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Xihaier Luo
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2020 – today
- 2024
- [j2]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) - [c4]Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo:
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. ICLR 2024 - [c3]Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon:
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. ICML 2024 - [i15]Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga:
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. CoRR abs/2401.11611 (2024) - [i14]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 abs/2401.16936 (2024) - [i13]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 abs/2404.06418 (2024) - [i12]Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon:
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. CoRR abs/2405.12202 (2024) - [i11]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. CoRR abs/2409.17367 (2024) - 2023
- [c2]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: 255-264 - [i10]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 abs/2301.01769 (2023) - [i9]Xihaier Luo, Ahsan Kareem, Shinjae Yoo:
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing. CoRR abs/2306.04518 (2023) - [i8]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 abs/2307.08813 (2023) - [i7]Vanessa López-Marrero, Patrick R. Johnstone, Gilchan Park, Xihaier Luo:
Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences. CoRR abs/2309.15366 (2023) - 2022
- [c1]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: 2366-2374 - [i6]Xihaier Luo, Ahsan Kareem, Liting Yu, Shinjae Yoo:
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing. CoRR abs/2201.11663 (2022) - [i5]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 abs/2202.11244 (2022) - 2021
- [i4]Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga:
Feature Importance in a Deep Learning Climate Emulator. CoRR abs/2108.13203 (2021) - 2020
- [i3]Chao Yin, Xihaier Luo, Ahsan Kareem:
Probabilistic Evolution of Stochastic Dynamical Systems: A Meso-scale Perspective. CoRR abs/2004.06803 (2020)
2010 – 2019
- 2019
- [j1]Xihaier Luo, Ahsan Kareem:
Deep convolutional neural networks for uncertainty propagation in random fields. Comput. Aided Civ. Infrastructure Eng. 34(12): 1043-1054 (2019) - [i2]Xihaier Luo, Ahsan Kareem:
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data. CoRR abs/1907.04240 (2019) - [i1]Xihaier Luo, Ahsan Kareem:
Deep convolutional neural networks for uncertainty propagation in random fields. CoRR abs/1907.11198 (2019)
Coauthor Index
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