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05/16/2023
Stochastic Porous Microstructures
Stochastic porous structures are ubiquitous in natural phenomena and hav...
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04/20/2023
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary
Open intent classification, which aims to correctly classify the known i...
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07/02/2022
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk
Language is the principal tool for human communication, in which humor i...
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10/17/2021
A Bayesian Selection Model for Correcting Outcome Reporting Bias With Application to a Meta-analysis on Heart Failure Interventions
Multivariate meta-analysis (MMA) is a powerful tool for jointly estimati...
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10/13/2020
BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance
Pre-trained language models (e.g., BERT) have achieved significant succe...
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09/24/2020
Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks
Petrographic analysis based on microfacies identification in thin sectio...
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05/31/2020
Multivariate Log-Contrast Regression with Sub-Compositional Predictors: Testing the Association Between Preterm Infants' Gut Microbiome and Neurobehavioral Outcomes
The so-called gut-brain axis has stimulated extensive research on microb...
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03/10/2020
Multivariate Functional Regression via Nested Reduced-Rank Regularization
We propose a nested reduced-rank regression (NRRR) approach in fitting r...
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08/16/2019
An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Multi-Task Learning (MTL) aims at boosting the overall performance of ea...
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07/26/2018
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models
Multi-view data have been routinely collected in various fields of scien...
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01/24/2018