BIMSA > 杨武岳
助理研究员 杨武岳

团队: 计算数学

办公室: A3-1-206

邮箱: yangwuyue@bimsa.cn

研究方向: 智能科学；复杂网络动力学；计算生物学；非平衡态物理

CV

个人简介

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."

出版物

  • [1] Wuyue Yang, Liangrong Peng, Guojie Li, Liu Hong, MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle, accepted by Chaos: An Interdisciplinary Journal of Nonlinear Science (2025)
  • [2] Sheng Ran, Tao Huang, Wuyue Yang*, Tailored Knowledge Distillation with Automated Loss Function Learning, PLOS ONE (2025)
  • [3] Wuyue Yang, A data-driven analysis on the mediation effect of compartment models between control measures and COVID-19 epidemics, Heliyon, 10(2024), e33850
  • [4] 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)
  • [5] 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.
  • [6] 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)
  • [7] Wuyue Yang, Liangrong Peng, Yi Zhu, and Liu Hong, Identification of hydrodynamic instability by convolutional neural networks, arXiv preprint arXiv:2006.01446 (2020)
  • [8] 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)
  • [9] Peng L, Yang W, Zhang D, Epidemic analysis of COVID-19 in China by dynamical modeling, arXiv:2002.06563 (2020)
  • [10] 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
  • [11] 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)
  • [12] Yangxuan Shi, Wuyue Yang* and Liu Hong*, Extracting Interaction Kernels for Many-Particle Systems by a Two-Phase Approach, accepted by Physics of Fluids (2025)
  • [13] 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)

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-

 

更新时间: 2025-07-30 17:00:07