刘凯威

来自集智百科 - 复杂系统|人工智能|复杂科学|复杂网络|自组织
千伏电压(讨论 | 贡献)2025年7月27日 (日) 19:12的版本 (→‎研究兴趣)
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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
  • 2018-2022,本科,北京交通大学,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

导师

硕士、博士:张江

本科:吕兴,桂文豪

合著作者

袁冰,崔鹏

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