Feng Zhou
Title
Cited by
Cited by
Year
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
122013
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
62018
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
52013
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
42014
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
3*2020
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
32020
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
32014
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
22014
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
12021
Efficient Inference of Flexible Interaction in Spiking-neuron Networks
F Zhou, Y Zhang, J Zhu
International Conference on Learning Representations 2021, 2021
12021
Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds
S Luo, F Zhou, L Azizi, M Sugiyama
12020
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
12020
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
12016
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
12015
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
2021
Bias-Tolerant Fair Classification
Y Zhang, F Zhou, Z Li, Y Wang, F Chen
Asian Conference on Machine Learning 2021, 2021
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
Signature 3, 12, 2019
2019
Hawkes process with stochastic triggering kernel
F Zhou, Y Zhang, Z Li, X Fan, Y Wang, A Sowmya, F Chen
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019
2019
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