Yilun Lin

According to our database, Yilun Lin authored at least 42 papers between 2017 and 2024.

Collaborative distances:

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

2024

Guest Editorial Enabling Technologies and Systems for Industry 5.0: From Foundation Models to Foundation Intelligence.

Ying Tang, Yonglin Tian, Yilun Lin, Chen Lv, Maria Pia Fanti

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

LLM-Based Operating Systems for Automated Vehicles: A New Perspective.

Jingwei Ge, Cheng Chang, Jiawei Zhang, Lingxi Li, Xiaoxiang Na, Yilun Lin, Li Li, Fei-Yue Wang

IEEE Trans. Intell. Veh., April, 2024

The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure.

Jingru Yu, Yi Yu, Xuhong Wang, Yilun Lin, Manzhi Yang, Yu Qiao, Fei-Yue Wang

CoRR, 2024

Navigating the Data Trading Crossroads: An Interdisciplinary Survey.

Yi Yu, Jingru Yu, Xuhong Wang, Juanjuan Li, Yilun Lin, Conghui He, Yanqing Yang, Yu Qiao, Li Li, Fei-Yue Wang

CoRR, 2024

Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond.

Xuhong Wang, Haoyu Jiang, Yi Yu, Jingru Yu, Yilun Lin, Ping Yi, Yingchun Wang, Yu Qiao, Li Li, Fei-Yue Wang

CoRR, 2024

Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense.

Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin

Proceedings of the IEEE Intelligent Vehicles Symposium, 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

Parallel Transportation in TransVerse: From Foundation Models to DeCAST.

Chen Zhao, Xiao Wang, Yisheng Lv, Yonglin Tian, Yilun Lin, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., December, 2023

Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems.

Fei-Yue Wang, Yilun Lin, Petros A. Ioannou, Ljubo B. Vlacic, Xiaoming Liu, Azim Eskandarian, Yisheng Lv, Xiaoxiang Na, David Cebon, Jiaqi Ma, Lingxi Li, Cristina Olaverri-Monreal

IEEE Trans. Intell. Transp. Syst., October, 2023

City 5.0: Towards Spatial Symbiotic Intelligence via DAOs and Parallel Systems.

Yilun Lin, Wei Hu, Xi Chen, Shuang Li, Fei-Yue Wang

IEEE Trans. Intell. Veh., July, 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

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

Mastering Arterial Traffic Signal Control With Multi-Agent Attention-Based Soft Actor-Critic Model.

Feng Mao, Zhiheng Li, Yilun Lin, Li Li

IEEE Trans. Intell. Transp. Syst., March, 2023

What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence.

Fei-Yue Wang, Qinghai Miao, Xuan Li, Xingxia Wang, Yilun Lin

IEEE CAA J. Autom. Sinica, March, 2023

Simulation Driven AI: From Artificial to Actual and Vice Versa.

Li Li, Yilun Lin, Yutong Wang, Fei-Yue Wang

IEEE Intell. Syst., 2023

Evolutionary City: Towards a Flexible, Agile and Symbiotic System.

Xi Chen, Wei Hu, Jingru Yu, Ding Wang, Shengyue Yao, Yilun Lin, Fei-Yue Wang

CoRR, 2023

IR Design for Application-Specific Natural Language: A Case Study on Traffic Data.

Wei Hu, Xuhong Wang, Ding Wang, Shengyue Yao, Zuqiu Mao, Li Li, Fei-Yue Wang, Yilun Lin

CoRR, 2023

Building Transportation Foundation Model via Generative Graph Transformer.

Xuhong Wang, Ding Wang, Liang Chen, Yilun Lin

CoRR, 2023

Pursuing Equilibrium of Medical Resources via Data Empowerment in Parallel Healthcare System.

Yi Yu, Shengyue Yao, Kexin Wang, Yan Chen, Fei-Yue Wang, Yilun Lin

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

SWDPM: A Social Welfare-Optimized Data Pricing Mechanism.

Yi Yu, Shengyue Yao, Juanjuan Li, Fei-Yue Wang, Yilun Lin

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Boosting Intelligent Diagnostic Process in Internet Hospital: A Conversational-AI-Enhanced Framework.

Kexin Wang, Shengyue Yao, Ziyi Wu, Fei-Yue Wang, Yilun Lin, Yan Chen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Optimize the Accessibility of Healthcare Facilities via ACP-Based Approach.

Xinyi Lv, Yi Yu, Xinzhao Xie, Fei-Yue Wang, Yilun Lin, Yan Chen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

RoW-based Parallel Control for Mixed Traffic Scenario: A Case Study on Lane-Changing.

Jingru Yu, Yi Yu, Shengyue Yao, Ding Wang, Pinlong Cai, Honghai Li, Li Li, Fei-Yue Wang, Yilun Lin

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

DeMaaS: Efficient Service Distribution for MaaS via Decentralized Collaboration and Optimization.

Jia Xu, Shengyue Yao, Yi Yu, Fei-Yue Wang, Yilun Lin

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

TransWorldNG: Traffic Simulation via Foundation Model.

Ding Wang, Xuhong Wang, Liang Chen, Shengyue Yao, Ming Jing, Honghai Li, Shiqiang Bao, Li Li, Fei-Yue Wang, Yilun Lin

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

Building Transportation Foundation Model via Generative Graph Transformer.

Xuhong Wang, Ding Wang, Liang Chen, Fei-Yue Wang, Yilun Lin

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

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

GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization.

Sicong Du, Hengkai Guo, Yao Chen, Yilun Lin, Xiangbing Meng, Linfu Wen, Fei-Yue Wang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Skywork-daVinci: A Novel CPSS-based Painting Support System.

Chao Guo, Tianxiang Bai, Yue Lu, Yilun Lin, Gang Xiong, Xiao Wang, Fei-Yue Wang

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 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

Parallel testing of vehicle intelligence via virtual-real interaction.

Li Li, Xiao Wang, Kunfeng Wang, Yilun Lin, Jingmin Xin, Long Chen, Linhai Xu, Bin Tian, Yunfeng Ai, Jian Wang, Dongpu Cao, Yuehu Liu, Chenghong Wang, Nanning Zheng, Fei-Yue Wang

Sci. Robotics, 2019

2018

Capturing Car-Following Behaviors by Deep Learning.

Xiao Wang, Rui Jiang, Li Li, Yilun Lin, Xinhu Zheng, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2018

An Efficient Deep Reinforcement Learning Model for Urban Traffic Control.

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

CoRR, 2018

Artificial intelligence test: a case study of intelligent vehicles.

Li Li, Yi-Lun Lin, Nanning Zheng, Fei-Yue Wang, Yuehu Liu, Dongpu Cao, Kunfeng Wang, Wuling Huang

Artif. Intell. Rev., 2018

2017

Generative adversarial networks: introduction and outlook.

Kunfeng Wang, Chao Gou, Yanjie Duan, Yilun Lin, Xinhu Zheng, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 2017

Parallel learning: a perspective and a framework.

Li Li, Yilun Lin, Nanning Zheng, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 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