wu, Q Liu, M Wang, L Jia Engineering, 2022 | 16 | 2022 |
| Multi-point short-term prediction of station passenger flow based on temporal multi-graph convolutional network Y Wang, Y Qin, J Guo, Z Cao, L Jia Physica A: Statistical Mechanics and its Applications 604, 127959, 2022 | 15 | 2022 |
| Face detection for rail transit passengers based on single shot detector and active learning Z Cao, Y Qin, Y Li, Z Xie, J Guo, L Jia Multimedia Tools and Applications 81 (29), 42433-42456, 2022 | 7 | 2022 |
| Efficient SSD: a real-time intrusion object detection algorithm for railway surveillance Y Li, Y Qin, Z Xie, Z Cao, L Jia, Z Yu, J Zheng, E Zhang 2020 International Conference on Sensing, Diagnostics, Prognostics, and …, 2020 | 7 | 2020 |
| An efficient residual-based method for railway image dehazing Q Liu, Y Qin, Z Xie, Z Cao, L Jia Sensors 20 (21), 6204, 2020 | 6 | 2020 |
| Railway Fastener Anomaly Detection via Multi-sensor Fusion and Self-driven Loss Reweighting Y Gao, Z Cao, Y Qin, X Ge, L Lian, J Bai, H Yu IEEE Sensors Journal, 2023 | 5 | 2023 |
| Railway Pedestrian Intrusion Detection Using Onboard Forward-Viewing Camera Y Li, B Fu, Y Qin, R Yuan, Z Cao, Z Xie, Y Gao International Conference on Electrical and Information Technologies for Rail …, 2021 | 4 | 2021 |
| A Railway Intrusion Detection Framework Based on Vehicle Front Video Z Cao, Y Qin, Z Xie, Y Li, Y Gao International Conference on Electrical and Information Technologies for Rail …, 2021 | 2 | 2021 |
| Research on classification methods of LOS for urban rail transit stations passages Z Cao, Y Qin, Z Xie 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 2 | 2018 |
| Multi-Point Short-Term Passenger Flow Prediction in the Station Based on Temporal Multi-Graph Convolutional Network Y Wang, Q Yong, J Guo, Z Cao, L Jia Available at SSRN 4065482, 0 | 2 | |
| Efficient Dual-Stream Fusion Network for Real-Time Railway Scene Understanding Z Cao, Y Gao, J Bai, Y Qin, Y Zheng, L Jia IEEE Transactions on Intelligent Transportation Systems, 2024 | 1 | 2024 |
| A Lightweight Pedestrian Intrusion Detection Algorithm Based on On-Board Video Y Gao, Y Qin, Z Cao, L Lian, J Bai, X Ge, H Yu International Conference on Electrical and Information Technologies for Rail …, 2023 | 1 | 2023 |
| A Foreign Object Detection Method for Railway Overhead Lines Based on Few-Shot Learning H Yu, Y Qin, Z Cao, L Lian, Y Gao, J Bai, X Ge International Conference on Electrical and Information Technologies for Rail …, 2023 | 1 | 2023 |
| A Fine-Grained Method for Detecting Defects of Track Fasteners Using RGB-D Image X Ge, Y Qin, Z Cao, Y Gao, L Lian, J Bai, H Yu International Conference on Electrical and Information Technologies for Rail …, 2023 | 1 | 2023 |
| An Anomaly Detection Method for Railway Track Using Semi-supervised Learning and Vision-Lidar Decision Fusion X Ge, Z Cao, Y Qin, Y Gao, L Lian, J Bai, H Yu IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
| Railway Intrusion Detection Based on Machine Vision: A Survey, Challenges, and Perspectives Z Cao, Y Qin, L Jia, Z Xie, Y Gao, Y Wang, P Li, Z Yu IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Densely Multi-scale Fusion Network for Lightweight and Accurate Semantic Segmentation of Railway Scenes L Lian, Z Cao, Y Qin, Y Gao, J Bai, H Yu, L Jia IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
