Xihaier Luo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Gene Expression Profiles

Convolutional Neural Networks

Density Estimation

Top Venues

Publications

Xihaier Luo, Seyednami Niyakan, Patrick R. Johnstone, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon
Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers Bioinform. 4 (2024)
Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction. CoRR (2024)
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, Xiaoning Qian, Byung-Jun Yoon
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. CoRR (2024)
Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. ICLR (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)