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09/10/2023
Compressing the memory variables in constant-Q viscoelastic wave propagation via an improved sum-of-exponentials approximation
Earth introduces strong attenuation and dispersion to propagating waves....
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06/18/2023
A novel explicit design method for complex thin-walled structures based on embedded solid moving morphable components
In this article, a novel explicit approach for designing complex thin-wa...
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06/15/2023
Training Multimedia Event Extraction With Generated Images and Captions
Contemporary news reporting increasingly features multimedia content, mo...
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04/15/2023
Tests for ultrahigh-dimensional partially linear regression models
In this paper, we consider tests for ultrahigh-dimensional partially lin...
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04/04/2023
Semiparametric efficient estimation of genetic relatedness with double machine learning
In this paper, we propose double machine learning procedures to estimate...
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01/12/2023
Distributed local spline simulator for wave propagation
Numerical simulation of wave propagation in elastic media faces the chal...
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12/25/2022
Test and Measure for Partial Mean Dependence Based on Deep Neural Networks
It is of great importance to investigate the significance of a subset of...
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12/16/2022
Score function-based tests for ultrahigh-dimensional linear models
To sufficiently exploit the model structure under the null hypothesis su...
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11/06/2022
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Recent advances in NLP are brought by a range of large-scale pretrained ...
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10/22/2022
Model-free variable selection in sufficient dimension reduction via FDR control
Simultaneously identifying contributory variables and controlling the fa...
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10/06/2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Prompt tuning, or the conditioning of a frozen pretrained language model...
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08/27/2022
A Generic Algorithm for Top-K On-Shelf Utility Mining
On-shelf utility mining (OSUM) is an emerging research direction in data...
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01/29/2022
Weighted residual empirical processes, martingale transformations and model checking for regressions
In this paper we propose a new methodology for testing the parametric fo...
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10/30/2021
FUIM: Fuzzy Utility Itemset Mining
Because of usefulness and comprehensibility, fuzzy data mining has been ...
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10/13/2021
Stiffness optimisation of graded microstructal configurations using asymptotic analysis and machine learning
The article is aimed to address a combinative use of asymptotic analysis...
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08/27/2021
Statistical Inference for Linear Mediation Models with High-dimensional Mediators and Application to Studying Stock Reaction to COVID-19 Pandemic
Mediation analysis draws increasing attention in many scientific areas s...
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07/11/2021
A short-memory operator splitting scheme for constant-Q viscoelastic wave equation
We propose a short-memory operator splitting scheme for solving the cons...
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06/25/2021
A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)
In this paper, a mechanistic data-driven approach is proposed to acceler...
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06/24/2021
Optimisation of spatially varying orthotropic porous structures based on conformal mapping
In this article, a compliance minimisation scheme for designing spatiall...
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04/19/2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
The existence of multiple datasets for sarcasm detection prompts us to a...
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12/03/2020
Federated Learning with Diversified Preference for Humor Recognition
Understanding humor is critical to creative language modeling with many ...
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10/17/2020
DIFER: Differentiable Automated Feature Engineering
Feature engineering, a crucial step of machine learning, aims to extract...
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09/23/2020
A projection-based model checking for heterogeneous treatment effect
In this paper, we investigate the hypothesis testing problem that checks...
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09/22/2020
The Role of Propensity Score Structure in Asymptotic Efficiency of Estimated Conditional Quantile Treatment Effect
When a strict subset of covariates are given, we propose conditional qua...
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02/28/2020
A New Procedure for Controlling False Discovery Rate in Large-Scale t-tests
This paper is concerned with false discovery rate (FDR) control in large...
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02/27/2020
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
We develop a new class of distribution–free multiple testing rules for f...
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02/04/2020
Generation of smoothly-varying infill configurations from a continuous menu of cell patterns and the asymptotic analysis of its mechanical behaviour
We here introduce a novel scheme for generating smoothly-varying infill ...
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11/18/2019
Optimal design of shell-graded-infill structures by a hybrid MMC-MMV approach
In the present work, a hybrid MMC-MMV approach is developed for designin...
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09/25/2019
On speeding up an asymptotic-analysis-based homogenisation scheme for designing gradient porous structured materials using a zoning strategy
Gradient porous structured materials possess significant potential of be...
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08/08/2018
Testing heteroscedasticity for regression models based on projections
In this paper we propose a new test of heteroscedasticity for parametric...
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05/05/2018