Luo, Xihaier

10 publications

NeurIPS 2025 GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding Miruna Oprescu, David Keetae Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus

ICML 2025 SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo

NeurIPS 2025 STACI: Spatio-Temporal Aleatoric Conformal Inference Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian Reich

CVPRW 2025 Scale-Invariant Implicit Neural Representations for Object Counting Siyuan Xu, Yucheng Wang, Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian

ICLRW 2024 Biologically Interpretable VAE with Supervision for Transcriptomics Data Under Ordinal Perturbations Seyednami Niyakan, Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian

ICLR 2024 Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo

NeurIPSW 2024 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

ICML 2024 Hierarchical Neural Operator Transformer with Learnable Frequency-Aware Loss Prior for Arbitrary-Scale Super-Resolution Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon

ICMLW 2023 Reinstating Continuous Climate Patterns from Small and Discretized Data Xihaier Luo, Xiaoning Qian, Nathan Urban, Byung-Jun Yoon

NeurIPSW 2022 Zero or Infinite Data? Knowledge Synchronized Machine Learning Emulation Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga, Ahsan Kareem