| Dynamic Network Reconstruction from Heterogeneous Datasets Z Yue, J Thunberg, W Pan, L Ljung, J Goncalves arXiv preprint arXiv:1612.01963, 2018 | 39* | 2018 |
| Linear dynamic network reconstruction from heterogeneous datasets Z Yue, J Thunberg, W Pan, L Ljung, J Gonçalves IFAC-PapersOnLine 50 (1), 10586-10591, 2017 | 27 | 2017 |
| Sparse learning of partial differential equations with structured dictionary matrix X Li, L Li, Z Yue, X Tang, HU Voss, J Kurths, Y Yuan Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (4), 2019 | 23 | 2019 |
| Data-driven discovery of stochastic differential equations Y Wang, H Fang, J Jin, G Ma, X He, X Dai, Z Yue, C Cheng, HT Zhang, ... Engineering 17, 244-252, 2022 | 21 | 2022 |
| Data-driven discovery and understanding of ultrahigh-modulus crystals Q Shao, R Li, Z Yue, Y Wang, E Gao Chemistry of Materials 33 (4), 1276-1284, 2021 | 21 | 2021 |
| Learning hierarchical spatial-temporal graph representations for robust multivariate industrial anomaly detection J Yang, Z Yue IEEE Transactions on Industrial Informatics 19 (6), 7624-7635, 2022 | 13 | 2022 |
| Deep probabilistic graphical modeling for robust multivariate time series anomaly detection with missing data J Yang, Z Yue, Y Yuan Reliability Engineering & System Safety 238, 109410, 2023 | 12 | 2023 |
| Noise-aware sparse Gaussian processes and application to reliable industrial machinery health monitoring J Yang, Z Yue, Y Yuan IEEE Transactions on Industrial Informatics 19 (4), 5995-6005, 2022 | 10 | 2022 |
| DeceFL: a principled fully decentralized federated learning framework Y Yuan, J Liu, D Jin, Z Yue, T Yang, R Chen, M Wang, C Sun, L Xu, F Hua, ... National Science Open 2 (1), 20220043, 2023 | 8 | 2023 |
| Large-scale time series clustering with K-ARS Z Yue, V Solo ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| Dynamic network reconstruction in systems biology: Methods and algorithms Z Yue Unilu-University of Luxembourg, Luxembourg, 2018 | 7 | 2018 |
| Systems Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies Z Yue, J Thunberg, L Ljung, J Goncalves arXiv preprint arXiv:1605.08590, 2016 | 7* | 2016 |
| Inverse Problems for Matrix Exponential in System Identification: System Aliasing Z Yue, J Thunberg, J Goncalves 2016 22nd Proceedings of International Symposium on Machematical Theory of …, 2016 | 7 | 2016 |
| Dynamical structure function and Granger causality: Similarities and differences Z Yue, J Thunberg, Y Yuan, J Gonçalves 2015 54th IEEE Conference on Decision and Control (CDC), 889-894, 2015 | 7 | 2015 |
| DeceFL: A principled decentralized federated learning framework Y Yuan, J Liu, D Jin, Z Yue, R Chen, M Wang, C Sun, L Xu, F Hua, X He, ... arXiv preprint arXiv:2107.07171, 2021 | 6 | 2021 |
| A sampling theorem for exact identification of continuous-time nonlinear dynamical systems Z Zeng, Z Yue, A Mauroy, J Gonçalves, Y Yuan IEEE Transactions on Automatic Control, 2024 | 4 | 2024 |
| A state-space approach to sparse dynamic network reconstruction Z Yue, J Thunberg, L Ljung, J Goncalves arXiv preprint arXiv:1811.08677, 2018 | 4 | 2018 |
| Comparing vector networks via frequency domain persistent homology Z Yue, B Cassidy, V Solo 2021 60th IEEE Conference on Decision and Control (CDC), 126-131, 2021 | 2 | 2021 |
| Fast block-sparse estimation for vector networks Z Yue, P Sundaram, V Solo ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| Network Stability, Realisation and Random Model Generation Z Yue, J Thunberg, J Gonçalves 2019 IEEE 58th Conference on Decision and Control (CDC), 4539-4544, 2019 | 1 | 2019 |
Ye YuanHuazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
