Dr. Zhaolin Yuan is currently a Associate Professor at the School of Intelligent Science and Technology, University of Science and Technology Beijing (USTB). He received his bachelor’s degree in Computer Science and Technology from USTB in 2017 and his Ph.D. in Computer Science from USTB in 2023. In 2023, he conducted postdoctoral research at Huawei’s 2012 Central Research Institute - Network Technology Laboratory, and he will begin his postdoctoral work in the Department of Industrial and Systems Engineering (ISE) at The Hong Kong Polytechnic University in 2024. Dr. Yuan has led multiple research projects in the fields of intelligent manufacturing and intelligent mining. He spearheaded the independent development of the “Intelligent Control and 3D Visualization System for Paste Backfill” and the “Auxiliary Decision-Making System for Mineral Processing Plants,” generating cumulative economic benefits of over 40 million RMB across three domestic and international mining companies. He has published more than 10 papers in top-tier artificial intelligence conferences (including AAAI) and internationally recognized high-impact journals, such as IEEE TNNLS, IEEE TII, IEEE JAS, Acta Automatica Sinica, and Tunnelling and Underground Space Technology. Additionally, he has been granted over 10 patents and software copyrights. His research interests include intelligent mining, intelligent manufacturing, large language model applications, industrial world models, industrial system optimization, and reinforcement learning.
Intelligent Mining, Intelligent Manufacturing, LLM Applications, Industrial World Model, Industrial Systems Optimization, and Reinforcement Learning, etc.
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)
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)
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)
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.
Academical Positions
Reviewer