Yongqi Dong - RankMe

31 papers B 2Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images. CoRR Sandeep Patil, Yongqi Dong, Haneen Farah, Hans Hellendoorn
2026	J	`jnl`	Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges. CoRR Rongxiang Zeng, Yongqi Dong
2026	J	`jnl`	Measuring the State of Open Science in Transportation Using Large Language Models. CoRR Junyi Ji, Ruth Lu, Linda Belkessa, Liming Wang, Silvia Varotto, Yongqi Dong, Nicolas Saunier, Mostafa Ameli, Gregory S. Macfarlane, Bahman Madadi, Cathy Wu
2025	—	`conf`	A Self-Supervised Transformer for Unusable Shared Bike Detection. ITSC Yin Huang, Yongqi Dong, Youhua Tang, Alvaro García Hernandez
2025	J	`jnl`	A Self-Supervised Transformer for Unusable Shared Bike Detection. CoRR Yin Huang, Yongqi Dong, Youhua Tang, Alvaro García Hernandez
2025	J	`jnl`	Parking Availability Prediction via Fusing Multi-Source Data with A Self-Supervised Learning Enhanced Spatio-Temporal Inverted Transformer. CoRR Yin Huang, Yongqi Dong, Youhua Tang, Li Li
2025	J	`jnl`	Towards Developing Socially Compliant Automated Vehicles: State of the Art, Experts Expectations, and A Conceptual Framework. CoRR Yongqi Dong, Bart van Arem, Haneen Farah
2024	J	`jnl`	Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction. CoRR Yin Huang, Yongqi Dong, Youhua Tang, Li Li
2024	—	`conf`	Towards Understanding Worldwide Cross-Cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap. ITSC Yongqi Dong, Chang Liu, Yiyun Wang, Zhe Fu
2024	J	`jnl`	Towards Understanding Worldwide Cross-cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap. CoRR Yongqi Dong, Chang Liu, Yiyun Wang, Zhe Fu
2024	J	`jnl`	Understanding cyclists' perception of driverless vehicles through eye-tracking and interviews. CoRR Siri Hegna Berge, Joost C. F. de Winter, Dimitra Dodou, Amir Pooyan Afghari, Eleonora Papadimitriou, Nagarjun Reddy, Yongqi Dong, Narayana Raju, Haneen Farah
2023	J	`jnl`	A hybrid spatial-temporal deep learning architecture for lane detection. Comput. Aided Civ. Infrastructure Eng. Yongqi Dong, Sandeep Patil, Bart van Arem, Haneen Farah
2023	B	`conf`	Comparative Study on Semi-Supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System. SMC Yongqi Dong, Kejia Chen, Zhiyuan Ma
2023	J	`jnl`	Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System. CoRR Yongqi Dong, Kejia Chen, Zhiyuan Ma
2023	—	`conf`	Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers. ITSC Yongqi Dong, Tobias Datema, Vincent Wassenaar, Joris van de Weg, Cahit Tolga Kopar, Harim Suleman
2023	J	`jnl`	Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers. CoRR Yongqi Dong, Tobias Datema, Vincent Wassenaar, Joris van de Weg, Cahit Tolga Kopar, Harim Suleman
2023	J	`jnl`	Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection. CoRR Lanxin Zhang, Yongqi Dong, Haneen Farah, Arkady Zgonnikov, Bart van Arem
2023	—	`conf`	Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm. ITSC Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li
2023	J	`jnl`	Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture, Classification & Monitoring Scheme, and Site Selection Algorithm. CoRR Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li
2023	—	`conf`	Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic. ITSC Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li
2023	J	`jnl`	Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic. CoRR Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li
2023	J	`jnl`	Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning. CoRR Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
2023	J	`jnl`	Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice. IEEE Trans. Intell. Transp. Syst. Haneen Farah, Ivan Postigo, Nagarjun Reddy, Yongqi Dong, Clas Rydergren, Narayana Raju, Johan Janson Olstam
2023	J	`jnl`	Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss. IEEE Trans. Intell. Transp. Syst. Ruohan Li, Yongqi Dong
2023	J	`jnl`	Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss. CoRR Ruohan Li, Yongqi Dong
2023	—	`conf`	Safe, Efficient, Comfort, and Energy-Saving Automated Driving Through Roundabout Based on Deep Reinforcement Learning. ITSC Henan Yuan, Penghui Li, Bart van Arem, Liujiang Kang, Haneen Farah, Yongqi Dong
2023	J	`jnl`	Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning. CoRR Henan Yuan, Penghui Li, Bart van Arem, Liujiang Kang, Yongqi Dong
2023	B	`conf`	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 Li Zhang, Yongqi Dong, Haneen Farah, Bart van Arem
2022	—	`conf`	Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. ITSC Yongqi Dong, Kejia Chen, Yinxuan Peng, Zhiyuan Ma
2022	J	`jnl`	Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. CoRR Yongqi Dong, Kejia Chen, Yinxuan Peng, Zhiyuan Ma
2021	J	`jnl`	A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection. CoRR Yongqi Dong, Sandeep Patil, Bart van Arem, Haneen Farah