Feng Zhou

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	Visi	Nuo 2018
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i10-rodyklė	4	4

20142015201620172018201920202021202220235 6 5 1 3 1 9 22 39 45

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Fang ChenDistinguished Professor, University of Technology SydneyPatvirtintas el. paštas uts.edu.au
Xuhui FanUniversity of NewcastlePatvirtintas el. paštas newcastle.edu.au
Zhidong LiUTSPatvirtintas el. paštas uts.edu.au
Jun ZhuProfessor of Computer Science, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Yixuan ZhangData Science Institute, University of Technology SydneyPatvirtintas el. paštas uts.edu.au
Jianhua LiuInstitute of Electrical Engineering, Chinese Academy of SciencesPatvirtintas el. paštas mail.iee.ac.cn
Simon LuoThe University of SydneyPatvirtintas el. paštas uni.sydney.edu.au
Zhijie DengAssistant Professor, Shanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Quyu KongAlibaba DAMO AcademyPatvirtintas el. paštas anu.edu.au
Cheng FengSiemensPatvirtintas el. paštas siemens.com
Mahito SugiyamaAssociate Professor, National Institute of InformaticsPatvirtintas el. paštas nii.ac.jp
Scott SissonProfessor of Statistics & Data Science, University of New South WalesPatvirtintas el. paštas unsw.edu.au
Bin LiFudan UniversityPatvirtintas el. paštas fudan.edu.cn
lamiae aziziAssociate Professor & Chief Scientific Officer AIPatvirtintas el. paštas sydney.edu.au
Fengxiang HeUniversity of EdinburghPatvirtintas el. paštas ed.ac.uk
Zenan LingHuazhong University of Science and TechnologyPatvirtintas el. paštas hust.edu.cn
Dacheng TaoThe University of SydneyPatvirtintas el. paštas sydney.edu.au
Leszek RutkowskiAGH Univ. of Science and Techn. and Systems Research Institute of the Polish Academy of SciencesPatvirtintas el. paštas agh.edu.pl
Li ShenJD; Tencent; SCUTPatvirtintas el. paštas jd.com
Jianfei ChenAssociate Professor, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn

Stebėti

Feng Zhou

Renmin University of China

Patvirtintas el. paštas ruc.edu.cn

statistical machine learning Bayesian method stochastic process applied superconductor


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	24	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	19	2020
Efficient Inference of Flexible Interaction in Spiking-neuron Networks F Zhou, Y Zhang, J Zhu International Conference on Learning Representations 2021, 2021	13	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	10	2021
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning Z Deng, F Zhou, J Zhu NeurIPS 2022, 2022	8	2022
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	8	2013
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	7	2018
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	7	2014
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	6*	2022
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	6	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	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
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	4	2021
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
Fair Representation Learning with Unreliable Labels Y Zhang, F Zhou, Z Li, Y Wang, F Chen AISTATS 2023, 2023	2	2023
Bias-Tolerant Fair Classification Y Zhang, F Zhou, Z Li, Y Wang, F Chen Asian Conference on Machine Learning 2021, 2021	2	2021
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	2	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	1	2022
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	1	2021
Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds S Luo, F Zhou, L Azizi, M Sugiyama NeurIPS 2020 Workshop: Deep Learning through Information Geometry, 2020	1	2020

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