Zhidi Lin

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	Total	Desde 2019
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Feng YINThe Chinese University of Hong Kong, ShenzhenDirección de correo verificada de cuhk.edu.cn
Shuguang CuiDistinguished Presidential Chair Professor, School of Science and Engineering, CUHKSZDirección de correo verificada de cuhk.edu.cn
Sergios TheodoridisNational and Kapodistrian University of Athens, Greece and Aalborg University DenmarkDirección de correo verificada de di.uoa.gr
Dongliang DuanAssociate Professor of Electrical Engineering and Computer Science, University of WyomingDirección de correo verificada de uwyo.edu
Xiang ChengPeking UniversityDirección de correo verificada de pku.edu.cn
Liuqing YangHong Kong University of Science and Technology (Guangzhou)Dirección de correo verificada de ust.hk
Lei Cheng (程磊)Assistant Professor (ZJU Young Professor), Zhejiang UniversityDirección de correo verificada de eee.hku.hk
Juan MaroñasUniversidad Autónoma de MadridDirección de correo verificada de uam.es
Ying LiPh.D student, The University of Hong Kong (HKU)Dirección de correo verificada de connect.hku.hk
Richard Cornelius SuwandiThe Chinese University of Hong Kong, ShenzhenDirección de correo verificada de link.cuhk.edu.cn
Yijue DaiThe Chinese University of Hong Kong,ShenzhenDirección de correo verificada de link.cuhk.edu.cn
Alexandre ThieryAssociate Professor, National University of Singapore (NUS)Dirección de correo verificada de nus.edu.sg
Michael Minyi ZhangUniversity of Hong KongDirección de correo verificada de hku.hk

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Zhidi Lin

National University of Singapore

Dirección de correo verificada de nus.edu.sg - Página principal

Approximate Bayesian Inference Dynamical System Modeling Bayesian Signal Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
FedLoc: Federated learning framework for data-driven cooperative localization and location data processing F Yin, Z Lin, Q Kong, Y Xu, D Li, S Theodoridis, SR Cui IEEE Open Journal of Signal Processing 1, 187-215, 2020	201*	2020
Graph neural network for large-scale network localization W Yan, D Jin, Z Lin, F Yin IEEE ICASSP 2021, 2021	41	2021
One-class classifier based fault detection in distribution systems with varying penetration levels of distributed energy resources Z Lin, D Duan, Q Yang, X Hong, X Cheng, L Yang, S Cui IEEE Access 8, 130023-130035, 2020	15	2020
Data-driven fault localization in distribution systems with distributed energy resources Z Lin, D Duan, Q Yang, X Hong, X Cheng, L Yang, S Cui Energies 13 (1), 275, 2020	13	2020
An interpretable and sample efficient deep kernel for Gaussian process Y Dai, T Zhang, Z Lin, F Yin, S Theodoridis, S Cui UAI 2020, 2020	9	2020
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Z Lin, F Yin, J Maroñas arXiv preprint arXiv:2301.08843, 2023	7	2023
A flexible approach for human activity recognition based on broad learning system Z Lin, H Chen, Q Yang, X Hong ACM ICMLC 2019, 2019	7	2019
Gaussian process regression with grid spectral mixture kernel: Distributed learning for multidimensional data RC Suwandi, Z Lin, Y Sun, Z Wang, L Cheng, F Yin IEEE FUSION 2022, 2022	6	2022
Output-Dependent Gaussian Process State-Space Model Z Lin, L Cheng, F Yin, L Xu, S Cui IEEE ICASSP 2023, 2023	5	2023
One-class classifier based fault detection in distribution systems with distributed energy resources Z Lin, D Duan, Q Yang, X Cheng, L Yang, S Cui IEEE GlobalSIP, 932-936, 2018	4	2018
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models Z Lin, J Maroñas, Y Li, F Yin, S Theodoridis IEEE ICASSP 2024, 2024	3	2024
Regularization-Based Efficient Continual Learning in Deep State-Space Models Y Zhang, Z Lin, Y Sun, F Yin, C Fritsche IEEE FUSION 2024, 2024	2	2024
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference Z Lin, Y Sun, F Yin, A Thiéry IEEE Transactions on Signal Processing, 2024	1	2024
Achieving Privacy-Preserving Diagnosis with Federated Learning in LEO Satellite Constellation Q Kong, Z Lin, F Yin, L Xu, X Cheng, S Cui, X Ye ICSINC 2022, 990-998, 2023	1	2023
Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction X Zhang, C Zhao, Y Yang, Z Lin, J Wang, F Yin IEEE MLSP 2022, 2022	1	2022
Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset S Lin, F Yin, Z Lin, Y Lin, SR Cui, T Li, F Yu, W Yu, X Hong, J Shi, ZQT Luo IEEE ICCC 2018, 2018	1	2018
Preventing Model Collapse in Gaussian Process Latent Variable Models Y Li, Z Lin, F Yin, MM Zhang ICML 2024, 2024		2024
Online/Offline Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models Y Li, Z Lin, K Li, MM Zhang arXiv preprint arXiv:2404.06055, 2024		2024
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel RC Suwandi, Z Lin, F Yin, Z Wang, S Theodoridis arXiv preprint arXiv:2309.08201, 2023		2023

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