Dong Chen

According to our database, Dong Chen authored at least 37 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond.

Jiajia Li, Xinda Qi, Seyed Hamidreza Nabaei, Meiqi Liu, Dong Chen, Xin Zhang, Xunyuan Yin, Zhaojian Li

CoRR, May, 2025

Communication-Efficient MARL for Platoon Stability and Energy-Efficiency Co-Optimization in Cooperative Adaptive Cruise Control of CAVs.

Min Hua, Dong Chen, Kun Jiang, Fanggang Zhang, Jinhai Wang, Bo Wang, Quan Zhou, Hongming Xu

IEEE Trans. Veh. Technol., April, 2025

Detecting Plant VOC Traces Using Indoor Air Quality Sensors.

Seyed Hamidreza Nabaei, Ryan Lenfant, Viswajith Govinda Rajan, Dong Chen, Michael P. Timko, Bradford Campbell, Arsalan Heydarian

CoRR, April, 2025

Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion.

Zeyang Zheng, Arman Hosseini, Dong Chen, Omid Shoghli, Arsalan Heydarian

CoRR, April, 2025

Multimodal Data Integration for Sustainable Indoor Gardening: Tracking Anyplant with Time Series Foundation Model.

Seyed Hamidreza Nabaei, Zeyang Zheng, Dong Chen, Arsalan Heydarian

CoRR, March, 2025

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning.

Chengkai Xu, Jiaqi Liu, Shiyu Fang, Yiming Cui, Dong Chen, Peng Hang, Jian Sun

CoRR, February, 2025

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects.

Min Hua, Xinda Qi, Dong Chen, Kun Jiang, Zemin Eitan Liu, Hongyu Sun, Quan Zhou, Hongming Xu

IEEE Trans Autom. Sci. Eng., 2025

Integrating reinforcement learning and large language models for crop production process management optimization and control through a new knowledge-based deep learning paradigm.

Dong Chen, Yanbo Huang

Comput. Electron. Agric., 2025

Wcdt: World-Centric Diffusion Transformer for Traffic Scene Generation.

Chen Yang, Yangfan He, Aaron Xuxiang Tian, Dong Chen, Jianhui Wang, Tianyu Shi, Arsalan Heydarian, Pei Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control.

Dong Chen, Kaixiang Zhang, Yongqiang Wang, Xunyuan Yin, Zhaojian Li, Dimitar P. Filev

IEEE Trans. Intell. Veh., October, 2024

Back-Stepping Experience Replay With Application to Model-Free Reinforcement Learning for a Soft Snake Robot.

Xinda Qi, Dong Chen, Zhaojian Li, Xiaobo Tan

IEEE Robotics Autom. Lett., September, 2024

Event-Triggered Model Predictive Control With Deep Reinforcement Learning for Autonomous Driving.

Fengying Dang, Dong Chen, Jun Chen, Zhaojian Li

IEEE Trans. Intell. Veh., January, 2024

Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition.

Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Yanbo Huang, Zhaojian Li

Comput. Electron. Agric., January, 2024

A Comparative Study of Deep Reinforcement Learning for Crop Production Management.

Joseph Balderas, Dong Chen, Yanbo Huang, Li Wang, Ren-Cang Li

CoRR, 2024

Impact of Different Infrastructures and Traffic Scenarios on Behavioral and Physiological Responses of E-scooter Users.

Dong Chen, Arman Hosseini, Arik Smith, David Xiang, Arsalan Heydarian, Omid Shoghli, Bradford Campbell

CoRR, 2024

Performance Evaluation of Real-Time Object Detection for Electric Scooters.

Dong Chen, Arman Hosseini, Arik Smith, Amir Farzin Nikkhah, Arsalan Heydarian, Omid Shoghli, Bradford Campbell

CoRR, 2024

WcDT: World-centric Diffusion Transformer for Traffic Scene Generation.

Chen Yang, Aaron Xuxiang Tian, Dong Chen, Tianyu Shi, Arsalan Heydarian

CoRR, 2024

Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection.

Jiajia Li, Dong Chen, Xunyuan Yin, Zhaojian Li

CoRR, 2024

Design and Nonlinear Modeling of a Modular Cable Driven Soft Robotic Arm.

Xinda Qi, Yu Mei, Dong Chen, Zhaojian Li, Xiaobo Tan

CoRR, 2024

Foundation models in smart agriculture: Basics, opportunities, and challenges.

Jiajia Li, Mingle Xu, Lirong Xiang, Dong Chen, Weichao Zhuang, Xunyuan Yin, Zhaojian Li

Comput. Electron. Agric., 2024

SoybeanNet: Transformer-based convolutional neural network for soybean pod counting from Unmanned Aerial Vehicle (UAV) images.

Jiajia Li, Raju Thada Magar, Dong Chen, Feng Lin, Dechun Wang, Xiang Yin, Weichao Zhuang, Zhaojian Li

Comput. Electron. Agric., 2024

2023

Label-efficient learning in agriculture: A comprehensive review.

Jiajia Li, Dong Chen, Xinda Qi, Zhaojian Li, Yanbo Huang, Daniel D. Morris, Xiaobo Tan

Comput. Electron. Agric., December, 2023

Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic.

Dong Chen, Mohammad R. Hajidavalloo, Zhaojian Li, Kaian Chen, Yongqiang Wang, Longsheng Jiang, Yue Wang

IEEE Trans. Intell. Transp. Syst., November, 2023

YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems.

Fengying Dang, Dong Chen, Yuzhen Lu, Zhaojian Li

Comput. Electron. Agric., February, 2023

Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation.

Mohammad R. Hajidavalloo, Zhaojian Li, Dong Chen, Ali Louati, Shuo Feng, Wubing B. Qin

IEEE Trans. Intell. Veh., January, 2023

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects.

Min Hua, Dong Chen, Xinda Qi, Kun Jiang, Zemin Eitan Liu, Quan Zhou, Hongming Xu

CoRR, 2023

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control.

Dong Chen, Kaixiang Zhang, Yongqiang Wang, Xunyuan Yin, Zhaojian Li

CoRR, 2023

O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments.

Pengyu Chu, Zhaojian Li, Kaixiang Zhang, Dong Chen, Kyle Lammers, Renfu Lu

CoRR, 2023

2022

Risk Representation, Perception, and Propensity in an Integrated Human Lane-Change Decision Model.

Longsheng Jiang, Dong Chen, Zhaojian Li, Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review.

Yuzhen Lu, Dong Chen, Ebenezer Olaniyi, Yanbo Huang

Comput. Electron. Agric., 2022

Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems.

Dong Chen, Yuzhen Lu, Zhaojian Li, Sierra N. Young

Comput. Electron. Agric., 2022

Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic.

Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li, Huilin Yin, Wancheng Ge

Auton. Intell. Syst., 2022

2021

Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement.

Tianyu Shi, Dong Chen, Kaian Chen, Zhaojian Li

CoRR, 2021

Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems.

Dong Chen, Yuzhen Lu, Zhaojiang Li, Sierra N. Young

CoRR, 2021

Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic.

Dong Chen, Zhaojian Li, Yongqiang Wang, Longsheng Jiang, Yue Wang

CoRR, 2021

2020

PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control.

Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin

CoRR, 2020

Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model.

Dong Chen, Longsheng Jiang, Yue Wang, Zhaojian Li

Proceedings of the 2020 American Control Conference, 2020