Alert button
Picture for Feng Yin

Feng Yin

Alert button

Preventing Model Collapse in Gaussian Process Latent Variable Models

Add code
Bookmark button
Alert button
Apr 02, 2024
Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang

Figure 1 for Preventing Model Collapse in Gaussian Process Latent Variable Models
Figure 2 for Preventing Model Collapse in Gaussian Process Latent Variable Models
Figure 3 for Preventing Model Collapse in Gaussian Process Latent Variable Models
Figure 4 for Preventing Model Collapse in Gaussian Process Latent Variable Models
Viaarxiv icon

Regularization-Based Efficient Continual Learning in Deep State-Space Models

Add code
Bookmark button
Alert button
Mar 15, 2024
Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche

Figure 1 for Regularization-Based Efficient Continual Learning in Deep State-Space Models
Figure 2 for Regularization-Based Efficient Continual Learning in Deep State-Space Models
Figure 3 for Regularization-Based Efficient Continual Learning in Deep State-Space Models
Figure 4 for Regularization-Based Efficient Continual Learning in Deep State-Space Models
Viaarxiv icon

Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem

Add code
Bookmark button
Alert button
Mar 08, 2024
Ceyao Zhang, Renjie Li, Cheng Zhang, Zhaoyu Zhang, Feng Yin

Figure 1 for Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem
Figure 2 for Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem
Figure 3 for Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem
Figure 4 for Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem
Viaarxiv icon

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Add code
Bookmark button
Alert button
Jan 07, 2024
Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He

Viaarxiv icon

Ensemble Kalman Filtering-Aided Variational Inference for Gaussian Process State-Space Models

Add code
Bookmark button
Alert button
Dec 23, 2023
Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiéry

Viaarxiv icon

Joint DOA estimation and distorted sensor detection under entangled low-rank and row-sparse constraints

Add code
Bookmark button
Alert button
Dec 21, 2023
Huiping Huang, Tianjian Zhang, Feng Yin, Bin Liao, Henk Wymeersch

Viaarxiv icon

Attentional Graph Neural Networks for Robust Massive Network Localization

Add code
Bookmark button
Alert button
Nov 28, 2023
Wenzhong Yan, Juntao Wang, Feng Yin, Abdelhak M. Zoubir

Figure 1 for Attentional Graph Neural Networks for Robust Massive Network Localization
Figure 2 for Attentional Graph Neural Networks for Robust Massive Network Localization
Figure 3 for Attentional Graph Neural Networks for Robust Massive Network Localization
Figure 4 for Attentional Graph Neural Networks for Robust Massive Network Localization
Viaarxiv icon

Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data

Add code
Bookmark button
Alert button
Sep 15, 2023
Richard Cornelius Suwandi, Zhidi Lin, Feng Yin

Figure 1 for Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data
Figure 2 for Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data
Figure 3 for Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data
Figure 4 for Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data
Viaarxiv icon

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models

Add code
Bookmark button
Alert button
Sep 03, 2023
Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis

Figure 1 for Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Figure 2 for Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Figure 3 for Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Viaarxiv icon

Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization

Add code
Bookmark button
Alert button
Sep 03, 2023
Dongze Wu, Jun Gao, Feng Yin

Figure 1 for Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization
Figure 2 for Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization
Figure 3 for Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization
Figure 4 for Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization
Viaarxiv icon