
Constructing new APN functions through relative trace functions
In 2020, Budaghyan, Helleseth and Kaleyski [IEEE TIT 66(11): 70817087, ...
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Joint Dimensionality Reduction for Separable Embedding Estimation
Lowdimensional embeddings for data from disparate sources play critical...
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PRIVAE: PrincipleofRelevantInformation Variational Autoencoders
Although substantial efforts have been made to learn disentangled repres...
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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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A SetTheoretic 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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DeepAtom: A Framework for ProteinLigand Binding Affinity Prediction
The cornerstone of computational drug design is the calculation of bindi...
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Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
To fully understand interactions between marine hydrokinetic (MHK) equip...
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Constructing vectorial bent functions via secondorder derivatives
Let n be an even positive integer, and m<n be one of its positive diviso...
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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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ComfortCentered Design of a Lightweight and Backdrivable Knee Exoskeleton
This paper presents design principles for comfortcentered wearable robo...
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FoldingZero: Protein Folding from Scratch in HydrophobicPolar Model
De novo protein structure prediction from amino acid sequence is one of ...
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The Power of Complementary Regularizers: Image Recovery via Transform Learning and LowRank Modeling
Recent works on adaptive sparse and on lowrank signal modeling have dem...
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Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
Multichannel blind deconvolution is the problem of recovering an unknown...
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Optimal Sample Complexity for Stable Matrix Recovery
Tremendous efforts have been made to study the theoretical and algorithm...
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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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Strategically knowing how
In this paper, we propose a singleagent logic of goaldirected knowing ...
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A Dynamic Epistemic Framework for Conformant Planning
In this paper, we introduce a lightweight dynamic epistemic logical fram...
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Joint Dimensionality Reduction for Two Feature Vectors
Many machine learning problems, especially multimodal learning problems...
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Yanjun Li
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