Xihaier Luo

According to our database, Xihaier Luo authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pathway-based analyses of gene expression profiles at low doses of ionizing radiation.

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

Frontiers Bioinform., 2024

Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction.

Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo

CoRR, 2024

Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data.

Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon

CoRR, 2024

GAN-based Extreme Conditional Distribution Estimation for Renewable Energy Systems.

Guang Zhao, Xihaier Luo, Shinjae Yoo, Nicole D. Jackson

Proceedings of the IEEE International Conference on Communications, 2024

Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data.

Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution.

Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.

Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences.

Vanessa López-Marrero, Patrick R. Johnstone, Gilchan Park, Xihaier Luo

CoRR, 2023

Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge.

Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander

CoRR, 2023

Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing.

Xihaier Luo, Ahsan Kareem, Shinjae Yoo

CoRR, 2023

Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges.

Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

A Bayesian Deep Learning Approach to Near-Term Climate Prediction.

Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo

CoRR, 2022

A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing.

Xihaier Luo, Ahsan Kareem, Liting Yu, Shinjae Yoo

CoRR, 2022

Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.

Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Feature Importance in a Deep Learning Climate Emulator.

Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga

CoRR, 2021

2020

Probabilistic Evolution of Stochastic Dynamical Systems: A Meso-scale Perspective.

Chao Yin, Xihaier Luo, Ahsan Kareem

CoRR, 2020

2019

Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data.

Xihaier Luo, Ahsan Kareem

CoRR, 2019

Deep convolutional neural networks for uncertainty propagation in random fields.

Xihaier Luo, Ahsan Kareem

Comput. Aided Civ. Infrastructure Eng., 2019