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09/16/2023
Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors
The problem of recovering a signal x∈ℝ^n from a quadratic system {y_i=x^...
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03/21/2023
Context De-confounded Emotion Recognition
Context-Aware Emotion Recognition (CAER) is a crucial and challenging ta...
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07/29/2022
Robust Quantitative Susceptibility Mapping via Approximate Message Passing
Purpose: It has been challenging to recover QSM in the presence of phase...
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07/23/2022
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data
Medical events of interest, such as mortality, often happen at a low rat...
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07/06/2022
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography
Unknown-view tomography (UVT) reconstructs a 3D density map from its 2D ...
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05/20/2022
Approximate Message Passing with Parameter Estimation for Heavily Quantized Measurements
Designing efficient sparse recovery algorithms that could handle noisy q...
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03/31/2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
In many machine learning tasks, input features with varying degrees of p...
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08/04/2020
Fast Nonconvex T_2^* Mapping Using ADMM
Magnetic resonance (MR)-T_2^* mapping is widely used to study hemorrhage...
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07/29/2020
Probabilistic Massive MIMO Channel Estimation with Built-in Parameter Estimation
In order to reduce hardware complexity and power consumption, massive mu...
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07/15/2020
1-Bit Compressive Sensing via Approximate Message Passing with Built-in Parameter Estimation
1-bit compressive sensing aims to recover sparse signals from quantized ...
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02/21/2019
UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring
Developing knowledge-driven contemporaneous health index (CHI) that can ...
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02/14/2019
Solving Complex Quadratic Systems with Full-Rank Random Matrices
We tackle the problem of recovering a complex signal x∈C^n from quadrat...
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01/08/2019
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
Emerging wearable sensors have enabled the unprecedented ability to cont...
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06/15/2018
Safe Active Feature Selection for Sparse Learning
We present safe active incremental feature selection (SAIF) to scale up ...
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04/06/2018
Reconstructing Point Sets from Distance Distributions
We study the problem of reconstructing the locations u_i of a set of po...
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03/18/2018
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification
The positive-unlabeled (PU) classification is a common scenario in real-...
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11/29/2017
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion
We present our preliminary work to determine if patient's vocal acoustic...
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09/10/2017
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach
Emotion recognition from facial expressions is tremendously useful, espe...
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08/14/2016