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Xihaier Luo
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 15
Top Topics
Density Estimation
Deep Learning
Molecular Interactions
Convolutional Neural Networks
Top Venues
CoRR
BioNLP@ACL
BIBM
Comput. Aided Civ. Infrastructure Eng.
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Publications
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Alif Bin Abdul Qayyum
,
Xihaier Luo
,
Nathan M. Urban
,
Xiaoning Qian
,
Byung-Jun Yoon
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data.
CoRR
(2024)
Xihaier Luo
,
Wei Xu
,
Yihui Ren
,
Shinjae Yoo
,
Balu Nadiga
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
CoRR
(2024)
Xihaier Luo
,
Sean McCorkle
,
Gilchan Park
,
Vanessa López-Marrero
,
Shinjae Yoo
,
Edward R. Dougherty
,
Xiaoning Qian
,
Francis J. Alexander
,
Byung-Jun Yoon
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.
CoRR
(2023)
Vanessa López-Marrero
,
Patrick R. Johnstone
,
Gilchan Park
,
Xihaier Luo
Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences.
CoRR
(2023)
Xihaier Luo
,
Ahsan Kareem
,
Shinjae Yoo
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing.
CoRR
(2023)
Gilchan Park
,
Byung-Jun Yoon
,
Xihaier Luo
,
Vanessa López-Marrero
,
Patrick R. Johnstone
,
Shinjae Yoo
,
Francis J. Alexander
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge.
CoRR
(2023)
Gilchan Park
,
Byung-Jun Yoon
,
Xihaier Luo
,
Vanessa López-Marrero
,
Patrick R. Johnstone
,
Shinjae Yoo
,
Francis J. Alexander
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges.
BioNLP@ACL
(2023)
Xihaier Luo
,
Ahsan Kareem
,
Liting Yu
,
Shinjae Yoo
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing.
CoRR
(2022)
Xihaier Luo
,
Sean McCorkle
,
Gilchan Park
,
Vanessa López-Marrero
,
Shinjae Yoo
,
Edward R. Dougherty
,
Xiaoning Qian
,
Francis J. Alexander
,
Byung-Jun Yoon
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.
BIBM
(2022)
Xihaier Luo
,
Balasubramanya T. Nadiga
,
Yihui Ren
,
Ji Hwan Park
,
Wei Xu
,
Shinjae Yoo
A Bayesian Deep Learning Approach to Near-Term Climate Prediction.
CoRR
(2022)
Wei Xu
,
Xihaier Luo
,
Yihui Ren
,
Ji Hwan Park
,
Shinjae Yoo
,
Balasubramanya T. Nadiga
Feature Importance in a Deep Learning Climate Emulator.
CoRR
(2021)
Chao Yin
,
Xihaier Luo
,
Ahsan Kareem
Probabilistic Evolution of Stochastic Dynamical Systems: A Meso-scale Perspective.
CoRR
(2020)
Xihaier Luo
,
Ahsan Kareem
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data.
CoRR
(2019)
Xihaier Luo
,
Ahsan Kareem
Deep convolutional neural networks for uncertainty propagation in random fields.
Comput. Aided Civ. Infrastructure Eng.
34 (12) (2019)
Xihaier Luo
,
Ahsan Kareem
Deep convolutional neural networks for uncertainty propagation in random fields.
CoRR
(2019)