袁兆麟，北京科技大学智能科学与技术学院副教授。入选2025年国家资助博士后研究人员计划。2023年获得北京科技大学计算机科学博士学位，并先后在华为2012中央研究院、香港理工大学工业及系统工程系从事研究工作。主要研究方向为智能采选冶、智能制造、智能控制、大语言模型应用、工业系统优化等，带头自研了“膏体充填智能控制与三维可视化系统”及”选矿工段辅助决策系统“并在3家国内外矿企累计创造经济效益超4000万元。在AAAI、IEEE TNNLS、IEEE TII、IEEE JAS、TUST、自动化学报等顶级人工智能会议及国际高水平期刊上发表论文10余篇，获得十余项专利和软件著作权。主持包括国家自然科学基金项目、百万级企业横向项目等4项。曾获中国黄金协会科学技术奖一等奖、中国电子学会科技进步二等奖、全国博士后创新创业大赛铜奖、北京科技大学十佳学术之星、ACM-ICPC 亚洲区域赛金奖等荣誉8项。
智能矿业、智能制造、大语言模型应用、工业世界模型、工业系统优化、强化学习
Zhiyuan Ouyang, Zhaolin Yuan, Qiqi Chen, Ming Li, Zhiheng Zhao, George Huang, "Shipment Scheduling and Routing Protocols in Cyber-Physical Internet for Prefabricated Construction Modules Logistics." IEEE Transactions on Intelligent Transportation Systems, 2025. (SCI-1区, IF=8.4)
Xiaorui Li, Zhaolin Yuan, Hezheng Wang, Yong Wang, Xiaojuan Ban, "Quantification of paste homogeneity by vision-based identification method: Case study for an industrial mixer." Developments in the Built Environment, 2025. (SCI-2区, IF=6.2)
Zhaolin Yuan, Long Ma, Wenjia Wei, Xia Zhu, Mingjie Sun, Duxin Chen, Xiaojuan Ban, "NetEventCause: Event-Driven Root Cause Analysis for Large Network System Without Topology." IEEE Transactions on Neural Networks and Learning Systems, 2025. (SCI-1区, IF=10.2)
Zhaolin Yuan, ZiXuan Zhang, Xiaorui Li, Yunduan Cui, Ming Li, Xiaojuan Ban, "Controlling Partially Observed Industrial System Based on Offline Reinforcement Learning—A Case Study of Paste Thickener." IEEE Transactions on Industrial Informatics, 2025. (SCI-1区, IF=9.9)
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." Journal of Manufacturing Systems, 2025. (SCI-1区, IF=12.3)
Zhaolin Yuan, Yewan Wang, Xiaojuan Ban, Chunyu Ning, Hong-Ning Dai, Hao Wang, "Autonomous-Jump-ODENet: Identifying Continuous-Time Jump Systems for Cooling-System Prediction." IEEE Transactions on Industrial Informatics, 2023. (SCI-1区, IF=9.9)
Zhaolin Yuan, Xiaojuan Ban, Zixuan Zhang, Xiaorui Li, Hong{-}Ning Dai, "ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data." In the proceedings of Conference on Artificial Intelligence, AAAI2023, 2023. (CCF-A)
Zhaolin Yuan, Xiaojuan Ban, Fangyuan Han, Xingquan Zhang, Shenghua Yin, Yiming Wang, "Integrated three-dimensional visualization and soft-sensing system for underground paste backfilling." Tunnelling and Underground Space Technology, 2022. (SCI-1区)
李潇睿, 班晓娟, 袁兆麟, 乔浩然, "工业场景下基于深度学习的时序预测方法及应用." 工程科学学报, 2022.
Zhaolin Yuan, Xiaorui Li, Di Wu, Xiaojuan Ban, Nai-Qi Wu, Hong-Ning Dai, Hao Wang, "Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net." IEEE/CAA Journal of Automatica Sinica, 2022. (SCI-1区, IF=19.2)
袁兆麟, 何润姿, 姚超, 李佳, 班晓娟, "基于强化学习的浓密机底流浓度在线控制算法." 自动化学报, 2021. (CCF-A中文)
Jia Li, Zhaolin Yuan, Xiaojuan Ban, "An Improved Reinforcement Learning Based Heuristic Dynamic Programming Algorithm for Model-Free Optimal Control." In the proceedings of International Conference on Artificial Neural Networks, ICANN2020, 2020. (CCF-C)
Zhaolin Yuan, Jinlong Hu, Di Wu, Xiaojuan Ban, "A Dual-Attention Recurrent Neural Network Method for Deep Cone Thickener Underflow Concentration Prediction." Sensors, 2020.
Huan Wang, Zhaolin Yuan, Yibin Chen, Bingyang Shen, Aixiang Wu, "An industrial missing values processing method based on generating model." Computer Networks, 2019.
Zhaolin Yuan, Xiaojuan Ban, Jinlong Hu, "Improving Word Representation Quality Trained by word2vec via a More Efficient Hierarchical Clustering Method." In the proceedings of Cooperative Design, Visualization, and Engineering - 15th International Conference, CDVE 2018, 2018.
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