Feng Zhou
Cited by
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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
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
Efficient Inference of Flexible Interaction in Spiking-neuron Networks
F Zhou, Y Zhang, J Zhu
International Conference on Learning Representations 2021, 2021
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), 46, 2021
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
F Zhou, Q Kong, Z Deng, J Kan, Y Zhang, C Feng, J Zhu
Journal of Machine Learning Research 23, 1-49, 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Z Deng, F Zhou, J Zhu
NeurIPS 2022, 2022
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
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
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
A refined MISD algorithm based on Gaussian process regression
F Zhou, Z Li, X Fan, Y Wang, A Sowmya, F Chen
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
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
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
Revisiting logistic-softmax likelihood in bayesian meta-learning for few-shot classification
T Ke, H Cao, Z Ling, F Zhou
Advances in Neural Information Processing Systems 36, 2024
Fair Representation Learning with Unreliable Labels
Y Zhang, F Zhou, Z Li, Y Wang, F Chen
AISTATS 2023, 2023
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
Deep ensemble as a Gaussian process approximate posterior
Z Deng, F Zhou, J Chen, G Wu, J Zhu
arXiv preprint arXiv:2205.00163, 2022
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
pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints
Y Mou, J Geng, F Zhou, O Beyan, C Rong, S Decker
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 283-294, 2023
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
Bias-Tolerant Fair Classification
Y Zhang, F Zhou, Z Li, Y Wang, F Chen
Asian Conference on Machine Learning 2021, 2021
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