| Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review Y Lu, D Chen, E Olaniyi, Y Huang Computers and Electronics in Agriculture 200, 107208, 2022 | 120 | 2022 |
| Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems D Chen, Y Lu, Z Li, S Young Computers and Electronics in Agriculture 198, 107091, 2022 | 79 | 2022 |
| Deep multi-agent reinforcement learning for highway on-ramp merging in mixed traffic D Chen, MR Hajidavalloo, Z Li, K Chen, Y Wang, L Jiang, Y Wang IEEE Transactions on Intelligent Transportation Systems, 2023 | 74 | 2023 |
| YOLOWeeds: a novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems F Dang, D Chen, Y Lu, Z Li Computers and Electronics in Agriculture 205, 107655, 2023 | 66 | 2023 |
| Autonomous driving using safe reinforcement learning by incorporating a regret-based human lane-changing decision model D Chen, L Jiang, Y Wang, Z Li 2020 American Control Conference (ACC), 4355-4361, 2020 | 65 | 2020 |
| PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control D Chen, K Chen, Z Li, T Chu, R Yao, F Qiu, K Lin IEEE Transactions on Power Systems, 2021 | 60 | 2021 |
| Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic W Zhou, D Chen, J Yan, Z Li, H Yin, W Ge Autonomous Intelligent Systems 2 (1), 5, 2022 | 52 | 2022 |
| Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement T Shi, D Chen, K Chen, Z Li NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, 2021 | 23 | 2021 |
| DeepCottonWeeds (DCW): a novel benchmark of YOLO object detectors for weed detection in cotton production systems F Dang, D Chen, Y Lu, Z Li, Y Zheng 2022 ASABE Annual International Meeting, 1, 2022 | 15 | 2022 |
| A mechanical system inspired microscopic traffic model: Modeling, analysis, and validation MR Hajidavalloo, Z Li, D Chen, A Louati, S Feng, WB Qin IEEE Transactions on Intelligent Vehicles, 2022 | 15 | 2022 |
| Deep data augmentation for weed recognition enhancement: A diffusion probabilistic model and transfer learning based approach D Chen, X Qi, Y Zheng, Y Lu, Y Huang, Z Li 2023 ASABE Annual International Meeting, 1, 2023 | 11 | 2023 |
| O2rnet: Occluder-occludee relational network for robust apple detection in clustered orchard environments P Chu, Z Li, K Zhang, D Chen, K Lammers, R Lu Smart Agricultural Technology 5 (2772-3755), 100284, 2023 | 10 | 2023 |
| Event-triggered model predictive control with deep reinforcement learning for autonomous driving F Dang, D Chen, J Chen, Z Li IEEE Transactions on Intelligent Vehicles, 2023 | 9 | 2023 |
| Label-Efficient Learning in Agriculture: A Comprehensive Review J Li, D Chen, X Qi, Z Li, Y Huang, D Morris, X Tan Computers and Electronics in Agriculture 215, 108412, 2023 | 8 | 2023 |
| Risk representation, perception, and propensity in an integrated human lane-change decision model L Jiang, D Chen, Z Li, Y Wang IEEE Transactions on Intelligent Transportation Systems 23 (12), 23474-23487, 2022 | 5 | 2022 |
| Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition D Chen, X Qi, Y Zheng, Y Lu, Y Huang, Z Li Computers and Electronics in Agriculture 216, 108517, 2024 | 4 | 2024 |
| Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control D Chen, K Zhang, Y Wang, X Yin, Z Li, D Filev IEEE Transactions on Intelligent Vehicles, 2024 | 2 | 2024 |
| Multi-agent reinforcement learning for connected and automated vehicles control: Recent advancements and future prospects M Hua, D Chen, X Qi, K Jiang, ZE Liu, Q Zhou, H Xu arXiv preprint arXiv:2312.11084, 2023 | 2 | 2023 |
| Foundation models in smart agriculture: Basics, opportunities, and challenges J Li, M Xu, L Xiang, D Chen, W Zhuang, X Yin, Z Li arXiv preprint arXiv:2308.06668, 2023 | 2 | 2023 |
| Back-stepping Experience Replay with Application to Model-free Reinforcement Learning for a Soft Snake Robot X Qi, D Chen, Z Li, X Tan arXiv preprint arXiv:2401.11372, 2024 | 1 | 2024 |
