| Electrical properties of cold-pressing welded NbTi persistent joints J Liu, J Cheng, F Zhou, Q Wang, K Chang, X Li Cryogenics 58, 62-67, 2013 | 17 | 2013 |
| Efficient EM-variational inference for nonparametric Hawkes process F Zhou, S Luo, Z Li, X Fan, Y Wang, A Sowmya, F Chen Statistics and Computing 31 (4), 1-11, 2021 | 9 | 2021 |
| Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables F Zhou, Z Li, X Fan, Y Wang, A Sowmya, F Chen Journal of Machine Learning Research, 2020 | 8* | 2020 |
| A refined MISD algorithm based on Gaussian process regression F Zhou, Z Li, X Fan, Y Wang, A Sowmya, F Chen Pacific-Asia Conference on Knowledge Discovery and Data Mining, 584-596, 2018 | 7 | 2018 |
| Numerical simulation of NbTi superconducting joint with cold-pressing welding technology F Zhou, J Cheng, J Liu, Y Dai, Q Wang, N Xiao, L Yan IEEE transactions on applied superconductivity 23 (6), 40-45, 2013 | 7 | 2013 |
| Contact resistance properties of cold-pressing superconducting joints J Cheng, L Li, F Zhou, J Liu, C Cui, X Hu, Y Dai, L Yan, S Cheng, Y Li IEEE Transactions on Applied Superconductivity 25 (3), 1-4, 2014 | 6 | 2014 |
| Investigation of orthogonal experiment for fabrication of a soldering joint for a 4-T HTS coil F Zhou, J Cheng, Y Xu, S Song, Y Dai, Q Wang IEEE Transactions on Applied Superconductivity 24 (5), 1-5, 2014 | 5 | 2014 |
| Numerical simulation of mold shape’s influence on NbTi cold-pressing superconducting joint F Zhou, J Cheng, Y Dai, Q Wang, L Yan Physica C: Superconductivity 498, 9-13, 2014 | 5 | 2014 |
| Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants F Zhou, Z Li, X Fan, Y Wang, A Sowmya, F Chen International Journal of Data Science and Analytics 10, 321–330, 2020 | 4 | 2020 |
| Efficient Inference of Flexible Interaction in Spiking-neuron Networks F Zhou, Y Zhang, J Zhu International Conference on Learning Representations 2021, 2021 | 3 | 2021 |
| Development of electromagnetic forming NbTi superconducting joint J Cheng, Q Wang, F Zhou, L Li, W Sun, S Chen, Y Dai, Y Fang, L Yan IEEE Transactions on Applied Superconductivity 26 (7), 1-5, 2016 | 2 | 2016 |
| Continuous-Time Edge Modelling Using Non-Parametric Point Processes X Fan, B Li, F Zhou, S Sisson Thirty-fifth Conference on Neural Information Processing Systems, 2021, 2021 | 1 | 2021 |
| Bias-Tolerant Fair Classification Y Zhang, F Zhou, Z Li, Y Wang, F Chen Asian Conference on Machine Learning 2021, 2021 | 1 | 2021 |
| Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds S Luo, F Zhou, L Azizi, M Sugiyama | 1 | 2020 |
| Additive poisson process: Learning intensity of higher-order interaction in stochastic processes S Luo, F Zhou, L Azizi, M Sugiyama arXiv preprint arXiv:2006.08982, 2020 | 1 | 2020 |
| Fabrication of NbTi superconducting joint by electromagnetic forming method JS Cheng, F Zhou, LK Li, CY Cui, WS Sun, YM Dai, YT Fang 2015 IEEE International Conference on Applied Superconductivity and …, 2015 | 1 | 2015 |
| Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer S Lei, Z Tu, L Rutkowski, F Zhou, L Shen, F He, D Tao arXiv preprint arXiv:2112.06281, 2021 | | 2021 |
| Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Poisson Processes S Luo, F Zhou, M Sugiyama | | 2021 |
| Nonlinear Hawkes Processes in Time-Varying System F Zhou, Q Kong, Y Zhang, C Feng, J Zhu arXiv preprint arXiv:2106.04844, 2021 | | 2021 |
| Generalized Hawkes Process: Nonparametric and Nonstationary F Zhou UNSW Sydney, 2019 | | 2019 |
Xuhui FanUniversity of New South WalesVerified email at unsw.edu.au
