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Jiqian Dong

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Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles

Aug 29, 2023
Jiaming Wang, Jiqian Dong, Sikai Chen, Shreyas Sundaram, Samuel Labi

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Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories

Aug 28, 2023
Jiqian Dong, Sikai Chen, Samuel Labi

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Development and testing of an image transformer for explainable autonomous driving systems

Oct 11, 2021
Jiqian Dong, Sikai Chen, Shuya Zong, Tiantian Chen, Mohammad Miralinaghi, Samuel Labi

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Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV

Oct 11, 2021
Jiqian Dong, Sikai Chen, Samuel Labi

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Reason induced visual attention for explainable autonomous driving

Oct 11, 2021
Sikai Chen, Jiqian Dong, Runjia Du, Yujie Li, Samuel Labi

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Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture

Oct 11, 2021
Runjia Du, Sikai Chen, Jiqian Dong, Tiantian Chen, Xiaowen Fu, Samuel Labi

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A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network

Oct 12, 2020
Jiqian Dong, Sikai Chen, Paul Young Joun Ha, Yujie Li, Samuel Labi

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Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion

Oct 12, 2020
Paul Young Joun Ha, Sikai Chen, Jiqian Dong, Runjia Du, Yujie Li, Samuel Labi

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Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control

Sep 30, 2020
Jiqian Dong, Sikai Chen, Yujie Li, Runjia Du, Aaron Steinfeld, Samuel Labi

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A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery

Dec 01, 2018
Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu

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