Zhidi Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Distributed Learning

Gaussian Process

Top Venues

Publications

Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. ICASSP (2024)
Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche
Regularization-Based Efficient Continual Learning in Deep State-Space Models. CoRR (2024)
Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
Preventing Model Collapse in Gaussian Process Latent Variable Models. CoRR (2024)
Richard Cornelius Suwandi, Zhidi Lin, Feng Yin
Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data. CoRR (2023)
Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. CoRR (2023)
Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
Output-Dependent Gaussian Process State-Space Model. ICASSP (2023)
Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiery
Ensemble Kalman Filtering-Aided Variational Inference for Gaussian Process State-Space Models. CoRR (2023)
Zhidi Lin, Feng Yin
Towards Flexibility and Interpretability of Gaussian Process State-Space Model. CoRR (2023)
Richard Cornelius Suwandi, Zhidi Lin, Yiyong Sun, Zhiguo Wang, Lei Cheng, Feng Yin
Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data. FUSION (2022)
Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
Output-Dependent Gaussian Process State-Space Model. CoRR (2022)
Xinyi Zhang, Chenxu Zhao, Yun Yang, Zhidi Lin, Juntao Wang, Feng Yin
Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction. MLSP (2022)
Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
Graph Neural Network for Large-Scale Network Localization. ICASSP (2021)
Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
Graph Neural Network for Large-Scale Network Localization. CoRR (2020)
Zhidi Lin, Dongliang Duan, Qi Yang, Xuemin Hong, Xiang Cheng, Liuqing Yang, Shuguang Cui
One-Class Classifier Based Fault Detection in Distribution Systems With Varying Penetration Levels of Distributed Energy Resources. IEEE Access 8 (2020)
Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang Cui
FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing. CoRR (2020)
Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process. UAI (2020)
Zhidi Lin, Haipeng Chen, Qi Yang, Xuemin Hong
A Flexible Approach for Human Activity Recognition Based on Broad Learning System. ICMLC (2019)
Zhidi Lin, Dongliang Duan, Qi Yang, Xiang Cheng, Liuqing Yang, Shuguang Cui
One-Class Classifier Based Fault Detection in Distribution Systems with Distributed Energy Resources. GlobalSIP (2018)
Shuqing Lin, Feng Yin, Zhidi Lin, Yanbin Lin, Shuguang Robert Cui, Teng Li, Fengli Yu, Wei Yu, Xuemin Hong, Jianghong Shi, Zhi-Quan Tom Luo
Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset. ICCC (2018)