research
∙
07/13/2023
AutoHint: Automatic Prompt Optimization with Hint Generation
This paper presents AutoHint, a novel framework for automatic prompt eng...
share
research
∙
06/14/2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
Recent deep neural networks (DNNs) have come to rely on vast amounts of ...
research
∙
06/14/2023
A Proxy-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
Poisoning efficiency is a crucial factor in poisoning-based backdoor att...
research
∙
03/07/2023
Energy stability and convergence of variable-step L1 scheme for the time fractional Swift-Hohenberg model
A fully implicit numerical scheme is established for solving the time fr...
research
∙
03/06/2023
Energy stable and L^2 norm convergent BDF3 scheme for the Swift-Hohenberg equation
A fully discrete implicit scheme is proposed for the Swift-Hohenberg mod...
research
∙
02/28/2023
Error estimate of the nonuniform L1 type formula for the time fractional diffusion-wave equation
In this paper, a temporal nonuniform L1 type difference scheme is built ...
research
∙
02/05/2023
Error analysis of the implicit variable-step BDF2 method for the molecular beam epitaxial model with slope selection
We derive unconditionally stable and convergent variable-step BDF2 schem...
research
∙
02/25/2021
Perspectives and solutions towards intelligent ambient assisted living systems
The population of the elderly people has kept increasing rapidly over th...
research
∙
01/21/2021
A scalable approach for developing clinical risk prediction applications in different hospitals
Objective: Machine learning algorithms are now widely used in predicting...
research
∙
10/20/2020
Predicting future state for adaptive clinical pathway management
Clinical decision support systems are assisting physicians in providing ...
research
∙
10/14/2020
AutoADR: Automatic Model Design for Ad Relevance
Large-scale pre-trained models have attracted extensive attention in the...
research
∙
08/27/2020
Mixed Noise Removal with Pareto Prior
Denoising images contaminated by the mixture of additive white Gaussian ...
research
∙
11/22/2016
Sar image despeckling based on nonlocal similarity sparse decomposition
This letter presents a method of synthetic aperture radar (SAR) image de...
research
∙
10/27/2016
Sparse Signal Subspace Decomposition Based on Adaptive Over-complete Dictionary
This paper proposes a subspace decomposition method based on an over-com...
research
∙
01/12/2014
