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09/18/2023
Bias of AI-Generated Content: An Examination of News Produced by Large Language Models
Large language models (LLMs) have the potential to transform our lives a...
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07/31/2023
Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model
Disaster response is critical to save lives and reduce damages in the af...
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05/27/2023
High-dimensional Central Limit Theorems by Stein's Method in the Degenerate Case
In the literature of high-dimensional central limit theorems, there is a...
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05/01/2023
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Medical image segmentation is a fundamental task in the community of med...
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03/23/2023
A Permutable Hybrid Network for Volumetric Medical Image Segmentation
The advent of Vision Transformer (ViT) has brought substantial advanceme...
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11/08/2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Health sensing for chronic disease management creates immense benefits f...
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09/11/2022
Exploiting Expert Knowledge for Assigning Firms to Industries: A Novel Deep Learning Method
Industry assignment, which assigns firms to industries according to a pr...
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05/21/2022
Diversity Preference-Aware Link Recommendation for Online Social Networks
Link recommendation, which recommends links to connect unlinked online s...
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02/11/2022
Posterior Consistency for Bayesian Relevance Vector Machines
Statistical modeling and inference problems with sample sizes substantia...
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02/11/2022
High-dimensional properties for empirical priors in linear regression with unknown error variance
We study full Bayesian procedures for high-dimensional linear regression...
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09/01/2020
Large-dimensional Central Limit Theorem with Fourth-moment Error Bounds on Convex Sets and Balls
We prove the large-dimensional Gaussian approximation of a sum of n inde...
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04/17/2020
Detection and Estimation of Local Signals
We study the maximum score statistic to detect and estimate local signal...
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01/29/2020
High-dimensional Central Limit Theorems by Stein's Method
We obtain explicit error bounds for the standard d-dimensional normal ap...
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01/24/2020
Arcsine laws for random walks generated from random permutations with applications to genomics
A classical result for the simple symmetric random walk with 2n steps is...
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09/12/2017
A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling
Randomized experiments have been critical tools of decision making for d...
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05/23/2017
