Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model. - Dong Chen 016; Longsheng Jiang; Yue Wang 011; Zhaojian Li (ACC, 2020)

PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. - Dong Chen 016; Zhaojian Li; Tianshu Chu; Rui Yao; Feng Qiu; Kaixiang Lin (CoRR, 2020)

Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic. - Dong Chen 016; Zhaojian Li; Yongqiang Wang 001; Longsheng Jiang; Yue Wang 011 (CoRR, 2021)

Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems. - Dong Chen 016; Yuzhen Lu; Zhaojiang Li; Sierra N. Young (CoRR, 2021)

Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement. - Tianyu Shi; Dong Chen 016; Kaian Chen; Zhaojian Li (CoRR, 2021)

Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic. - Wei Zhou; Dong Chen 016; Jun Yan; Zhaojian Li; Huilin Yin; Wancheng Ge (Auton. Intell. Syst., 2022)

Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems. - Dong Chen 016; Yuzhen Lu; Zhaojian Li; Sierra N. Young (Comput. Electron. Agric., 2022)

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review. - Yuzhen Lu; Dong Chen 016; Ebenezer Olaniyi; Yanbo Huang (Comput. Electron. Agric., 2022)

Risk Representation, Perception, and Propensity in an Integrated Human Lane-Change Decision Model. - Longsheng Jiang; Dong Chen 016; Zhaojian Li; Yue Wang 011 (IEEE Trans. Intell. Transp. Syst., 2022)

O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments. - Pengyu Chu; Zhaojian Li; Kaixiang Zhang 001; Dong Chen 016; Kyle Lammers; Renfu Lu (CoRR, 2023)

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control. - Dong Chen 016; Kaixiang Zhang 001; Yongqiang Wang 001; Xunyuan Yin; Zhaojian Li (CoRR, 2023)

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects. - Min Hua; Dong Chen 016; Xinda Qi; Kun Jiang; Zemin Eitan Liu; Quan Zhou 006; Hongming Xu 001 (CoRR, 2023)

Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation. - Mohammad R. Hajidavalloo; Zhaojian Li; Dong Chen 016; Ali Louati; Shuo Feng 002; Wubing B. Qin (IEEE Trans. Intell. Veh., 2023)

YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems. - Fengying Dang; Dong Chen 016; Yuzhen Lu; Zhaojian Li (Comput. Electron. Agric., 2023)

Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic. - Dong Chen 016; Mohammad R. Hajidavalloo; Zhaojian Li; Kaian Chen; Yongqiang Wang 001; Longsheng Jiang; Yue Wang 011 (IEEE Trans. Intell. Transp. Syst., 2023)

Label-efficient learning in agriculture: A comprehensive review. - Jiajia Li; Dong Chen 016; Xinda Qi; Zhaojian Li; Yanbo Huang; Daniel D. Morris; Xiaobo Tan (Comput. Electron. Agric., 2023)

SoybeanNet: Transformer-based convolutional neural network for soybean pod counting from Unmanned Aerial Vehicle (UAV) images. - Jiajia Li; Raju Thada Magar; Dong Chen 016; Feng Lin 001; Dechun Wang; Xiang Yin 003; Weichao Zhuang; Zhaojian Li (Comput. Electron. Agric., 2024)

Foundation models in smart agriculture: Basics, opportunities, and challenges. - Jiajia Li; Mingle Xu; Lirong Xiang; Dong Chen 016; Weichao Zhuang; Xunyuan Yin; Zhaojian Li (Comput. Electron. Agric., 2024)

Design and Nonlinear Modeling of a Modular Cable Driven Soft Robotic Arm. - Xinda Qi; Yu Mei; Dong Chen 016; Zhaojian Li; Xiaobo Tan (CoRR, 2024)

Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection. - Jiajia Li; Dong Chen 016; Xunyuan Yin; Zhaojian Li (CoRR, 2024)

WcDT: World-centric Diffusion Transformer for Traffic Scene Generation. - Chen Yang; Aaron Xuxiang Tian; Dong Chen 016; Tianyu Shi; Arsalan Heydarian (CoRR, 2024)

Performance Evaluation of Real-Time Object Detection for Electric Scooters. - Dong Chen 016; Arman Hosseini; Arik Smith; Amir Farzin Nikkhah; Arsalan Heydarian; Omid Shoghli; Bradford Campbell (CoRR, 2024)

Impact of Different Infrastructures and Traffic Scenarios on Behavioral and Physiological Responses of E-scooter Users. - Dong Chen 016; Arman Hosseini; Arik Smith; David Xiang; Arsalan Heydarian; Omid Shoghli; Bradford Campbell (CoRR, 2024)

A Comparative Study of Deep Reinforcement Learning for Crop Production Management. - Joseph Balderas; Dong Chen 016; Yanbo Huang; Li Wang 033; Ren-Cang Li (CoRR, 2024)

Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition. - Dong Chen 016; Xinda Qi; Yu Zheng; Yuzhen Lu; Yanbo Huang; Zhaojian Li (Comput. Electron. Agric., 2024)

Event-Triggered Model Predictive Control With Deep Reinforcement Learning for Autonomous Driving. - Fengying Dang; Dong Chen 016; Jun Chen 002; Zhaojian Li (IEEE Trans. Intell. Veh., 2024)

Back-Stepping Experience Replay With Application to Model-Free Reinforcement Learning for a Soft Snake Robot. - Xinda Qi; Dong Chen 016; Zhaojian Li; Xiaobo Tan (IEEE Robotics Autom. Lett., 2024)

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control. - Dong Chen 016; Kaixiang Zhang 001; Yongqiang Wang 001; Xunyuan Yin; Zhaojian Li; Dimitar P. Filev (IEEE Trans. Intell. Veh., 2024)

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 016; Yanbo Huang (Comput. Electron. Agric., 2025)

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects. - Min Hua; Xinda Qi; Dong Chen 016; Kun Jiang; Zemin Eitan Liu; Hongyu Sun; Quan Zhou 006; Hongming Xu 001 (IEEE Trans Autom. Sci. Eng., 2025)

Multimodal Data Integration for Sustainable Indoor Gardening: Tracking Anyplant with Time Series Foundation Model. - Seyed Hamidreza Nabaei; Zeyang Zheng; Dong Chen 016; Arsalan Heydarian (CoRR, 2025)

Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion. - Zeyang Zheng; Arman Hosseini; Dong Chen 016; Omid Shoghli; Arsalan Heydarian (CoRR, 2025)

Detecting Plant VOC Traces Using Indoor Air Quality Sensors. - Seyed Hamidreza Nabaei; Ryan Lenfant; Viswajith Govinda Rajan; Dong Chen 016; Michael P. Timko; Bradford Campbell; Arsalan Heydarian (CoRR, 2025)

Communication-Efficient MARL for Platoon Stability and Energy-Efficiency Co-Optimization in Cooperative Adaptive Cruise Control of CAVs. - Min Hua; Dong Chen 016; Kun Jiang; Fanggang Zhang; Jinhai Wang; Bo Wang; Quan Zhou 006; Hongming Xu 001 (IEEE Trans. Veh. Technol., 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 016; Xin Zhang; Xunyuan Yin; Zhaojian Li (CoRR, 2025)