Hey there 👋

I’m Lily’s dad. I love digging into cool research problems. Recently I’ve spent most of my time building AI models for scientific problems and have trained quite a few that turned out well. Funny enough, my best ideas often arrive while I’m out walking with Lily 🚶‍♀️, then I try them afterward and they work 💡.

Research Interests

  • Scientific Machine Learning: AI for Science, Representation Learning, High Performance Computing
  • Computational Mathematics: Numerical Optimization, Uncertainty Quantification, Probabilistic Modeling
  • Computational Physics: Dynamical System Modeling, Multiscale Modeling, Stochastic Processes

Publications

* denotes equal contribution or advising; † denotes corresponding author

STACI: Spatio-Temporal Aleatoric Conformal Inference
Feng, Brandon R., David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich
NeurIPS 2025
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
Oprescu, Miruna, David K. Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus
NeurIPS 2025
Mamba-GINR: A Scalable Framework for Spatiotemporal Representation of fMRI
Thilina Balasooriya, Jubin Choi, Kevin Valencia, Xihaier Luo, Shinjae Yoo, David Keetae Park
NeurIPS - Data on the Brain & Mind Findings Workshop 2025
One Stone Three Birds: Three-Dimensional Implicit Neural Network for Compression and Continuous Representation of Multi-Altitude Climate Data
Alif Bin Abdul Qayyum, Xihaier Luo, Nathan Urban, Xiaoning Qian, Byung-Jun Yoon
NeurIPS - Tackling Climate Change with Machine Learning workshop 2025
Scale-Invariant Implicit Neural Representations For Object Counting
Siyuan Xu, Yucheng Wang, Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian
CVPR - EarthVision Workshop 2025
Extending Two Explainable Artificial Intelligence Methods for Deep Climate Emulators
Xu, Wei, Xihaier Luo, Yihui Ren, Shinjae Yoo, Luke Van Roekel, Balu T. Nadiga, Rui Qiu, Han-Wei Shen
ICLR - Tackling Climate Change with Machine Learning Workshop 2025
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting
Zhao, Guang, Xihaier Luo, Seungjun Lee, Yihui Ren, Shinjae Yoo, Luke Van Roekel, Balu Nadiga, Sri Hari Krishna Narayanan, Yixuan Sun, Wei Xu
ICLR - Tackling Climate Change with Machine Learning Workshop 2025
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
Park, David Keetae, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
ICML 2025
Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling
Xihaier Luo†, Samuel Lurvey, Yi Huang, Yihui Ren, Jin Huang, Byung-Jun Yoon
NeurIPS - Neural Compression Workshop 2024
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events
Ayush Khot, Xihaier Luo, Ai Kagawa
NeurIPS - Machine Learning and the Physical Sciences Workshop 2024
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
Xihaier Luo†, Xiaoning Qian, Byung-Jun Yoon
ICML 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
AAAI - XAI4Sci workshop 2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
Xihaier Luo†, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo
ICLR 2024
Biologically Interpretable VAE with Supervision for Transcriptomics Data Under Ordinal Perturbations
Seyednami Niyakan Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian
ICLR - Machine Learning for Genomics Explorations Workshop 2024
Reinstating Continuous Climate Patterns From Small and Discretized Data
Xihaier Luo†, Xiaoning Qian, Nathan Urban, Byung-Jun Yoon
ICML - SynS and ML Workshop 2023
Zero or Infinite Data? Knowledge Synchronized Machine Learning Emulation
Xihaier Luo†, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga, Ahsan Kareem
NeurIPS - AI4Science Workshop 2022
Feature Importance in a Deep Learning Climate Emulator
Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balu Nadiga
ICLR - AI: Modeling Oceans and Climate Change Workshop 2021