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05/06/2023
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Motivated by the maneuvering target tracking with sensors such as radar ...
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09/30/2022
Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction
Interpreting critical variables involved in complex biological processes...
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08/25/2022
PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions
The disruption of circadian rhythm is a cardinal symptom for Alzheimer's...
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08/25/2022
Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets
Alzheimer's disease (AD), as a progressive brain disease, affects cognit...
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04/22/2022
Log-based Sparse Nonnegative Matrix Factorization for Data Representation
Nonnegative matrix factorization (NMF) has been widely studied in recent...
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06/04/2021
Top-k Regularization for Supervised Feature Selection
Feature selection identifies subsets of informative features and reduces...
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03/21/2021
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction
Graph neural networks have been used for a variety of learning tasks, su...
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12/05/2020
Adaptive Weighted Discriminator for Training Generative Adversarial Networks
Generative adversarial network (GAN) has become one of the most importan...
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11/03/2020
Kernel Two-Dimensional Ridge Regression for Subspace Clustering
Subspace clustering methods have been widely studied recently. When the ...
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10/19/2020
Fractal Autoencoders for Feature Selection
Feature selection reduces the dimensionality of data by identifying a su...
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10/19/2020
A Uniformly Stable Algorithm For Unsupervised Feature Selection
High-dimensional data presents challenges for data management. Feature s...
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08/31/2020
Structured Graph Learning for Clustering and Semi-supervised Classification
Graphs have become increasingly popular in modeling structures and inter...
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05/19/2020
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering
In this paper, we propose a new Semi-Nonnegative Matrix Factorization me...
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12/20/2019
MIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation
Reconfigurable intelligent surface (RIS) is a new paradigm that has grea...
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11/13/2019
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cel...
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07/09/2019
Nonnegative Matrix Factorization with Local Similarity Learning
Existing nonnegative matrix factorization methods focus on learning glob...
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06/05/2019
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach
In current clinical practice, electroencephalograms (EEG) are reviewed a...
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04/16/2019
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices
Robust principal component analysis (RPCA) has drawn significant attenti...
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04/16/2019
Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data
We introduce a discriminative regression approach to supervised classifi...
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03/22/2019
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures
In current clinical practices, electroencephalograms (EEG) are reviewed ...
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01/28/2019
Lie Group Auto-Encoder
In this paper, we propose an auto-encoder based generative neural networ...
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11/20/2018
Wireless Communications with Programmable Metasurface: Transceiver Design and Experimental Results
Metasurfaces have drawn significant attentions due to their superior cap...
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09/07/2018
Adaptive Edge Features Guided Graph Attention Networks
Edge features contain important information about graphs. However, curre...
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06/12/2018
Controlling spectral energies of all harmonics in programmable way using time-domain digital coding metasurface
Modern wireless communication is one of the most important information t...
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11/12/2017
Unified Spectral Clustering with Optimal Graph
Spectral clustering has found extensive use in many areas. Most traditio...
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05/01/2017
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Many similarity-based clustering methods work in two separate steps incl...
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09/27/2016
Top-N Recommendation on Graphs
Recommender systems play an increasingly important role in online applic...
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02/25/2016
Top-N Recommendation with Novel Rank Approximation
The importance of accurate recommender systems has been widely recognize...
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01/19/2016
Top-N Recommender System via Matrix Completion
Top-N recommender systems have been investigated widely both in industry...
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11/17/2015
Robust PCA via Nonconvex Rank Approximation
Numerous applications in data mining and machine learning require recove...
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10/30/2015
Robust Subspace Clustering via Tighter Rank Approximation
Matrix rank minimization problem is in general NP-hard. The nuclear norm...
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08/18/2015