| 2026 | AAAI | Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition. | Yanda Zhu, Yuanyang Zhu, Daoyi Dong, Caihua Chen, Chunlin Chen |
| 2026 | ACL | Select Before Use: On the Importance of Reference Model Selection in Preference Alignment. | Muyang Li, Runze Wu, Xiangyu Zhao, Bo Han, Daoyi Dong, Tongliang Liu |
| 2025 | ICLR | PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations. | Qiang Liu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen, Daoyi Dong |
| 2025 | SMC | A Prescription-Centric Estimation Framework for Bi-Level Power System Operations with Analytical Representation. | Yuhao Jing, Fusen Guo, Chunyang Zhang, Li Qiao, Huadong Mo, Daoyi Dong |
| 2025 | SMC | A Comparative Study of Battery SOH Prediction Models: Exploration of Transformer Method with Reversible Instance Normalisation. | Runpu Wang, Zongjun Li, Fusen Guo, Daoyi Dong, Huadong Mo |
| 2024 | SMC | Quantum Robust Control for Time-Varying Noises Based on Adversarial Learning. | Haotian Ji, Sen Kuang, Daoyi Dong, Chunlin Chen |
| 2024 | SMC | Distributed Charging Scheduling and Pricing Strategy for Plug-in Electric Vehicles Based on Stackelberg-Nash and Multi-Cluster Aggregative Games. | Yuhao Jing, Jianguo Chen, Li Qiao, Huadong Mo, Daoyi Dong |
| 2024 | SMC | Sustainable Energy Planning for Community Microgrids Considering Economic, Environmental, and Resilience Factors. | Moslem Uddin, Huadong Mo, Daoyi Dong |
| 2023 | SMC | Guided Reward Design in Continuous Reinforcement Learning for Quantum Control. | Shumin Zhou, Hailan Ma, Sen Kuang, Daoyi Dong |
| 2022 | SMC | A Modified Deep Q-Learning Algorithm for Optimal and Robust Quantum Gate Design of a Single Qubit System | Omar Shindi, Qi Yu, Parth Girdhar, Daoyi Dong |
| 2022 | SMC | Learning Control with Evolution Strategy for Inhomogeneous Open Quantum Ensembles. | Chunxiang Song, Yanan Liu, David McManus, Daoyi Dong |
| 2021 | SMC | A Modified Deep Q-Learning Algorithm for Control of Two-qubit Systems. | Omar Shindi, Qi Yu, Daoyi Dong |
| 2020 | ICMLC | A Modified Q-Learning Algorithm for Control of Two-Qubit Systems. | Omar Shindi, Qi Yu, Daoyi Dong, Jiangjun Tang |
| 2020 | IJCNN | IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control. | Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong |
| 2020 | SMC | Adaptive Quantum Process Tomography via Linear Regression Estimation. | Qi Yu, Daoyi Dong, Yuanlong Wang, Ian R. Petersen |
| 2019 | SMC | Generation of accessible sets for a class of quantum spin networks. | Qi Yu, Yuanlong Wang, Daoyi Dong, Guo-Yong Xiang |
| 2018 | SMC | Stability of a Class of Linear Quantum Feedback Systems with Time Delays. | Sen Kuang, Xiujuan Lu, Daoyi Dong |
| 2018 | SMC | Quantum Filtering for a Qubit System Subject to Classical Disturbances. | Qi Yu, Daoyi Dong, Ian R. Petersen |
| 2017 | SMC | Rapid control of two-qubit systems based on measurement feedback. | Xiaqing Sun, Sen Kuang, Daoyi Dong |
| 2016 | IJCNN | Learning control of population transfer between subspaces of quantum systems using an adaptive target scheme. | Wei Zhang, Daoyi Dong, Ian R. Petersen |
| 2015 | SMC | Differential Evolution with Equally-Mixed Strategies for Robust Control of Open Quantum Systems. | Hailan Ma, Chunlin Chen, Daoyi Dong |
| 2015 | SMC | Robust Quantum Operation for Two-Level Systems Using Sampling-Based Learning Control. | Chengzhi Wu, Chunlin Chen, Bo Qi, Daoyi Dong |
| 2014 | IJCNN | Sampling-based learning control for quantum discrimination and ensemble classification. | Chunlin Chen, Daoyi Dong, Bo Qi, Ian R. Petersen, Herschel Rabitz |
| 2010 | ISKE | Quantum-inspired reinforcement learning for decision-making of Markovian state transition. | Daoyi Dong, Chunlin Chen |
| 2006 | TAMC | Grey Reinforcement Learning for Incomplete Information Processing. | Chunlin Chen, Daoyi Dong, Zonghai Chen |
| 2005 | CIS | An Autonomous Mobile Robot Based on Quantum Algorithm. | Daoyi Dong, Chunlin Chen, Chenbin Zhang, Zonghai Chen |
| 2005 | ICNC | Quantum Reinforcement Learning. | Daoyi Dong, Chunlin Chen, Zonghai Chen |