Reliable identification of redundant kernels for convolutional neural network compression. - Wei Wang 363; Liqiang Zhu; Baoqing Guo (J. Vis. Commun. Image Represent., 2019)

High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks. - Baoqing Guo; Gan Geng; Liqiang Zhu; Hongmei Shi; Zujun Yu (Sensors, 2019)

An Adaptive Track Segmentation Algorithm for a Railway Intrusion Detection System. - Yang Wang; Liqiang Zhu; Zujun Yu; Baoqing Guo (Sensors, 2019)

Vanishing Point Detection and Rail Segmentation Based on Deep Multi-Task Learning. - Xingxin Li; Liqiang Zhu; Zujun Yu; Baoqing Guo; Yanqin Wan (IEEE Access, 2020)

Multi-scale object detection for high-speed railway clearance intrusion. - Runliang Tian; Hongmei Shi; Baoqing Guo; Liqiang Zhu (Appl. Intell., 2022)

ℒ풪2net: Global-Local Semantics Coupled Network for scene-specific video foreground extraction with less supervision. - Tao Ruan; Shikui Wei; Yao Zhao 001; Baoqing Guo; Zujun Yu (Pattern Anal. Appl., 2023)

A Method for Railway Intrusion Objects Detection with LiDAR and Image Fusion. - Ziwen Fan; Guangzhi Cheng; Tao Sun; Hang Yu; Baoqing Guo (CSAI, 2024)

Digging into depth-adaptive structure for guided depth super-resolution. - Yue Hou; Lang Nie; Chunyu Lin; Baoqing Guo; Yao Zhao 001 (Displays, 2024)

RailEINet:A novel scene segmentation network for automatic train operation based on feature alignment. - Tao Sun; Baoqing Guo; Tao Ruan; Xingfang Zhou; Dingyuan Bai (Eng. Appl. Artif. Intell., 2024)

Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification. - Ruihan Fan; Lei Tong; Jun Zhou 001; Baoqing Guo; Chuangbai Xiao (IEEE Geosci. Remote. Sens. Lett., 2024)

Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network. - Wei Wei; Lei Tong; Baoqing Guo; Jun Zhou 001; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2024)

AdapSyn: Anomaly detection based on triplet training with adaptive anomaly synthesis. - Shijie Zhou; Chunyu Lin; Zisong Chen; Baoqing Guo; Yao Zhao 001 (Displays, 2025)

RailFDNet: A hybrid supervision and feature discrepancy enhancement model for railway anomalous object detection. - Tao Sun; Baoqing Guo; Tao Ruan; Xingfang Zhou; Dingyuan Bai; Hang Yu; Yu Wang (Expert Syst. Appl., 2025)

A Continuous Autonomous Train Positioning Method Using Stereo Vision and Object Tracking. - Lirong Lian; Yong Qin 002; Zhiwei Cao; Yang Gao; Jie Bai; Xuanyu Ge; Baoqing Guo (IEEE Intell. Transp. Syst. Mag., 2025)

F2RAIL: panoptic segmentation integrating Fpn and transFormer towards RAILway. - Dingyuan Bai; Baoqing Guo; Tao Ruan; Xingfang Zhou; Tao Sun; Wang Yu; Liu Tao (Appl. Intell., 2025)

Rail-PatchCore: unsupervised learning-based detection of visual anomalies in the railway-turnout environment. - YuanHao Zhang; Zujun Yu; Liqiang Zhu; Baoqing Guo; Yao Wang (Appl. Intell., 2025)

Multi-scale feature enhanced detection of foreign object intrusions on railways. - Jialin Gao; Liqiang Zhu; Baoqing Guo; Yao Wang (J. Supercomput., 2025)

Both Objects and Relationships Matter: Cross Coupled Transformer for Railway Scene Perception. - Dingyuan Bai; Baoqing Guo; Tao Ruan; Xingfang Zhou; Tao Sun; Hongwei Wang 008; Zhipeng Wang 002 (IEEE Trans. Intell. Transp. Syst., 2025)