Junchen Jin

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 29

Top Topics

Traffic Control

Reinforcement Learning

Stochastic Optimization

Top Venues

IEEE Trans. Intell. Transp. Syst.

Eng. Appl. Artif. Intell.

Publications

Yuanqi Qin, Wen Hua, Junchen Jin, Jun Ge, Xingyuan Dai, Lingxi Li, Xiao Wang, Fei-Yue Wang
AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning. IEEE CAA J. Autom. Sinica 10 (9) (2023)
Zhiguo Zhang, Xiaoliang Ma, Christer Johansson, Junchen Jin, Magnuz Engardt
A Meta-Graph Deep Learning Framework for Forecasting Air Pollutants in Stockholm. WF-IoT (2023)
Zhenzhen Zhao, Guojiang Shen, Junjie Zhou, Junchen Jin, Xiangjie Kong
Spatial-temporal hypergraph convolutional network for traffic forecasting. PeerJ Comput. Sci. 9 (2023)
Qingyuan Ji, Yongdong Zhu, Xiaoyue Wen, Qi Zhang, Yuanqi Qin, Junchen Jin
Hi-Lane: Hierarchical Decision Support Framework for Traffic Signal Control with Dynamic Lanes. ITSC (2023)
Yuanqi Qin, Junchen Jin, Wen Hua, Xingyuan Dai, Xiao Wang
An Online Traffic Simulation Modeling Framework for Real-Time Road Traffic Control and Management. ITSC (2022)
Junchen Jin, Dingding Rong, Yuqi Pang, Fenghua Zhu, Haifeng Guo, Xiaoliang Ma, Fei-Yue Wang
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Junchen Jin, Yanhao Huang, Jun Jason Zhang, Fei-Yue Wang
SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning. Neurocomputing 467 (2022)
Junchen Jin, Mark Heimann, Di Jin, Danai Koutra
Toward Understanding and Evaluating Structural Node Embeddings. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Chen Zhao, Yisheng Lv, Junchen Jin, Yonglin Tian, Jiangong Wang, Fei-Yue Wang
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond. IEEE Intell. Transp. Syst. Mag. 14 (6) (2022)
Junchen Jin, Dingding Rong, Yuqi Pang, Peijun Ye, Qingyuan Ji, Xiao Wang, Ge Wang, Fei-Yue Wang
An Agent-Based Traffic Recommendation System: Revisiting and Revising Urban Traffic Management Strategies. IEEE Trans. Syst. Man Cybern. Syst. 52 (11) (2022)
Junchen Jin, Dingding Rong, Tong Zhang, Qingyuan Ji, Haifeng Guo, Yisheng Lv, Xiaoliang Ma, Fei-Yue Wang
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Xiaoshuang Li, Peijun Ye, Junchen Jin, Fenghua Zhu, Fei-Yue Wang
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra
How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications. KDD (2022)
Qingyuan Ji, Junchen Jin, Yuanqi Qin, Xiaoliang Ma, Yuan Zhang
GraphPro: A Graph-based Proactive Prediction Approach for Link Speeds on Signalized Urban Traffic Network. SMC (2022)
Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra
Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs. CoRR (2021)
Junchen Jin, Mark Heimann, Di Jin, Danai Koutra
Towards Understanding and Evaluating Structural Node Embeddings. CoRR (2021)
Qingyuan Ji, Junchen Jin
Strategic Traffic Management and Operation based on Deep Recommendation Agent. ITSC (2021)
Junchen Jin, Haifeng Guo, Jia Xu, Xiao Wang, Fei-Yue Wang
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework. IEEE Trans. Intell. Transp. Syst. 22 (3) (2021)
Michael Sederlin, Xiaoliang Ma, Junchen Jin
A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections. ITSC (2021)
Xiaoshuang Li, Zhongzheng Guo, Xingyuan Dai, Yilun Lin, Junchen Jin, Fenghua Zhu, Fei-Yue Wang
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks. ITSC (2020)
Junchen Jin, Xiaoliang Ma
A Multi-Objective Agent-Based Control Approach With Application in Intelligent Traffic Signal System. IEEE Trans. Intell. Transp. Syst. 20 (10) (2019)
Qinrui Tang, Junchen Jin
Left turn phasing type determination at isolated intersections solved by a genetic algorithm. ITSC (2019)
Junchen Jin, Xiaoliang Ma
A non-parametric Bayesian framework for traffic-state estimation at signalized intersections. Inf. Sci. 498 (2019)
Tong Zhang, Junchen Jin, Hui Yang, Haifeng Guo, Xiaoliang Ma
Link speed prediction for signalized urban traffic network using a hybrid deep learning approach. ITSC (2019)
Junchen Jin, Xiaoliang Ma
Hierarchical multi-agent control of traffic lights based on collective learning. Eng. Appl. Artif. Intell. 68 (2018)
Junchen Jin, Xiaoliang Ma, Iisakki Kosonen
A stochastic optimization framework for road traffic controls based on evolutionary algorithms and traffic simulation. Adv. Eng. Softw. 114 (2017)
Junchen Jin, Xiaoliang Ma
A multi-objective multi-agent framework for traffic light control. ASCC (2017)
Junchen Jin, Xiaoliang Ma
A group-based traffic signal control with adaptive learning ability. Eng. Appl. Artif. Intell. 65 (2017)
Jiaxi Wang, Boliang Lin, Junchen Jin
Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm. Comput. Intell. Neurosci. 2016 (2016)
Junchen Jin, Xiaoliang Ma
Adaptive Group-Based Signal Control Using Reinforcement Learning with Eligibility Traces. ITSC (2015)
Junchen Jin, Xiaoliang Ma
Implementation and optimization of group-based signal control in traffic simulation. ITSC (2014)