Publications

You can also find my articles on my Google Scholar profile.

Preprints & Under Review

• A Comparative Study of Deep Reinforcement Learning for Crop Production Management
  Joseph Balderas, Chen, Dong, Yanbo Huang, Li Wang, Ren-Cang Li
  [Arxiv]

• Integrating Reinforcement Learning and Large Language Models for Crop Production Process Management Optimization and Control through A New Knowledge-Based Deep Learning Paradigm
  Chen, Dong, Yanbo Huang
  [Arxiv]

• Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
  Min Hua, Chen, Dong, Xinda Qi, Kun Jiang, Zemin Eitan Liu, Quan Zhou, Hongming Xu
  [Arxiv] [Codes]

• Automated testing of mobile devices using behavioral learning
  Fredericks, Tor, and Chen, Dong
  U.S. Patent Application 17/674,557, filed June 2, 2022.
  [Link]

Patents

• Automated testing of mobile devices using visual analysis
  Chen, Dong, Anqi Luo, Pei Zheng, and Tor Fredericks
  U.S. Patent Application, US12026084B2
  [Link]

Survey and Vision Papers

1. Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
   Li, Jiajia, Mingle Xu, Lirong Xiang, Chen, Dong, Weichao Zhuang, Xunyuan Yin, and Zhaojian Li
   Computers and Electronics in Agriculture, 2024
   [Paper] [Arxiv] [Codes]

2. Label-Efficient Learning in Agriculture: A Comprehensive Review
   Li, Jiajia, Chen, Dong, Xinda Qi, Zhaojian Li, Yanbo Huang, Daniel Morris, and Xiaobo Tan
   Computers and Electronics in Agriculture, 2023
   [Paper] [Arxiv] [Codes]

3. Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
   Lu, Yuzhen, Chen, Dong, Ebenezer Olaniyi, and Yanbo Huang
   Computers and Electronics in Agriculture, 2022
   [Paper] [Arxiv] [Codes]

Journal Papers

1. Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs
   Min Hua, Chen, Dong, Kun Jiang, Fanggang Zhang, Jinhai Wang, Bo Wang, Quan Zhou, Hongming Xu
   IEEE Transactions on Vehicle Technology, 2024
   [Arxiv]

2. Sequential Service Restoration with Grid-Interactive Flexibility from Building AC Systems for Resilient Microgrids under Endogenous and Exogenous Uncertainties
   Cheng Ma, Shunbo Lei, Chen, Dong, Chong Wang, Nikos D. Hatziargyriou, Ziyou Song
   Applied Energy, 2024
   [Paper]

3. Performance Evaluation of Semi-Supervised Learning Frameworks for Multi-Class Weed Detection
   Li, Jiajia, Chen, Dong, Xunyuan Yin, and Zhaojian Li
   Frontiers in Plant Science, 2024
   [Paper] [Arxiv] [Codes]

4. Back-stepping Experience Replay with Application to Model-free Reinforcement Learning for a Soft Snake Robot
   Xinda Qi, Chen, Dong*, Zhaojian Li, Xiaobo Tan
   IEEE Robotics and Automation Letters, 2024
   [Paper] [Arxiv]

5. Design and Nonlinear Modeling of a Modular Cable-Driven Soft Robotic Arm
   Xinda Qi, Yu Mei, Chen, Dong, Zhaojian Li, Xiaobo Tan
   IEEE Transactions on Mechatronics, 2024
   [Paper] [Arxiv]

6. 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
   Computers and Electronics in Agriculture, 2023
   [Paper] [Arxiv] [Dataset] [Codes]

7. Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control
   Chen, Dong, Kaixiang Zhang, Yongqiang Wang, Xunyuan Yin, Zhaojian Li, Dimitar Filev
   IEEE Transactions on Intelligent Vehicles, 2024
   [Paper] [Arxiv] [Codes]

8. Synthetic Data Augmentation by Diffusion Probabilistic Models to Enhance Weed Recognition
   Chen, Dong, Xinda Qi, Yu Zheng, Yuzhen Lu, Yanbo Huang, and Zhaojian Li
   Computers and Electronics in Agriculture, 2024
   [Paper] [Arxiv] [Codes]

9. Event-triggered model predictive control with deep reinforcement learning for autonomous driving
   Dang, Fengying, Chen, Dong, Jun Chen, and Zhaojian Li
   IEEE Transactions on Intelligent Vehicles, 2023
   [Paper] [Arxiv] [Codes1] [Codes2]

10. Deep multi-agent reinforcement learning for highway on-ramp merging in mixed traffic
    Chen, Dong, Mohammad R. Hajidavalloo, Zhaojian Li, Kaian Chen, Yongqiang Wang, Longsheng Jiang, and Yue Wang
    IEEE Transactions on Intelligent Transportation Systems, 2023
    [Paper] [Arxiv] [Codes]

11. O2rnet: Occluder-occludee relational network for robust apple detection in clustered orchard environments
    Chu, Pengyu, Zhaojian Li, Kaixiang Zhang, Chen, Dong, Kyle Lammers, and Renfu Lu
    Smart Agriculture Technology, 2023
    [Paper] [Arxiv] [Codes]

12. YOLOWeeds: a novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
    Dang, Fengying, Chen, Dong*, Yuzhen Lu, and Zhaojian Li
    Computers and Electronics in Agriculture, 2023
    [Paper] [Codes]

13. Risk Representation, Perception, and Propensity in an Integrated Human Lane-Change Decision Model
    Jiang, Longsheng, Chen, Dong, Zhaojian Li, and Yue Wang
    IEEE Transactions on Intelligent Transportation Systems, 2022
    [Paper] [Codes1] [Codes2]

14. Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems
    Chen, Dong, Yuzhen Lu, Zhaojian Li, and Sierra Young
    Computers and Electronics in Agriculture, 2022
    [Paper] [Arxiv] [Codes]

15. Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic
    Zhou, Wei, Chen, Dong, Jun Yan, Zhaojian Li, Huilin Yin, and Wanchen Ge
    Autonomous Intelligent Systems, 2022
    [Paper]

16. Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation
    Hajidavalloo, Mohammad R., Zhaojian Li, Chen, Dong, Ali Louati, Shuo Feng, and Wubing B. Qin
    IEEE Transactions on Intelligent Vehicles, 2022
    [Paper] [Arxiv] [Codes]

17. Powernet: Multi-agent deep reinforcement learning for scalable powergrid control
    Chen, Dong, Kaian Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, and Kaixiang Lin
    IEEE Transactions on Power Systems 37, no. 2 (2021): 1007-1017
    [Paper] [Arxiv] [Codes]

Conference Papers

1. Performance evaluation of real-time object detection for electric scooters
   Dong Chen, Arman Hosseini, Arik Smith, Amir Farzin Nikkhah, Arsalan Heydarian, Omid Shoghli, and Bradford Campbell
   ACSE’s International Conference on Computing in Civil Engineering., 2024.

2. ML/DL in Agriculture through Label-Efficient Learning
   Li, Jiajia, Chen, Dong, Zhaojian Li, Yanbo Huang, and Daniel Morris
   ASABE Annual International Meeting, 2023.

3. Deep data augmentation for weed recognition enhancement: A diffusion probabilistic model and transfer learning based approach
   Chen, Dong, Xinda Qi, Yu Zheng, Yuzhen Lu, Yanbo Huang, and Zhaojian Li
   ASABE Annual International Meeting, 2023.

4. DeepCottonWeeds (DCW): a novel benchmark of YOLO object detectors for weed detection in cotton production systems
   Dang, Fengying, Chen, Dong, Yuzhen Lu, Zhaojian Li, and Yu Zheng.
   ASABE Annual International Meeting, 2022

5. Offline reinforcement learning for autonomous driving with safety and exploration enhancement
   Shi, Tianyu, Chen, Dong, Kaian Chen, and Zhaojian Li
   NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, 2021

6. Autonomous driving using safe reinforcement learning by incorporating a regret-based human lane-changing decision model
   Chen, Dong, Longsheng Jiang, Yue Wang, and Zhaojian Li
   American Control Conference (ACC), 2020