| 2026 | AAAI | Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning. | Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao |
| 2025 | AAAI | Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games. | Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao |
| 2025 | ICLR | Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning. | Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao |
| 2025 | ICLR | Causal Information Prioritization for Efficient Reinforcement Learning. | Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao |
| 2025 | IJCNN | HDBO-B: On Benchmarking High-Dimensional Bayesian Optimization. | Yiyu Chen, Hongye Cao, Quanlin Chen, Jing Huo, Dong Li, Xu He, Yang Gao |
| 2024 | ICASSP | Multi-Agent Exploration via Self-Learning and Social Learning. | Shaokang Dong, Chao Li, Wubing Chen, Hongye Cao, Wenbin Li, Yang Gao |
| 2024 | ICASSP | Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem. | Chao Li, Shaokang Dong, Shangdong Yang, Hongye Cao, Wenbin Li, Yang Gao |
| 2023 | ECAI | Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. | Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao |
| 2022 | ICANN | Model-Based Offline Adaptive Policy Optimization with Episodic Memory. | Hongye Cao, Qianru Wei, Jiangbin Zheng, Yanqing Shi |
| 2022 | ICONIP | Cross-Domain Reinforcement Learning for Sentiment Analysis. | Hongye Cao, Qianru Wei, Jiangbin Zheng |