Implementation and optimization of group-based signal control in traffic simulation. - Junchen Jin; Xiaoliang Ma (ITSC, 2014)

Adaptive Group-Based Signal Control Using Reinforcement Learning with Eligibility Traces. - Junchen Jin; Xiaoliang Ma (ITSC, 2015)

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)

A multi-objective multi-agent framework for traffic light control. - Junchen Jin; Xiaoliang Ma (ASCC, 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 group-based traffic signal control with adaptive learning ability. - Junchen Jin; Xiaoliang Ma (Eng. Appl. Artif. Intell., 2017)

Hierarchical multi-agent control of traffic lights based on collective learning. - Junchen Jin; Xiaoliang Ma (Eng. Appl. Artif. Intell., 2018)

Advance Traffic Signal Control Systems with Emerging Technologies. - Junchen Jin (2018)

Left turn phasing type determination at isolated intersections solved by a genetic algorithm. - Qinrui Tang; Junchen Jin (ITSC, 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 (ITSC, 2019)

A non-parametric Bayesian framework for traffic-state estimation at signalized intersections. - Junchen Jin; Xiaoliang Ma (Inf. Sci., 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)

Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks. - Xiaoshuang Li; Zhongzheng Guo; Xingyuan Dai; Yilun Lin 002; Junchen Jin; Fenghua Zhu; Fei-Yue Wang 001 (ITSC, 2020)

Strategic Traffic Management and Operation based on Deep Recommendation Agent. - Qingyuan Ji; Junchen Jin (ITSC, 2021)

A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections. - Michael Sederlin; Xiaoliang Ma; Junchen Jin (ITSC, 2021)

Towards Understanding and Evaluating Structural Node Embeddings. - Junchen Jin; Mark Heimann; Di Jin 003; Danai Koutra (CoRR, 2021)

Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs. - Jiong Zhu; Junchen Jin; Michael T. Schaub; Danai Koutra (CoRR, 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 002; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2021)

An Online Traffic Simulation Modeling Framework for Real-Time Road Traffic Control and Management. - Yuanqi Qin; Junchen Jin; Wen Hua; Xingyuan Dai; Xiao Wang 002 (ITSC, 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 (KDD, 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 (SMC, 2022)

SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning. - Xiaoshuang Li; Xiao Wang 002; Xinhu Zheng; Junchen Jin; Yanhao Huang; Jun Jason Zhang; Fei-Yue Wang 001 (Neurocomputing, 2022)

DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond. - Chen Zhao 016; Yisheng Lv; Junchen Jin; Yonglin Tian; Jiangong Wang; Fei-Yue Wang 001 (IEEE Intell. Transp. Syst. Mag., 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 001 (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 009; Qingyuan Ji; Haifeng Guo; Yisheng Lv; Xiaoliang Ma; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework. - Xiaoshuang Li; Peijun Ye 001; Junchen Jin; Fenghua Zhu; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Toward Understanding and Evaluating Structural Node Embeddings. - Junchen Jin; Mark Heimann; Di Jin 003; Danai Koutra (ACM Trans. Knowl. Discov. Data, 2022)

An Agent-Based Traffic Recommendation System: Revisiting and Revising Urban Traffic Management Strategies. - Junchen Jin; Dingding Rong; Yuqi Pang; Peijun Ye 001; Qingyuan Ji; Xiao Wang 002; Ge Wang; Fei-Yue Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

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 (ITSC, 2023)

A Meta-Graph Deep Learning Framework for Forecasting Air Pollutants in Stockholm. - Zhiguo Zhang; Xiaoliang Ma; Christer Johansson; Junchen Jin; Magnuz Engardt (WF-IoT, 2023)

Spatial-temporal hypergraph convolutional network for traffic forecasting. - Zhenzhen Zhao; Guojiang Shen; Junjie Zhou; Junchen Jin; Xiangjie Kong 001 (PeerJ Comput. Sci., 2023)

AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning. - Yuanqi Qin; Wen Hua; Junchen Jin; Jun Ge; Xingyuan Dai; Lingxi Li 001; Xiao Wang 002; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2023)

Trans-Sig: Knowledge Transfer for Traffic Signal Control from Spatial-Temporal Perspective. - Qingyuan Ji; Yongdong Zhu; Xin Qu; Junchen Jin (ITSC, 2024)

Urban Traffic Control Meets Decision Recommendation System: A Survey and Perspective. - Qingyuan Ji; Xiaoyue Wen; Junchen Jin; Yongdong Zhu; Yisheng Lv (IEEE CAA J. Autom. Sinica, 2024)