1. Led the development of the Beijing Rail Transit Networked Operation Big Data Application System (2005-2018), contributing to urban rail transit data indicators, data models, passenger flow prediction models, operation simulation and evaluation models, station passenger flow characteristic file models, passenger portrait models, rail transit data standards, metadata standards, and big data application system clusters.
2. Monographs:
· Artificial Intelligence: A General Education Course, Tsinghua University Press, 2025.
· "Urban Rail Transit Passenger Flow Big Data Theory and Application," Science Press, 2023.
· "Research on Multi-target Capture and Tracking Algorithms under Starry Sky Background," Beijing University of Aeronautics and Astronautics Press, 2022.
3. Standards and Specifications:
· State Administration of Mine Safety "General Principles of Intelligent Mine Data Fusion and Sharing" (KSSJ/JC11-2023)
· State Administration of Mine Safety "Specifications for Data Architecture of Intelligent Mine Data Fusion and Sharing" (KSSJ/ZL11-2023)
4. Selected Academic Papers:
· Yang Jun, Jiayue Chen, Yan Wang, Shulong Sun, Haizhen Xie, Jianguo Wu, and Wei Wang. 2025. "MRNet: A Deep Learning Framework for Drivable Area Detection in Multi-Scenario Unstructured Roads" Electronics 14, no. 11: 2242. (期刊论文)
· Yang Jun, Yan Wang, Haizhen Xie, Jiayue Chen, Shulong Sun, and Xiaolan Zhang. 2025. "EHAFF-NET: Enhanced Hybrid Attention and Feature Fusion for Pedestrian ReID" Mathematics 13, no. 4: 660.
· Yang Jun, Haizhen Xie, Xiaolan Zhang, Jiayue Chen, and Shulong Sun. 2025. "Enhancing Mine Safety with YOLOv8-DBDC: Real-Time PPE Detection for Miners" Electronics 14, no. 14: 2788.
· Yang, Jun, et al. "3D-STARNET: Spatial–Temporal Attention Residual Network for Robust Action Recognition." Applied Sciences 14, no. 16: 7154.
· Yang Jun, et al. "A Review of Coal Industry Internet Technology." Mine Automation, 2023.
· Yang Jun, et al. "Prediction of Inbound and Outbound Passenger Flow in Urban Rail Transit Based on Spatio-Temporal Attention Residual Network." Applied Sciences, 2023, no.18:10266.
· Jun Yang, et al. "MPDNet: A Transformer-based Real-time Passenger Detection Network in Metro Station." Frontiers in Physics, 2022.
· Jun Yang, et al. "Spatiotemporal Virtual Graph Convolution Network for Key Origin-Destination Flow Prediction in Metro System." Wireless Communications and Mobile Computing, 2022.
· Jun Yang, et al. "Optimization of Metro Trains Operation Plans Based on Passenger Flow Data Analysis." Wireless Communications and Mobile Computing, 2022.
· Jun Yang, et al. "SPDNet: A Real-Time Passenger Detection Method Based on Attention Mechanism in Subway Station Scenes." Wireless Communications and Mobile Computing, 2021.
· Jun Yang, et al. "Metro Passenger Flow Prediction Model Using Attention-Based Neural Network." IEEE Access, 2020.
5. Invention Patents:
· Yang Jun, et al. "Method and device for analyzing the passenger flow structure similarity of rail transit stations based on OD." Invention Patent, ZL202011093216.9
· Yang Jun, et al. "A method and system for subway passenger analysis based on data mining." Invention Patent, CN202110562020.8
· Yang Jun, et al. "A method and system for pedestrian detection in crowded areas." Invention Patent, ZL202110278254.X
· Yang Jun, et al. "A method and system for estimating the commuting distribution of urban rail transit." Invention Patent, ZL202210135670.9
· Yang Jun, et al. “ A Unified Navigation Method and Device for Above-Ground and Underground Spaces.“ Invention patent, ZL202210985519.4
· Liang Jiahua, Yang Jun, et al. "A pedestrian detection method and system based on the MPDNet model." Invention Patent, CN202211204551.0
· Yang Jun, et al. "Micro-expression recognition method and device." Invention Patent, CN202310515422.1
· Yang Huifan, Yang Jun ,et al. "A subway passenger flow prediction method based on the ST-RANet model." Invention Patent, ZL202310908667.0