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2020 – today
- 2024
[j17]Qingyuan Ji
, Xiaoyue Wen, Junchen Jin, Yongdong Zhu, Yisheng Lv:
Urban Traffic Control Meets Decision Recommendation System: A Survey and Perspective. IEEE CAA J. Autom. Sinica 11(10): 2043-2058 (2024)- 2023
- [j16]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): 1871-1881 (2023) - [j15]Zhenzhen Zhao, Guojiang Shen, Junjie Zhou, Junchen Jin, Xiangjie Kong:
Spatial-temporal hypergraph convolutional network for traffic forecasting. PeerJ Comput. Sci. 9: e1450 (2023) - [c13]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: 5627-5632 - [c12]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: 1-6 - 2022
- [j14]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: 300-309 (2022) - [j13]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): 6-17 (2022) - [j12]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): 5128-5137 (2022) - [j11]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): 7332-7342 (2022) - [j10]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): 16185-16196 (2022) - [j9]Junchen Jin, Mark Heimann, Di Jin, Danai Koutra:
Toward Understanding and Evaluating Structural Node Embeddings. ACM Trans. Knowl. Discov. Data 16(3): 58:1-58:32 (2022) - [j8]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): 7289-7301 (2022) - [c11]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: 2175-2181 - [c10]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: 2637-2647 - [c9]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: 339-346 - 2021
- [j7]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): 1616-1626 (2021) - [c8]Qingyuan Ji, Junchen Jin:
Strategic Traffic Management and Operation based on Deep Recommendation Agent. ITSC 2021: 1199-1204 - [c7]Michael Sederlin, Xiaoliang Ma, Junchen Jin:
A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections. ITSC 2021: 3604-3609 - [i2]Junchen Jin, Mark Heimann, Di Jin, Danai Koutra:
Towards Understanding and Evaluating Structural Node Embeddings. CoRR abs/2101.05730 (2021) - [i1]Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra:
Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs. CoRR abs/2106.07767 (2021) - 2020
- [c6]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: 1-6
2010 – 2019
- 2019
- [j6]Junchen Jin, Xiaoliang Ma:
A non-parametric Bayesian framework for traffic-state estimation at signalized intersections. Inf. Sci. 498: 21-40 (2019) - [j5]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): 3900-3912 (2019) - [c5]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: 2195-2200 - [c4]Qinrui Tang, Junchen Jin:
Left turn phasing type determination at isolated intersections solved by a genetic algorithm. ITSC 2019: 4236-4241 - 2018
- [b1]Junchen Jin:
Advance Traffic Signal Control Systems with Emerging Technologies. KTH Royal Institute of Technology, Sweden, 2018 - [j4]Junchen Jin, Xiaoliang Ma:
Hierarchical multi-agent control of traffic lights based on collective learning. Eng. Appl. Artif. Intell. 68: 236-248 (2018) - 2017
- [j3]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: 348-360 (2017) - [j2]Junchen Jin, Xiaoliang Ma:
A group-based traffic signal control with adaptive learning ability. Eng. Appl. Artif. Intell. 65: 282-293 (2017) - [c3]Junchen Jin, Xiaoliang Ma:
A multi-objective multi-agent framework for traffic light control. ASCC 2017: 1199-1204 - 2016
- [j1]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: 5804626:1-5804626:11 (2016) - 2015
- [c2]Junchen Jin, Xiaoliang Ma:
Adaptive Group-Based Signal Control Using Reinforcement Learning with Eligibility Traces. ITSC 2015: 2412-2417 - 2014
- [c1]Junchen Jin, Xiaoliang Ma:
Implementation and optimization of group-based signal control in traffic simulation. ITSC 2014: 2517-2522
Coauthor Index
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