558
个编辑
更改
跳到导航
跳到搜索
建立内容为“== 单位 == 北京师范大学系统科学学院，集智科学研究中心 == 教育背景 == 2022-至今，博士，北京师范大学，系统科学学院…”的新页面
== 单位 ==
北京师范大学系统科学学院，集智科学研究中心
== 教育背景 ==
2022-至今，博士，北京师范大学，系统科学学院，系统科学专业
2018-2022，本科，交通大学，数学与统计学院，统计学
== 研究兴趣 ==
统计学：生存分析，贝叶斯统计
系统科学：因果涌现，复杂网络
== 学术论文 ==
*Kaiwei Liu, Linli Pan, Zhipeng Wang, et al. SVD-based Causal Emergence for Gaussian Iterative Systems. arXiv:2502.08261, 2025
*Ruyi Tao, Kaiwei Liu, Xu Jing, et al. Predicting Company Growth by Econophysics informed Machine Learning. arXiv:2410.17587, 2024
*Mingzhe Yang, Zhipeng Wang, Kaiwei Liu, et al. Finding emergence in data by maximizing effective information. National Science Review, 2024, nwae279
*Kaiwei Liu, Bing Yuan, Jiang Zhang. An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems. Entropy, 2024, 26(8): 618
*Bing Yuan, Jiang Zhang, Aobo Lyu, et al. Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. Entropy, 2024, 26(2024): 108
*Kaiwei Liu, Xing Lü, Fei Gao, et al. Expectation-Maximizing Network Reconstruction and Most Applicable Network Types Based on Binary Time Series Data. Physica D: Nonlinear Phenomena, 2023, 454(2023): 133834
*Jiang Zhang, Kaiwei Liu. Neural Information Squeezer for Causal Emergence. Entropy, 2022, 25(1): 25
*Kaiwei Liu, Yuxuan Zhang. The E-Bayesian Estimation and its E-MSE of Lomax distribution under different loss functions. arXiv:2209.05356, 2022
*Yuxuan Zhang , Kaiwei Liu, Wenhao Gui. Bayesian and E-Bayesian Estimations of Bathtub-Shaped Distribution under Generalized Type-I Hybrid Censoring. Entropy, 2021, 23(8): 934
*Kaiwei Liu, Yuxuan Zhang. The E-Bayesian Estimation for Lomax Distribution Based on Generalized Type-I Hybrid Censoring Scheme. Mathematical Problems in Engineering, 2021, 2021: 19
== 学术会议 ==
2024.05， 第八届中国系统科学大会，口头报告
== 导师及合作者 ==
张江，袁冰，崔鹏，吕兴，桂文豪
张宇轩，高飞，王志鹏，杨明哲，荣英淇，吕奥博，梁京昊，牟牧云，许菁，陶如意，潘琳莉
北京师范大学系统科学学院，集智科学研究中心
== 教育背景 ==
2022-至今，博士，北京师范大学，系统科学学院，系统科学专业
2018-2022，本科，交通大学，数学与统计学院，统计学
== 研究兴趣 ==
统计学：生存分析，贝叶斯统计
系统科学：因果涌现，复杂网络
== 学术论文 ==
*Kaiwei Liu, Linli Pan, Zhipeng Wang, et al. SVD-based Causal Emergence for Gaussian Iterative Systems. arXiv:2502.08261, 2025
*Ruyi Tao, Kaiwei Liu, Xu Jing, et al. Predicting Company Growth by Econophysics informed Machine Learning. arXiv:2410.17587, 2024
*Mingzhe Yang, Zhipeng Wang, Kaiwei Liu, et al. Finding emergence in data by maximizing effective information. National Science Review, 2024, nwae279
*Kaiwei Liu, Bing Yuan, Jiang Zhang. An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems. Entropy, 2024, 26(8): 618
*Bing Yuan, Jiang Zhang, Aobo Lyu, et al. Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. Entropy, 2024, 26(2024): 108
*Kaiwei Liu, Xing Lü, Fei Gao, et al. Expectation-Maximizing Network Reconstruction and Most Applicable Network Types Based on Binary Time Series Data. Physica D: Nonlinear Phenomena, 2023, 454(2023): 133834
*Jiang Zhang, Kaiwei Liu. Neural Information Squeezer for Causal Emergence. Entropy, 2022, 25(1): 25
*Kaiwei Liu, Yuxuan Zhang. The E-Bayesian Estimation and its E-MSE of Lomax distribution under different loss functions. arXiv:2209.05356, 2022
*Yuxuan Zhang , Kaiwei Liu, Wenhao Gui. Bayesian and E-Bayesian Estimations of Bathtub-Shaped Distribution under Generalized Type-I Hybrid Censoring. Entropy, 2021, 23(8): 934
*Kaiwei Liu, Yuxuan Zhang. The E-Bayesian Estimation for Lomax Distribution Based on Generalized Type-I Hybrid Censoring Scheme. Mathematical Problems in Engineering, 2021, 2021: 19
== 学术会议 ==
2024.05， 第八届中国系统科学大会，口头报告
== 导师及合作者 ==
张江，袁冰，崔鹏，吕兴，桂文豪
张宇轩，高飞，王志鹏，杨明哲，荣英淇，吕奥博，梁京昊，牟牧云，许菁，陶如意，潘琳莉