Wuyue Yang
Assistant ProfessorGroup: Theory and Computation of PDE
Office: A3-1-206
Email: yangwuyue@bimsa.cn
Research Field: AI for Science; Computational biology; Medical informatics
Biography
Dr. Wuyue Yang is currently an Assistant Professor at BIMSA. She received her PhD degree from Tsinghua University in 2022 and was honored as an Outstanding Graduate of Beijing. Her main research directions are artificial intelligence, machine learning theory and applications. She has published papers in internationally renowned academic journals such as "Journal of Computational Physics," "Journal of Chemical Physics," and "Physics of Fluids," with over 1,000 Google citations. She is the PI of a National Natural Science Foundation of China Youth Fund project and has participated as a researcher in National Key R&D Program Special Projects. She serves as a review expert for international journals including "BMC Infectious Diseases" and "AIMS Mathematics." She teaches courses including "Theory and Application of Sparse Identification of Nonlinear Dynamics (SINDy)," "Complex System Dynamics and Control," and "Collective Dynamics of Active Matter."
Education Experience
- 2017 - 2022 清华大学 应用数学 Ph.D
- 2013 - 2017 北京林业大学 数学与应用数学 D.Sc.
Work Experience
- 2022 - 北京雁栖湖应用数学研究院 助理研究员
Publication
- [1] Yangxuan Shi, Wuyue Yang* and Liu Hong*, Extracting Interaction Kernels for Many-Particle Systems by a Two-Phase Approach, Physics of Fluids, 37(3), 033331 (2025)
- [2] Yan Jiang*, Wuyue Yang*#, Yi Zhu, and Liu Hong#, Entropy Structure Informed Learning for Solving Inverse Problems of Differential Equations, Chaos, Solitons and Fractals, 175, 114057 (2023)
- [3] Yan Jiang, Zhijun Zeng, Wuyue Yang, Liu Hong, Pipi Hu, Yi Zhu, STWCR: Weak collocation regression for revealing hidden stochastic dynamics from single trajectory data, Applied Mathematics and Computation, 521, 129958 (2026)
- [4] Mingzhi Li, Dongyan Zhang, Xiaoqiang Sun, Wuyue Yang#, Liu Hong#, HybridGRN: A Robust Framework for Gene Regulatory Network Inference Based on Local Topology and Dynamic Thresholds, Data Analytics and Topology , 1, 117–131 (2026)
- [5] Wuyue Yang, Liangrong Peng, Guojie Li, Liu Hong, MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle, Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(9), 093148 (2025)
- [6] Guojie Li, Sheng Ran, Wuyue Yang#, Liu Hong#, Improving generalization ability of deep-learning-based ODE solvers using continuous dependence, npj Artificial Intelligence, 1(1), 22 (2025)
- [7] Sheng Ran, Tao Huang, Wuyue Yang*, Tailored Knowledge Distillation with Automated Loss Function Learning, PLOS ONE, 20(6), e0325599 (2025)
- [8] Xinyu Zhang, Haiyang Jia, Wuyue Yang, Liangrong Peng, Liu Hong, Thermodynamics for reduced models of polymer aggregation based on maximum entropy principle, The Journal of Chemical Physics, 162(16), 164901 (2025)
- [9] Dongyan Zhang*, Wuyue Yang*, Wanqi Wen, Liangrong Peng, Changjing Zhuge#, Liu Hong#, A data-driven analysis on the mediation effect of compartment models between control measures and COVID-19 epidemics, Heliyon, 10(13), e33850 (2024)
- [10] Pipi Hu, Wuyue Yang, Yi Zhu, and Liu Hong, Revealing hidden dynamics from time-series data by ODENet, Journal of Computational Physics, 461, 111203 (2022)
- [11] Li G, Zhou Y, Yang W, et al., Inhibitory Effects of Sulfated Polysaccharides from the Sea Cucumber Cucumaria Frondosa against Aβ40 Aggregation and Cytotoxicity, ACS Chemical Neuroscience, 12(11), 1854-1859 (2021)
- [12] Yang W, Zhang D, Peng L, et al. Rational evaluation of various epidemic models based on the COVID-19 data of China[J]. Epidemics, 2021: 100501.
- [13] Wuyue Yang, Liangrong Peng, Yi Zhu, and Liu Hong, When machine learning meets multiscale modeling in chemical reactions, The Journal of Chemical Physics, 153(9), 094117 (2020)
- [14] Wuyue Yang, Liangrong Peng, Yi Zhu, and Liu Hong, Identification of hydrodynamic instability by convolutional neural networks, arXiv preprint arXiv:2006.01446 (2020)
- [15] Li G, Yang W, Li W, et al., Rational design of a cocktail of inhibitors against Aβ aggregation, Chemistry–A European Journal, 26(16), 3499-3503 (2020)
- [16] Peng L, Yang W, Zhang D, Epidemic analysis of COVID-19 in China by dynamical modeling, arXiv:2002.06563 (2020)
- [17] Wuyue Yang, Pengzhen Tan, Xianjun Fu, and Liu Hong, Prediction of amyloid aggregation rates by machine learning and feature selection, The Journal of chemical physics, 151(2019), 8, 084106
- [18] Li G, Yang W, Zhao Y, et al., Differential Modulation of the Aggregation of N Terminal Truncated Aβ using Cucurbiturils, Chemistry–A European Journal, 24(51), 13647-13653 (2018)
PhD Students:
Sheng Ran, Joint training program at Renmin University, Working on AI for Science, 2024-
Zhou Yao, Joint training program at Beinghang University, Working on Option Pricing, 2023-
Update Time: 2026-03-30 18:00:09