Junchen Jin

According to our database, Junchen Jin authored at least 31 papers between 2014 and 2023.

Collaborative distances:

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

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

Spatial-temporal hypergraph convolutional network for traffic forecasting.

Zhenzhen Zhao, Guojiang Shen, Junjie Zhou, Junchen Jin, Xiangjie Kong

PeerJ Comput. Sci., 2023

Hi-Lane: Hierarchical Decision Support Framework for Traffic Signal Control with Dynamic Lanes.

Qingyuan Ji, Yongdong Zhu, Xiaoyue Wen, Qi Zhang, Yuanqi Qin, Junchen Jin

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

2022

An Agent-Based Traffic Recommendation System: Revisiting and Revising Urban Traffic Management Strategies.

Junchen Jin, Dingding Rong, Yuqi Pang, Peijun Ye, Qingyuan Ji, Xiao Wang, Ge Wang, Fei-Yue Wang

IEEE Trans. Syst. Man Cybern. Syst., 2022

Toward Understanding and Evaluating Structural Node Embeddings.

Junchen Jin, Mark Heimann, Di Jin, Danai Koutra

ACM Trans. Knowl. Discov. Data, 2022

Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework.

Xiaoshuang Li, Peijun Ye, Junchen Jin, Fenghua Zhu, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework.

Junchen Jin, Dingding Rong, Tong Zhang, Qingyuan Ji, Haifeng Guo, Yisheng Lv, Xiaoliang Ma, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks.

Junchen Jin, Dingding Rong, Yuqi Pang, Fenghua Zhu, Haifeng Guo, Xiaoliang Ma, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond.

Chen Zhao, Yisheng Lv, Junchen Jin, Yonglin Tian, Jiangong Wang, Fei-Yue Wang

IEEE Intell. Transp. Syst. Mag., 2022

SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning.

Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Junchen Jin, Yanhao Huang, Jun Jason Zhang, Fei-Yue Wang

Neurocomputing, 2022

GraphPro: A Graph-based Proactive Prediction Approach for Link Speeds on Signalized Urban Traffic Network.

Qingyuan Ji, Junchen Jin, Yuanqi Qin, Xiaoliang Ma, Yuan Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications.

Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework.

Junchen Jin, Haifeng Guo, Jia Xu, Xiao Wang, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2021

Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs.

Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

CoRR, 2021

Towards Understanding and Evaluating Structural Node Embeddings.

Junchen Jin, Mark Heimann, Di Jin, Danai Koutra

CoRR, 2021

A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections.

Michael Sederlin, Xiaoliang Ma, Junchen Jin

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Strategic Traffic Management and Operation based on Deep Recommendation Agent.

Qingyuan Ji, Junchen Jin

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

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

A Multi-Objective Agent-Based Control Approach With Application in Intelligent Traffic Signal System.

Junchen Jin, Xiaoliang Ma

IEEE Trans. Intell. Transp. Syst., 2019

A non-parametric Bayesian framework for traffic-state estimation at signalized intersections.

Junchen Jin, Xiaoliang Ma

Inf. Sci., 2019

Link speed prediction for signalized urban traffic network using a hybrid deep learning approach.

Tong Zhang, Junchen Jin, Hui Yang, Haifeng Guo, Xiaoliang Ma

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Left turn phasing type determination at isolated intersections solved by a genetic algorithm.

Qinrui Tang, Junchen Jin

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Advance Traffic Signal Control Systems with Emerging Technologies.

Junchen Jin

PhD thesis, 2018

Hierarchical multi-agent control of traffic lights based on collective learning.

Junchen Jin, Xiaoliang Ma

Eng. Appl. Artif. Intell., 2018

2017

A group-based traffic signal control with adaptive learning ability.

Junchen Jin, Xiaoliang Ma

Eng. Appl. Artif. Intell., 2017

A stochastic optimization framework for road traffic controls based on evolutionary algorithms and traffic simulation.

Junchen Jin, Xiaoliang Ma, Iisakki Kosonen

Adv. Eng. Softw., 2017

A multi-objective multi-agent framework for traffic light control.

Junchen Jin, Xiaoliang Ma

Proceedings of the 11th Asian Control Conference, 2017

2016

Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm.

Jiaxi Wang, Boliang Lin, Junchen Jin

Comput. Intell. Neurosci., 2016

2015

Adaptive Group-Based Signal Control Using Reinforcement Learning with Eligibility Traces.

Junchen Jin, Xiaoliang Ma

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Implementation and optimization of group-based signal control in traffic simulation.

Junchen Jin, Xiaoliang Ma

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014