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07/07/2023
Mediation Analysis with Graph Mediator
This study introduces a mediation analysis framework when the mediator i...
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07/07/2023
Density-on-Density Regression
In this study, a density-on-density regression model is introduced, wher...
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06/15/2023
Simplified Temporal Consistency Reinforcement Learning
Reinforcement learning is able to solve complex sequential decision-maki...
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06/15/2023
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning
High-content cellular imaging, transcriptomics, and proteomics data prov...
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05/16/2023
Bayesian mixed model inference for genetic association under related samples with brain network phenotype
Genetic association studies for brain connectivity phenotypes have gaine...
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05/05/2023
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
Visual localization is critical to many applications in computer vision ...
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03/11/2023
Direct Bayesian Regression for Distribution-valued Covariates
In this manuscript, we study the problem of scalar-on-distribution regre...
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02/24/2023
Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
Emotion-cause pair extraction (ECPE) task aims to extract all the pairs ...
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12/19/2022
Covariance-on-Covariance Regression
A Covariance-on-Covariance regression model is introduced in this manusc...
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11/21/2022
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
Multimodal sentiment analysis (MSA) and emotion recognition in conversat...
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11/10/2022
Less Carbon Footprint in Edge Computing by Joint Task Offloading and Energy Sharing
In sprite the state-of-the-art, significantly reducing carbon footprint ...
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10/25/2022
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Offline reinforcement learning, by learning from a fixed dataset, makes ...
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10/08/2022
FedDef: Robust Federated Learning-based Network Intrusion Detection Systems Against Gradient Leakage
Deep learning methods have been widely applied to anomaly-based network ...
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10/04/2022
Continuous Monte Carlo Graph Search
In many complex sequential decision making tasks, online planning is cru...
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09/09/2022
Mediation Analysis with Multiple Exposures and Multiple Mediators
A mediation analysis approach is proposed for multiple exposures, multip...
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08/23/2022
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image
The convolutional-based methods provide good segmentation performance in...
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07/26/2022
Multi-cell Content Caching: Optimization for Cost and Information Freshness
In multi-access edge computing (MEC) systems, there are multiple local c...
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04/11/2022
Fusion of Self-supervised Learned Models for MOS Prediction
We participated in the mean opinion score (MOS) prediction challenge, 20...
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04/07/2022
MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation
Accurate segmentation of the blood vessels of the retina is an important...
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03/08/2022
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Massive open online courses (MOOCs), which provide a large-scale interac...
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02/09/2022
Longitudinal regression of covariance matrix outcomes
In this study, a longitudinal regression model for covariance matrix out...
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11/08/2021
Is Coronavirus-Related Research Becoming More Interdisciplinary? A Perspective of Co-occurrence Analysis and Diversity Measure of Scientific Articles
The outbreak of coronavirus disease 2019 (COVID-19) has had a significan...
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10/11/2021
MELONS: generating melody with long-term structure using transformers and structure graph
The creation of long melody sequences requires effective expression of c...
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05/09/2021
Statistical Assessment of Replicability via Bayesian Model Criticism
Assessment of replicability is critical to ensure the quality and rigor ...
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04/14/2021
Regularized regression on compositional trees with application to MRI analysis
A compositional tree refers to a tree structure on a set of random varia...
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04/01/2021
Identifying brain hierarchical structures associated with Alzheimer's disease using a regularized regression method with tree predictors
Brain segmentation at different levels is generally represented as hiera...
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03/29/2021
Multimodal Data Integration via Mediation Analysis with High-Dimensional Exposures and Mediators
Motivated by an imaging proteomics study for Alzheimer's disease (AD), i...
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11/10/2020
Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis
We explore pretraining strategies including choice of base corpus with t...
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10/27/2020
Robust Skeletonization for Plant Root Structure Reconstruction from MRI
Structural reconstruction of plant roots from MRI is challenging, becaus...
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10/21/2020
Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm
We present a new approach to disentangle speaker voice and phone content...
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09/08/2020
Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions
The Voice Conversion Challenge 2020 is the third edition under its flags...
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08/28/2020
Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion
The voice conversion challenge is a bi-annual scientific event held to c...
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08/26/2020
Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network
Providing an accurate evaluation of palm tree plantation in a large regi...
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07/24/2020
Principal Regression for High Dimensional Covariance Matrices
This manuscript presents an approach to perform generalized linear regre...
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05/16/2020
Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction
Vector Quantized Variational AutoEncoders (VQ-VAE) are a powerful repres...
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03/10/2020
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy
Many recently developed object detectors focused on coarse-to-fine frame...
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03/01/2020
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
Deep learning object detection algorithm has been widely used in medical...
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02/21/2020
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution
Magnetic resonance imaging (MRI) enables plant scientists to non-invasiv...
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12/30/2019
B-Value and Empirical Equivalence Bound: A New Procedure of Hypothesis Testing
In this study, we propose a two-stage procedure for hypothesis testing, ...
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10/27/2019
Transferring neural speech waveform synthesizers to musical instrument sounds generation
Recent neural waveform synthesizers such as WaveNet, WaveGlow, and the n...
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08/28/2019
Multimodal Neuroimaging Data Integration and Pathway Analysis
With fast advancements in technologies, the collection of multiple types...
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07/26/2019
Detection of Malfunctioning Smart Electricity Meter
In this paper, a method for malfunctioning smart meter detection, based ...
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03/29/2019
Does the Lombard Effect Improve Emotional Communication in Noise? - Analysis of Emotional Speech Acted in Noise -
Speakers usually adjust their way of talking in noisy environments invol...
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01/28/2019
Triangle-degrees in graphs and tetrahedron coverings in 3-graphs
We investigate a covering problem in 3-uniform hypergraphs (3-graphs): g...
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11/01/2018
Deep Learning Based Gait Recognition Using Smartphones in the Wild
Comparing with other biometrics, gait has advantages of being unobtrusiv...
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07/31/2018
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder
Recent neural networks such as WaveNet and sampleRNN that learn directly...
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06/15/2018
Sparse Principal Component based High-Dimensional Mediation Analysis
Causal mediation analysis aims to quantify the intermediate effect of a ...
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05/17/2018
Functional Mediation Analysis with an Application to Functional Magnetic Resonance Imaging Data
Causal mediation analysis is widely utilized to separate the causal effe...
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09/15/2017
Granger Mediation Analysis of Multiple Time Series with an Application to fMRI
It becomes increasingly popular to perform mediation analysis for comple...
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03/24/2016
