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05/25/2023
Action Sensitivity Learning for Temporal Action Localization
Temporal action localization (TAL), which involves recognizing and locat...
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04/11/2023
Life Regression based Patch Slimming for Vision Transformers
Vision transformers have achieved remarkable success in computer vision ...
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12/01/2022
Long time H^1-stability of fast L2-1_σ method on general nonuniform meshes for subdiffusion equations
In this work, the global-in-time H^1-stability of a fast L2-1_σ method o...
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06/15/2022
Priori Error Estimate of Deep Mixed Residual Method for Elliptic PDEs
In this work, we derive a priori error estimate of the mixed residual me...
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03/11/2022
Unconditionally energy decreasing high-order Implicit-Explicit Runge-Kutta methods for phase-field models with the Lipschitz nonlinearity
Phase field models attract much attention these years. The energy natura...
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03/09/2022
Energy plus maximum bound preserving Runge-Kutta methods for the Allen-Cahn equation
It is difficult to design high order numerical schemes which could prese...
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02/24/2022
A decreasing upper bound of energy for time-fractional phase-field equations
In this article, we study the energy dissipation property of time-fracti...
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09/11/2021
Robust Convergence of Parareal Algorithms with Arbitrarily High-order Fine Propagators
The aim of this paper is to analyze the robust convergence of a class of...
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07/20/2021
A provably efficient monotonic-decreasing algorithm for shape optimization in Stokes flows by phase-field approaches
In this work, we study shape optimization problems in the Stokes flows. ...
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07/06/2021
Generalization Error Analysis of Neural networks with Gradient Based Regularization
We study gradient-based regularization methods for neural networks. We m...
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06/18/2021
Multi-Granularity Network with Modal Attention for Dense Affective Understanding
Video affective understanding, which aims to predict the evoked expressi...
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03/16/2021
A Local Deep Learning Method for Solving High Order Partial Differential Equations
At present, deep learning based methods are being employed to resolve th...
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02/26/2021
Arbitrarily High-order Maximum Bound Preserving Schemes with Cut-off Postprocessing for Allen-Cahn Equations
We develop and analyze a class of maximum bound preserving schemes for a...
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10/23/2020
Maximum bound principle preserving integrating factor Runge-Kutta methods for semilinear parabolic equations
A large class of semilinear parabolic equations satisfy the maximum boun...
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10/17/2020
Arbitrarily high-order exponential cut-off methods for preserving maximum principle of parabolic equations
A new class of high-order maximum principle preserving numerical methods...
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09/14/2020
Numerical Energy Dissipation for Time-Fractional Phase-Field Equations
The energy dissipation is an important and essential property of classic...
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07/15/2020
Augmented Bi-path Network for Few-shot Learning
Few-shot Learning (FSL) which aims to learn from few labeled training da...
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03/21/2020
A level set representation method for N-dimensional convex shape and applications
In this work, we present a new efficient method for convex shape represe...
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08/09/2019
Convex hull algorithms based on some variational models
Seeking the convex hull of an object is a very fundamental problem arisi...
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06/15/2019
