Xihaier Luo - RankMe

43 papers A* 3Journal 35Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DANCE: Doubly Adaptive Neighborhood Conformal Estimation. CoRR Brandon R. Feng, Brian J. Reich, Daniel Beaglehole, Xihaier Luo, David Keetae Park, Shinjae Yoo, Zhechao Huang, Xueyu Mao, Olcay Boz, Jungeum Kim
2026	J	`jnl`	Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision. CoRR Kevin Valencia, Xihaier Luo, Shinjae Yoo, David Keetae Park
2026	J	`jnl`	Variable rate neural compression for sparse detector data. Patterns Yi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph D. Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon
2025	J	`jnl`	Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. J. Comput. Biol. Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Shinjae Yoo, Shantenu Jha
2025	J	`jnl`	Dynamical Implicit Neural Representations. CoRR Yesom Park, Kelvin Kan, Thomas Flynn, Yi Huang, Shinjae Yoo, Stanley J. Osher, Xihaier Luo
2025	J	`jnl`	Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration. CoRR Yi-Tang Chen, Haoyu Li, Neng Shi, Xihaier Luo, Wei Xu, Han-Wei Shen
2025	J	`jnl`	Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration. IEEE Trans. Vis. Comput. Graph. Yi-Tang Chen, Haoyu Li, Neng Shi, Xihaier Luo, Wei Xu, Han-Wei Shen
2025	J	`jnl`	FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics. CoRR David Keetae Park, Shuhang Li, Yi Huang, Xihaier Luo, Haiwang Yu, Yeonju Go, Christopher Pinkenburg, Yuewei Lin, Shinjae Yoo, Joseph D. Osborn, Jin Huang, Yihui Ren
2025	J	`jnl`	GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders. CoRR Miruna Oprescu, David Keetae Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus
2025	J	`jnl`	Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting. CoRR Guang Zhao, Xihaier Luo, Seungjun Lee, Yihui Ren, Shinjae Yoo, Luke Van Roekel, Balu Nadiga, Sri Hari Krishna Narayanan, Yixuan Sun, Wei Xu
2025	J	`jnl`	OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning. CoRR Kevin Valencia, Thilina Balasooriya, Xihaier Luo, Shinjae Yoo, David Keetae Park
2025	A*	`conf`	SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields. ICML David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
2025	J	`jnl`	SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields. CoRR David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
2025	J	`jnl`	STACI: Spatio-Temporal Aleatoric Conformal Inference. CoRR Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich
2025	—	`conf`	Scale-Invariant Implicit Neural Representations For Object Counting. CVPR Workshops Siyuan Xu, Yucheng Wang, Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian
2025	J	`jnl`	Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference. CoRR Ayush Khot, Miruna Oprescu, Maresa Schröder, Ai Kagawa, Xihaier Luo
2024	A*	`conf`	Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. ICLR Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo
2024	J	`jnl`	Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. CoRR Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga
2024	J	`jnl`	Density estimation via measure transport: Outlook for applications in the biological sciences. Stat. Anal. Data Min. Vanessa López-Marrero, Patrick R. Johnstone, Gilchan Park, Xihaier Luo
2024	J	`jnl`	Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling. CoRR Xihaier Luo, Samuel Lurvey, Yi Huang, Yihui Ren, Jin Huang, Byung-Jun Yoon
2024	J	`jnl`	Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events. CoRR Ayush Khot, Xihaier Luo, Ai Kagawa, Shinjae Yoo
2024	—	`conf`	GAN-based Extreme Conditional Distribution Estimation for Renewable Energy Systems. SmartGridComm Guang Zhao, Xihaier Luo, Shinjae Yoo, Nicole D. Jackson
2024	A*	`conf`	Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. ICML Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon
2024	J	`jnl`	Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. CoRR Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon
2024	—	`conf`	Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. MLSP Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon
2024	J	`jnl`	Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. CoRR Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon
2024	J	`jnl`	Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data. CoRR Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon
2024	J	`jnl`	Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers Bioinform. 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
2024	J	`jnl`	Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction. CoRR Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo
2024	J	`jnl`	Variable Rate Neural Compression for Sparse Detector Data. CoRR Yi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph D. Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon
2023	—	`conf`	Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges. BioNLP@ACL Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander
2023	J	`jnl`	Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. CoRR Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander
2023	J	`jnl`	Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. CoRR Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon
2023	J	`jnl`	Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences. CoRR Vanessa López-Marrero, Patrick R. Johnstone, Gilchan Park, Xihaier Luo
2023	J	`jnl`	Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing. CoRR Xihaier Luo, Ahsan Kareem, Shinjae Yoo
2022	J	`jnl`	A Bayesian Deep Learning Approach to Near-Term Climate Prediction. CoRR Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo
2022	J	`jnl`	A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing. CoRR Xihaier Luo, Ahsan Kareem, Liting Yu, Shinjae Yoo
2022	—	`conf`	Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. BIBM Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon
2021	J	`jnl`	Feature Importance in a Deep Learning Climate Emulator. CoRR Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga
2020	J	`jnl`	Probabilistic Evolution of Stochastic Dynamical Systems: A Meso-scale Perspective. CoRR Chao Yin, Xihaier Luo, Ahsan Kareem
2019	J	`jnl`	Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data. CoRR Xihaier Luo, Ahsan Kareem
2019	J	`jnl`	Deep convolutional neural networks for uncertainty propagation in random fields. Comput. Aided Civ. Infrastructure Eng. Xihaier Luo, Ahsan Kareem
2019	J	`jnl`	Deep convolutional neural networks for uncertainty propagation in random fields. CoRR Xihaier Luo, Ahsan Kareem