Yongqi Dong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Anomaly Detection

Selection Algorithm

Reverse Logistics

Supervised Machine Learning

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Yin Huang, Yongqi Dong, Youhua Tang, Li Li
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction. CoRR (2024)
Yongqi Dong, Chang Liu, Yiyun Wang, Zhe Fu
Towards Understanding Worldwide Cross-cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap. CoRR (2024)
Ruohan Li, Yongqi Dong
Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss. CoRR (2023)
Yongqi Dong, Kejia Chen, Zhiyuan Ma
Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System. CoRR (2023)
Yongqi Dong, Kejia Chen, Zhiyuan Ma
Comparative Study on Semi-Supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System. SMC (2023)
Ruohan Li, Yongqi Dong
Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning. CoRR (2023)
Yongqi Dong, Sandeep Patil, Bart van Arem, Haneen Farah
A hybrid spatial-temporal deep learning architecture for lane detection. Comput. Aided Civ. Infrastructure Eng. 38 (1) (2023)
Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li
Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm. ITSC (2023)
Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li
Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture, Classification & Monitoring Scheme, and Site Selection Algorithm. CoRR (2023)
Li Zhang, Yongqi Dong, Haneen Farah, Bart van Arem
Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study. SMC (2023)
Yongqi Dong, Tobias Datema, Vincent Wassenaar, Joris van de Weg, Cahit Tolga Kopar, Harim Suleman
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers. CoRR (2023)
Henan Yuan, Penghui Li, Bart van Arem, Liujiang Kang, Yongqi Dong
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning. CoRR (2023)
Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li
Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic. CoRR (2023)
Yongqi Dong, Tobias Datema, Vincent Wassenaar, Joris van de Weg, Cahit Tolga Kopar, Harim Suleman
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers. ITSC (2023)
Haneen Farah, Ivan Postigo, Nagarjun Reddy, Yongqi Dong, Clas Rydergren, Narayana Raju, Johan Janson Olstam
Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice. IEEE Trans. Intell. Transp. Syst. 24 (6) (2023)
Henan Yuan, Penghui Li, Bart van Arem, Liujiang Kang, Haneen Farah, Yongqi Dong
Safe, Efficient, Comfort, and Energy-Saving Automated Driving Through Roundabout Based on Deep Reinforcement Learning. ITSC (2023)
Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li
Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic. ITSC (2023)
Lanxin Zhang, Yongqi Dong, Haneen Farah, Arkady Zgonnikov, Bart van Arem
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection. CoRR (2023)
Yongqi Dong, Kejia Chen, Yinxuan Peng, Zhiyuan Ma
Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. CoRR (2022)
Yongqi Dong, Kejia Chen, Yinxuan Peng, Zhiyuan Ma
Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. ITSC (2022)
Yongqi Dong, Sandeep Patil, Bart van Arem, Haneen Farah
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection. CoRR (2021)