• [1] Wuyue Yang, A data-driven analysis on the mediation effect of compartment models between control measures and COVID-19 epidemics, Heliyon, 10(2024), e33850
• [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(2023), 114057
• [3] Li Feng, Wuyue Yang, Mengdong Ding, Luke Hou, Claudia Gragnoli, Christopher Griffin, and Rongling Wu, A personalized pharmaco-epistatic network model of precision medicine, Drug Discovery Today, 28(2023), 7, 103608
• [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[J]. ACS Chemical Neuroscience, 2021, 12(11), 1854-1859.
• [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(2020), 094117
• [7] Li G†, Yang W †, Li W, et al. Rational design of a cocktail of inhibitors against Aβ aggregation[J]. Chemistry–A European Journal, 2020, 26(16): 3499-3503.(†Co-first Author)
• [8] Peng L, Yang W, Zhang D, et al. Epidemic analysis of COVID-19 in China by dynamical modeling[J]. arXiv preprint arXiv:2002.06563, 2020. (†Co-first Author)
• [9] Wuyue Yang, Liangrong Peng, Yi Zhu, and Liu Hong, Identification of hydrodynamic instability by convolutional neural networks, arXiv:2006.01446(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[J]. Chemistry–A European Journal, 2018, 24(51): 13647-13653 († Co-first Author).
• [12] Yang W, MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle
• [13] H. Mofidi, M. Raissi, W. Yang , Studying Multiple Timescale Dynamics via Physics-Informed Neural Network

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-