Picture for Qiang Cheng

Qiang Cheng

TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification

Add code
Jun 06, 2024
Viaarxiv icon

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Add code
Mar 14, 2024
Figure 1 for TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Figure 2 for TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Figure 3 for TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Figure 4 for TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Viaarxiv icon

MambaTab: A Simple Yet Effective Approach for Handling Tabular Data

Add code
Jan 16, 2024
Viaarxiv icon

Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance

Add code
May 06, 2023
Figure 1 for Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Figure 2 for Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Figure 3 for Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Figure 4 for Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Viaarxiv icon

RIS-Assisted Joint Uplink Communication and Imaging: Phase Optimization and Bayesian Echo Decoupling

Add code
Jan 10, 2023
Figure 1 for RIS-Assisted Joint Uplink Communication and Imaging: Phase Optimization and Bayesian Echo Decoupling
Figure 2 for RIS-Assisted Joint Uplink Communication and Imaging: Phase Optimization and Bayesian Echo Decoupling
Figure 3 for RIS-Assisted Joint Uplink Communication and Imaging: Phase Optimization and Bayesian Echo Decoupling
Figure 4 for RIS-Assisted Joint Uplink Communication and Imaging: Phase Optimization and Bayesian Echo Decoupling
Viaarxiv icon

Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation

Add code
Nov 01, 2022
Figure 1 for Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation
Figure 2 for Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation
Figure 3 for Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation
Figure 4 for Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation
Viaarxiv icon

Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction

Add code
Sep 30, 2022
Figure 1 for Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction
Figure 2 for Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction
Figure 3 for Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction
Figure 4 for Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction
Viaarxiv icon

PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions

Add code
Aug 25, 2022
Figure 1 for PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions
Figure 2 for PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions
Figure 3 for PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions
Figure 4 for PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions
Viaarxiv icon

Log-based Sparse Nonnegative Matrix Factorization for Data Representation

Add code
Apr 22, 2022
Figure 1 for Log-based Sparse Nonnegative Matrix Factorization for Data Representation
Figure 2 for Log-based Sparse Nonnegative Matrix Factorization for Data Representation
Figure 3 for Log-based Sparse Nonnegative Matrix Factorization for Data Representation
Figure 4 for Log-based Sparse Nonnegative Matrix Factorization for Data Representation
Viaarxiv icon

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization

Add code
Jan 08, 2022
Figure 1 for Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization
Figure 2 for Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization
Figure 3 for Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization
Figure 4 for Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization
Viaarxiv icon