中文English
科研论文

1.Qiyang Ge, Xuelin Huang, Shenying Fang, Yuanyuan Liu, Wei Lin and Momiao Xiong*. Conditional generative adversarial networks for individualized treatment effect estimation and treatment selection. Frontiers in Genetics: Statistical Genetics and Methodology, [2020],11:585804. 

2.Peng Ji*, Wei Lin and Jürgen Kurths. Asymptotic scaling describing signal propagation in complex networks. Nature Physics, Matters Arising, [2020],16(11):1082-1083. 

3.Jiachen Ye, Peng Ji*, David Waxman, Wei Lin, and Yamir Moreno*. Impact of intra and inter-cluster coupling balance on the performance of nonlinear networked systems. Chaos, Solitons & Fractals, [2020],139: 110065. 

4.Yang Tang, Jürgen Kurths*, Wei Lin, Edward Ott and Ljupco Kocarev. Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamics. CHAOS, Editorial,  [2020],30(6):063151. 

5.Siyang Leng, Huanfei Ma, Jürgen Kurths, Ying-Cheng Lai, Wei Lin*, Kazuyuki Aihara* and Luonan Chen*. Partial cross mapping eliminates indirect causal influences. Nature Communications,  [2020],11:2632. 

6.Leheng Fang, Jiawen Hou, Junjie Lai, Zhen Jin, Ye Yao, Na He, Zhongxue Gan and Wei Lin*. Mathematical modeling of COVID-19 spreading dynamics based on a real megapolis map: An elementary study of computational simulations and intervention strategies (in Chinese). Acta Mathematicae Applicatae Sinica (应用数学学报),  [2020],43(2): 382-400. 

7.Peng Ji*, Lipeng Zhu, Chao Lu, Wei Lin and Juergen Kurths. How price-based frequency regulation impacts stability in power grids: A complex network perspectives. Complexity,  [2020]: 6297134. 

8.Kunquan Lan and Wei Lin. Positive solutions of elliptic boundary value problems and applications to population dynamics. Journal of Dynamics and Differential Equations, [2020], 32: 873–894. 

9.Kai Shi, Wei Lin and Xingming Zhao. Identifying molecular biomarkers for diseases with machine learning based on integrative omics. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Regular Paper,  [2020],18(6):2514-2525. 

10.Qiang Li, Paul Schultz, Wei Lin, Jürgen Kurths and Peng Ji*.  Global and local performance metric with inertia effects. Nonlinear Dynamics,  [2020],102:653–665.

科研论文

1.Qiyang Ge, Xuelin Huang, Shenying Fang, Yuanyuan Liu, Wei Lin and Momiao Xiong*. Conditional generative adversarial networks for individualized treatment effect estimation and treatment selection. Frontiers in Genetics: Statistical Genetics and Methodology, [2020],11:585804. 

2.Peng Ji*, Wei Lin and Jürgen Kurths. Asymptotic scaling describing signal propagation in complex networks. Nature Physics, Matters Arising, [2020],16(11):1082-1083. 

3.Jiachen Ye, Peng Ji*, David Waxman, Wei Lin, and Yamir Moreno*. Impact of intra and inter-cluster coupling balance on the performance of nonlinear networked systems. Chaos, Solitons & Fractals, [2020],139: 110065. 

4.Yang Tang, Jürgen Kurths*, Wei Lin, Edward Ott and Ljupco Kocarev. Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamics. CHAOS, Editorial,  [2020],30(6):063151. 

5.Siyang Leng, Huanfei Ma, Jürgen Kurths, Ying-Cheng Lai, Wei Lin*, Kazuyuki Aihara* and Luonan Chen*. Partial cross mapping eliminates indirect causal influences. Nature Communications,  [2020],11:2632. 

6.Leheng Fang, Jiawen Hou, Junjie Lai, Zhen Jin, Ye Yao, Na He, Zhongxue Gan and Wei Lin*. Mathematical modeling of COVID-19 spreading dynamics based on a real megapolis map: An elementary study of computational simulations and intervention strategies (in Chinese). Acta Mathematicae Applicatae Sinica (应用数学学报),  [2020],43(2): 382-400. 

7.Peng Ji*, Lipeng Zhu, Chao Lu, Wei Lin and Juergen Kurths. How price-based frequency regulation impacts stability in power grids: A complex network perspectives. Complexity,  [2020]: 6297134. 

8.Kunquan Lan and Wei Lin. Positive solutions of elliptic boundary value problems and applications to population dynamics. Journal of Dynamics and Differential Equations, [2020], 32: 873–894. 

9.Kai Shi, Wei Lin and Xingming Zhao. Identifying molecular biomarkers for diseases with machine learning based on integrative omics. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Regular Paper,  [2020],18(6):2514-2525. 

10.Qiang Li, Paul Schultz, Wei Lin, Jürgen Kurths and Peng Ji*.  Global and local performance metric with inertia effects. Nonlinear Dynamics,  [2020],102:653–665.