Xingyuan Dai

According to our database, Xingyuan Dai authored at least 44 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation.

Xingyuan Dai, Chao Guo, Yun Tang, Haichuan Li, Yutong Wang, Jun Huang, Yonglin Tian, Xin Xia, Yisheng Lv, Fei-Yue Wang

IEEE Trans. Intell. Veh., April, 2024

S⁴TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.

Xiao Wang, Ke Tang, Xingyuan Dai, Jintao Xu, Quancheng Du, Rui Ai, Yuxiao Wang, Weihao Gu

IEEE Trans. Intell. Veh., February, 2024

ArtCap: A Dataset for Image Captioning of Fine Art Paintings.

Yue Lu, Chao Guo, Xingyuan Dai, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., February, 2024

Parallel Dispatching: An ACP-Based High-Speed Railway Intelligent Dispatching System.

Wei Xu, Chen Zhao, Xingyuan Dai, Zhiming Yuan, Tao Zhang, Tao Wang, Yuhai Ren, Yisheng Lv

IEEE Trans. Intell. Veh., January, 2024

MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving.

Enming Zhang, Xingyuan Dai, Yisheng Lv, Qinghai Miao

CoRR, 2024

S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.

Xiao Wang, Ke Tang, Xingyuan Dai, Jintao Xu, Quancheng Du, Rui Ai, Yuxiao Wang, Weihao Gu

CoRR, 2024

RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences.

Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SC- Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models.

Tongtian Yue, Jie Cheng, Longteng Guo, Xingyuan Dai, Zijia Zhao, Xingjian He, Gang Xiong, Yisheng Lv, Jing Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Large Language Model-Driven Urban Traffic Signal Control.

Yiqing Tang, Xingyuan Dai, Chen Zhao, Qi Cheng, Yisheng Lv

Proceedings of the Australian & New Zealand Control Conference, 2024

Easy Planting with Distributed Cellular Plant Factory^*.

Jing Hua, Xiujuan Wang, Haoyu Wang, Xingyuan Dai, Weikang Zhao, Mengzhen Kang

Proceedings of the Australian & New Zealand Control Conference, 2024

2023

The Road Ahead: DAO-Secured V2X Infrastructures for Safe and Smart Vehicular Management.

Xingyuan Dai, Mauro Vallati, Rongge Guo, Yutong Wang, Shuangshuang Han, Yilun Lin

IEEE Trans. Intell. Veh., December, 2023

Could ChatGPT Imagine: Content Control for Artistic Painting Generation Via Large Language Models.

Yue Lu, Chao Guo, Yong Dou, Xingyuan Dai, Fei-Yue Wang

J. Intell. Robotic Syst., October, 2023

Parallel Testing for Centralized Traffic Control Systems of Intelligent Railways.

Wei Xu, Xingyuan Dai, Chen Zhao, Yiqing Tang, Jie Cheng, Zhiyou Qu, Tao Zhang, Yisheng Lv

IEEE Trans. Intell. Veh., September, 2023

AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning.

Yuanqi Qin, Wen Hua, Junchen Jin, Jun Ge, Xingyuan Dai, Lingxi Li, Xiao Wang, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, September, 2023

Mobility 5.0: Smart Logistics and Transportation Services in Cyber-Physical-Social Systems.

Yilun Lin, Xiaoxiang Na, Ding Wang, Xingyuan Dai, Fei-Yue Wang

IEEE Trans. Intell. Veh., June, 2023

Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles.

Xuan Li, Siyu Teng, Bingzi Liu, Xingyuan Dai, Xiaoxiang Na, Fei-Yue Wang

IEEE Trans. Intell. Veh., May, 2023

Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility.

Chen Zhao, Xingyuan Dai, Yisheng Lv, Jinglong Niu, Yilun Lin

IEEE Trans. Syst. Man Cybern. Syst., April, 2023

ArtVerse: A Paradigm for Parallel Human-Machine Collaborative Painting Creation in Metaverses.

Chao Guo, Yong Dou, Tianxiang Bai, Xingyuan Dai, Chunfa Wang, Yi Wen

IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Safety-Balanced Driving-Style Aware Trajectory Planning in Intersection Scenarios With Uncertain Environment.

Xiao Wang, Ke Tang, Xingyuan Dai, Jintao Xu, Jinhao Xi, Rui Ai, Yuxiao Wang, Weihao Gu, Changyin Sun

IEEE Trans. Intell. Veh., April, 2023

Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving.

Jingwei Lu, Liyuan Han, Qinglai Wei, Xiao Wang, Xingyuan Dai, Fei-Yue Wang

IEEE Trans. Intell. Veh., April, 2023

Generating Emotion Descriptions for Fine Art Paintings Via Multiple Painting Representations.

Yue Lu, Chao Guo, Xingyuan Dai, Fei-Yue Wang

IEEE Intell. Syst., 2023

Parallel Learning Based Foundation Model for Networked Traffic Signal Control.

Chen Zhao, Xingyuan Dai, Yuanyuan Chen, Yilun Lin, Yisheng Lv, Fei-Yue Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization.

Shengyue Yao, Jingru Yu, Yi Yu, Jia Xu, Xingyuan Dai, Honghai Li, Fei-Yue Wang, Yilun Lin

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Counterfactual Graph Transformer for Traffic Flow Prediction.

Ying Yang, Kai Du, Xingyuan Dai, Jianwu Fang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

VCrash: A Closed-Loop Traffic Crash Augmentation with Pose Controllable Pedestrian.

Bo Lu, Qinghai Miao, Xingyuan Dai, Yisheng Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Interaction-Aware Trajectory Prediction with Point Transformer.

Yahui Liu, Xingyuan Dai, Jianwu Fang, Bin Tian, Yisheng Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Parallel System-Based Predictive Control for Traffic Signals in Large-Scale Road Networks.

Xingyuan Dai, Yan Zhang, Yiqing Tang, Hongrui Chen, Jiaming Sun, Fei Cong, Yanan Lu, Yisheng Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Accelerating Realistic Multi-Route Traffic Flow Generation Based on Improved Simulated Annealing Algorithms.

Hongrui Chen, Yan Zhang, Xingyuan Dai, Jiaming Sun, Fei Cong, Yanan Lu, Bingji Xu, Yisheng Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning.

Yuxiao Wang, Xingyuan Dai, Kara Wang, Hub Ali, Fenghua Zhu

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

ChatGPT Participates in Traffic Control as a Traffic Manager Assistant.

Yiqing Tang, Xingyuan Dai, Yisheng Lv

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

PATRAS: Pattern-Aware Generalized Traffic Signal Control Based on Parallel Learning.

Xingyuan Dai, Yan Zhang, Yiqing Tang, Chen Zhao, Jiaming Sun, Fei Cong, Yanan Lu, Yisheng Lv

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

2022

Image-based traffic signal control via world models.

Xingyuan Dai, Chen Zhao, Xiao Wang, Yisheng Lv, Yilun Lin, Fei-Yue Wang

Frontiers Inf. Technol. Electron. Eng., 2022

ShadowPainter: Active Learning Enabled Robotic Painting through Visual Measurement and Reproduction of the Artistic Creation Process.

Chao Guo, Tianxiang Bai, Xiao Wang, Xiangyu Zhang, Yue Lu, Xingyuan Dai, Fei-Yue Wang

J. Intell. Robotic Syst., 2022

Data-efficient image captioning of fine art paintings via virtual-real semantic alignment training.

Yue Lu, Chao Guo, Xingyuan Dai, Fei-Yue Wang

Neurocomputing, 2022

Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse.

Chen Zhao, Xingyuan Dai, Yisheng Lv, Yonglin Tian, Yuhai Ren, Fei-Yue Wang

IEEE Intell. Syst., 2022

Learning Transformer-based Cooperation for Networked Traffic Signal Control.

Chen Zhao, Xingyuan Dai, Xiao Wang, Lingxi Li, Yisheng Lv, Fei-Yue Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

An Online Traffic Simulation Modeling Framework for Real-Time Road Traffic Control and Management.

Yuanqi Qin, Junchen Jin, Wen Hua, Xingyuan Dai, Xiao Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Image Captioning on Fine Art Paintings via Virtual Paintings.

Yue Lu, Chao Guo, Xingyuan Dai, Fei-Yue Wang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020

Investigating the dynamic memory effect of human drivers via ON-LSTM.

Shengzhe Dai, Zhiheng Li, Li Li, Dongpu Cao, Xingyuan Dai, Yilun Lin

Sci. China Inf. Sci., 2020

Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks.

Xiaoshuang Li, Zhongzheng Guo, Xingyuan Dai, Yilun Lin, Junchen Jin, Fenghua Zhu, Fei-Yue Wang

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework.

Yilun Lin, Xingyuan Dai, Li Li, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2019

2018

An Efficient Deep Reinforcement Learning Model for Urban Traffic Control.

Yilun Lin, Xingyuan Dai, Li Li, Fei-Yue Wang

CoRR, 2018

2017

DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction.

Xingyuan Dai, Rui Fu, Yilun Lin, Li Li, Fei-Yue Wang

CoRR, 2017

Master general parking skill via deep learning.

Yi-Lun Lin, Li Li, Xingyuan Dai, Nan-Ning Zheng, Fei-Yue Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017