Dianpeng Wang
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View article: Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations
Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations Open
This research is motivated by the need for effective classification in ice-breaking dynamic simulations, aimed at determining the conditions under which an underwater vehicle will break through the ice. This simulation is extremely time-co…
View article: Nonlinear Stochastic Modeling with Heterogeneous Covariates for Degradation Analysis Applied to Wax Lubrication Layer
Nonlinear Stochastic Modeling with Heterogeneous Covariates for Degradation Analysis Applied to Wax Lubrication Layer Open
Wax is a commonly used lubricant in many applications. To ensure its security and dependability, degradation analyses for creep are typically conducted. However, challenges arise due to the poorly understood inherent mechanisms of wax and …
View article: Grouped Change-Points Detection and Estimation in Panel Data
Grouped Change-Points Detection and Estimation in Panel Data Open
The change-points in panel data can be obstacles for fitting models; thus, detecting change-points accurately before modeling is crucial. Extant methods often either assume that all panels share the common change-points or that grouped pan…
View article: Unsupervised Conditional Diffusion Models in Video Anomaly Detection for Monitoring Dust Pollution
Unsupervised Conditional Diffusion Models in Video Anomaly Detection for Monitoring Dust Pollution Open
Video surveillance is widely used in monitoring environmental pollution, particularly harmful dust. Currently, manual video monitoring remains the predominant method for analyzing potential pollution, which is inefficient and prone to erro…
View article: Machine Learning-Based Virtual Screening and Identification of the Fourth-Generation EGFR Inhibitors
Machine Learning-Based Virtual Screening and Identification of the Fourth-Generation EGFR Inhibitors Open
Epidermal growth factor receptor (EGFR) plays a pivotal regulatory role in treating patients with advanced nonsmall cell lung cancer (NSCLC). Following the emergence of the EGFR tertiary CIS C797S mutation, all types of inhibitors lose the…
View article: A distance metric-based space-filling subsampling method for nonparametric models
A distance metric-based space-filling subsampling method for nonparametric models Open
Taking subset samples from the original data set is an efficient and popular strategy to handle massive data that is too large to be directly modeled. To optimize inference and prediction accuracy, it is crucial to employ a subsampling sch…
View article: MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion Open
Reconstructing visual stimuli from brain recordings has been a meaningful and challenging task. Especially, the achievement of precise and controllable image reconstruction bears great significance in propelling the progress and utilizatio…
View article: Efficacy of COVID-19 vaccines in inflammatory bowel disease patients receiving anti-TNF therapy: A systematic review and meta-analysis
Efficacy of COVID-19 vaccines in inflammatory bowel disease patients receiving anti-TNF therapy: A systematic review and meta-analysis Open
COVID-19 vaccines have shown good efficacy in IBD patients receiving anti-TNF therapy. However, IBD patients receiving anti-TNF have a relatively high rate of breakthrough infections and a low level of neutralization response.
View article: MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion Open
Reconstructing visual stimuli from brain recordings has been a meaningful and challenging task. Especially, the achievement of precise and controllable image reconstruction bears great significance in propelling the progress and utilizatio…
View article: Sequential Latin Hypercube Design for Two-layer Computer Simulators
Sequential Latin Hypercube Design for Two-layer Computer Simulators Open
The two-layer computer simulators are commonly used to mimic multi-physics phenomena or systems. Usually, the outputs of the first-layer simulator (also called the inner simulator) are partial inputs of the second-layer simulator (also cal…
View article: MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion Open
Reconstructing visual stimuli from measured functional magnetic resonance imaging (fMRI) has been a meaningful and challenging task. Previous studies have successfully achieved reconstructions with structures similar to the original images…
View article: A method for extracting interference striations in lofargram based on decomposition and clustering
A method for extracting interference striations in lofargram based on decomposition and clustering Open
In complex underwater noise environment, target detection, recognition, and tracking are proceeded through the frequency spectrum analysis of the signals received by sonar systems, in which the lofargram plays a major role. Typically, if t…
View article: Bayesian sequential design for sensitivity experiments with hybrid responses
Bayesian sequential design for sensitivity experiments with hybrid responses Open
In experimental design, a common problem seen in practice is when the result includes one binary response and multiple continuous responses. However, this problem receives scant attention. Most studies pertaining to this problem usually co…
View article: A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan Open
In December 2019, Wuhan, the capital of Hubei Province, was struck by an outbreak of COVID‐19. Numerous studies have been conducted to fit COVID‐19 data and make statistical inferences. In applications, functions of the parameters in the m…
View article: A Weighted Surrogate Model for Spatio-Temporal Dynamics with Multiple Time Spans: Applications for the Pollutant Concentration of the Bai River
A Weighted Surrogate Model for Spatio-Temporal Dynamics with Multiple Time Spans: Applications for the Pollutant Concentration of the Bai River Open
Simulations are often used to investigate the flow structures and system dynamics of complex natural phenomena and systems, which are significantly harder to obtain from experiments or theoretical analyses. Surrogate models are employed to…
View article: A D-Optimal Sequential Calibration Design for Computer Models
A D-Optimal Sequential Calibration Design for Computer Models Open
The problem with computer model calibration by tuning the parameters associated with computer models is significant in many engineering and scientific applications. Although several methods have been established to estimate the calibration…
View article: A subsampling method for regression problems based on minimum energy criterion
A subsampling method for regression problems based on minimum energy criterion Open
The extraordinary amounts of data generated nowadays pose heavy demands on computational resources and time, which hinders the implementation of various statistical methods. An efficient and popular strategy of downsizing data volumes and …
View article: Comprehensive comparisons of major sequential design procedures for sensitivity testing
Comprehensive comparisons of major sequential design procedures for sensitivity testing Open
The main goal of a good sensitivity testing procedure is to quickly determine at which stimulus level a specified fraction of test items fail. Based on a previous study, two procedures, D-optimal and 3pod, appear to be most promising. In t…
View article: Comprehensive comparisons of major sequential design procedures for sensitivity testing
Comprehensive comparisons of major sequential design procedures for sensitivity testing Open
The main goal of a good sensitivity testing procedure is to quickly determine at which stimulus level a specified fraction of test items fail. Based on a previous study, two procedures, D-optimal and 3pod, appear to be most promising. In t…
View article: Comprehensive comparisons of major sequential design procedures for sensitivity testing
Comprehensive comparisons of major sequential design procedures for sensitivity testing Open
The main goal of a good sensitivity testing procedure is to quickly determine at which stimulus level a specified fraction of test items fail. Based on a previous study, two procedures, D-optimal and 3pod, appear to be most promising. In t…
View article: Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs
Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs Open
Markov chain Monte Carlo (MCMC) methods require a large number of samples to approximate a posterior distribution, which can be costly when the likelihood or prior is expensive to evaluate. The number of samples can be reduced if we can av…