| Expectation-maximizing network reconstruction and most applicable network types based on binary time series data K Liu, X Lü, F Gao, J Zhang Physica D: Nonlinear Phenomena 454, 133834, 2023 | 32 | 2023 |
| Neural information squeezer for causal emergence J Zhang, K Liu Entropy 25 (1), 26, 2022 | 12 | 2022 |
| The E-bayesian estimation for Lomax distribution based on generalized type-I hybrid censoring scheme K Liu, Y Zhang Mathematical Problems in Engineering 2021, 1-19, 2021 | 5 | 2021 |
| Bayesian and e-bayesian estimations of bathtub-shaped distribution under generalized type-i hybrid censoring Y Zhang, K Liu, W Gui Entropy 23 (8), 934, 2021 | 2 | 2021 |
| Emergence and causality in complex systems: A survey of causal emergence and related quantitative studies B Yuan, J Zhang, A Lyu, J Wu, Z Wang, M Yang, K Liu, M Mou, P Cui Entropy 26 (2), 108, 2024 | 1 | 2024 |
| Finding emergence in data: causal emergence inspired dynamics learning M Yang, Z Wang, K Liu, Y Rong, B Yuan, J Zhang arXiv preprint arXiv:2308.09952, 2023 | 1 | 2023 |
| The E-Bayesian Estimation and its E-MSE of Lomax distribution under different loss functions K Liu, Y Zhang arXiv preprint arXiv:2209.05356, 2022 | | 2022 |
Jiang ZhangBeijing Normal UniversityVerified email at bnu.edu.cn
