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08/01/2023
Counterfactual Graph Transformer for Traffic Flow Prediction
Traffic flow prediction (TFP) is a fundamental problem of the Intelligen...
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07/20/2023
Spectral co-Clustering in Rank-deficient Multi-layer Stochastic co-Block Models
Modern network analysis often involves multi-layer network data in which...
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07/15/2023
Error Analysis of Virtual Element Method for the Poisson-Boltzmann Equation
The Poisson-Boltzmann equation is a nonlinear elliptic equation with Dir...
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05/17/2023
Dynamic Matrix Recovery
Matrix recovery from sparse observations is an extensively studied topic...
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01/04/2023
Iterative two-level algorithm for nonsymmetric or indefinite elliptic problems
In this paper, a new iterative two-level algorithm is presented for solv...
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10/14/2022
Towards Immersive Collaborative Sensemaking
When collaborating face-to-face, people commonly use the surfaces and sp...
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10/11/2022
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework
The Retinex model is one of the most representative and effective method...
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07/14/2022
Error Analysis of Virtual Element Methods for the Time-dependent Poisson-Nernst-Planck Equations
We discuss and analyze the virtual element method on general polygonal m...
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03/18/2022
Secondary complementary balancing compressive imaging with a free-space balanced amplified photodetector
Single-pixel imaging (SPI) has attracted widespread attention because it...
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03/09/2022
Single-pixel imaging based on weight sort of the Hadamard basis
Single-pixel imaging (SPI) is very popular in subsampling applications, ...
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02/22/2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms
Policy evaluation based on A/B testing has attracted considerable intere...
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12/17/2021
Online Generalized Additive Model
Additive models and generalized additive models are effective semiparame...
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11/04/2021
Online Estimation for Functional Data
Functional data analysis has attracted considerable interest and is faci...
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12/18/2020
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction
Hyperspectral compressive imaging takes advantage of compressive sensing...
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05/29/2020
High-order structure preserving graph neural network for few-shot learning
Few-shot learning can find the latent structure information between the ...
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01/02/2020
Local Averaging Type a Posteriori Error Estimates for the Nonlinear Steady-state Poisson-Nernst-Planck Equations
The a posteriori error estimates are studied for a class of nonlinear st...
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08/02/2019
OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies
Ontologies are formal representations of concepts and complex relationsh...
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03/14/2018