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07/27/2023
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures
Initial hours of hospital admission impact clinical trajectory, but earl...
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07/11/2023
Tableaux for the Logic of Strategically Knowing How
The logic of goal-directed knowing-how extends the standard epistemic lo...
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05/18/2023
A Bioinspired Synthetic Nervous System Controller for Pick-and-Place Manipulation
The Synthetic Nervous System (SNS) is a biologically inspired neural net...
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01/11/2023
A note on constructions of bent functions
Recently, Li et al. presented a generic construction of bent functions i...
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12/25/2022
A locking-free discontinuous Galerkin method for linear elastic Steklov eigenvalue problem
In this paper, a discontinuous Galerkin finite element method of Nitsche...
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11/25/2022
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Although substantial efforts have been made using graph neural networks ...
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08/08/2022
Minimal Binary Linear Codes from Vectorial Boolean Functions
Recently, much progress has been made to construct minimal linear codes ...
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06/22/2021
Knowing How to Plan
Various planning-based know-how logics have been studied in the recent l...
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01/27/2021
Constructing new APN functions through relative trace functions
In 2020, Budaghyan, Helleseth and Kaleyski [IEEE TIT 66(11): 7081-7087, ...
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01/14/2021
Joint Dimensionality Reduction for Separable Embedding Estimation
Low-dimensional embeddings for data from disparate sources play critical...
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07/13/2020
PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders
Although substantial efforts have been made to learn disentangled repres...
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04/27/2020
Application of Deep Interpolation Network for Clustering of Physiologic Time Series
Background: During the early stages of hospital admission, clinicians mu...
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03/29/2020
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems
Image prior modeling is the key issue in image recovery, computational i...
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12/01/2019
DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
The cornerstone of computational drug design is the calculation of bindi...
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11/08/2019
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
To fully understand interactions between marine hydrokinetic (MHK) equip...
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05/25/2019
Constructing vectorial bent functions via second-order derivatives
Let n be an even positive integer, and m<n be one of its positive diviso...
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05/25/2019
On constructions and properties of (n,m)-functions with maximal number of bent components
For any positive integers n=2k and m such that m≥ k, in this paper we sh...
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02/11/2019
Comfort-Centered Design of a Lightweight and Backdrivable Knee Exoskeleton
This paper presents design principles for comfort-centered wearable robo...
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12/03/2018
FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model
De novo protein structure prediction from amino acid sequence is one of ...
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08/03/2018
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling
Recent works on adaptive sparse and on low-rank signal modeling have dem...
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05/26/2018
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
Multichannel blind deconvolution is the problem of recovering an unknown...
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12/05/2017
Optimal Sample Complexity for Stable Matrix Recovery
Tremendous efforts have been made to study the theoretical and algorithm...
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11/30/2017
Blind Gain and Phase Calibration via Sparse Spectral Methods
Blind gain and phase calibration (BGPC) is a bilinear inverse problem in...
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05/15/2017
Strategically knowing how
In this paper, we propose a single-agent logic of goal-directed knowing ...
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06/24/2016
A Dynamic Epistemic Framework for Conformant Planning
In this paper, we introduce a lightweight dynamic epistemic logical fram...
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02/13/2016