代表性论著
1. Yuan, Z., Ban, X., Zhang, Z., Li, X., & Dai, H.-N. (2023). ODE-RSSM: learning stochastic recurrent state space model from irregularly sampled data. Proceedings of the AAAI Conference on Artificial Intelligence, 37(9), 11060–11068. (CCF-A 类英文会议）
2. Yuan, Z., Li, X., Wu, D., Ban, X., Wu, N.-Q., Dai, H.-N., & Wang, H. (2022). Continuous-time prediction of industrial paste thickener system with differential ODE-net[J]. IEEE/CAA Journal of Automatica Sinica, 9(4), 686–698. (中科院 1 区，IF: 15.3)
3. Yuan, Z., Zhang, Z., Li, X., Cui, Y., Li, M., & Ban, X. (2024). Controlling Partially Observed Industrial System Based on Offline Reinforcement Learning —A Case Study of Paste Thickener. IEEE Transactions on Industrial Informatics.(中科院 1 区, IF:12.3)
4. Yuan, Z., Wang, Y., Ban, X., Ning, C., Dai, H.-N., & Wang, H. (2022). Autonomous-Jump-ODENet: Identifying Continuous-Time Jump Systems for CoolingSystem Prediction[J]. IEEE Transactions on Industrial Informatics, 19(7), 7894– 7904.(中科院 1 区, IF:12.3)
5. 袁兆麟, 何润姿, 姚超, 等. 基于强化学习的浓密机底流浓度在线控制算 法 [J]. 自动化学报, 2021, 47(7): 1558-1571.(CCF-A 类中文期刊)
6. Yuan, Z., Ban, X., Han, F., Zhang, X., Yin, S., & Wang, Y. (2022). Integrated three-dimensional visualization and soft-sensing system for underground paste backfilling[J]. Tunnelling and Underground Space Technology, 127, 104578. (中科院 1 区, IF: 6.9)
7. Z. Yuan, "NetEventCause: Event-driven Root Cause Analysis for Large Network System without Topology" in IEEE Transactions on Neural Networks and Learning Systems, 2024 (中科院 1 区, IF:10.4, Accept)
8. Zhaolin Yuan, Ming Li, Chang Liu, Fangyuan Han, Haolun Huang, Hong-Ning Dai, Chat with MES: LLM-driven User Interface for Manipulating Garment Manufacturing System through Natural Language[J], Journal of Manufacturing Systems, 2025, (中科院 1 区, IF: 12.3, Accept)
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