Yoo, Shinjae

19 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 Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators Shanda Li, Shinjae Yoo, Yiming Yang

ICLR 2025 Pareto Prompt Optimization Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian

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

AAAI 2024 AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha

NeurIPS 2024 CLIPCEIL: Domain Generalization Through CLIP via Channel rEfinement and Image-Text aLignment Xi Yu, Shinjae Yoo, Yuewei Lin

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

AAAI 2024 Energy Efficient Streaming Time Series Classification with Attentive Power Iteration Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo

ICML 2023 A Neural PDE Solver with Temporal Stencil Modeling Zhiqing Sun, Yiming Yang, Shinjae Yoo

ICMLW 2023 Less-Energy-Usage Network with Batch Power Iteration Hao Huang, Tapan Shah, Scott C Evans, Shinjae Yoo

NeurIPS 2023 SwiFT: Swin 4D fMRI Transformer Peter Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon

WACV 2023 UVCGAN: UNet Vision Transformer Cycle-Consistent GAN for Unpaired Image-to-Image Translation Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren

NeurIPSW 2022 Deconvolution of Astronomical Images with Deep Neural Networks Hong Wang, Sreevarsha Sreejith, Yuewei Lin, Nesar Soorve Ramachandra, Anže Slosar, Shinjae Yoo

ICLR 2022 Sparse Attention with Learning to Hash Zhiqing Sun, Yiming Yang, Shinjae Yoo

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

ICCV 2021 AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-Directional Metric Learning Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin

UAI 2020 Bounding the Expected Run-Time of Nonconvex Optimization with Early Stopping Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D’Imperio, Shinjae Yoo

NeurIPS 2019 Re-Examination of the Role of Latent Variables in Sequence Modeling Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo