no code implementations • 9 Apr 2024 • Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo
Learning a continuous and reliable representation of physical fields from sparse sampling is challenging and it affects diverse scientific disciplines.
no code implementations • 30 Jan 2024 • Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon
World is looking for clean and renewable energy sources that do not pollute the environment, in an attempt to reduce greenhouse gas emissions that contribute to global warming.
no code implementations • 21 Jan 2024 • Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga
Reliably reconstructing physical fields from sparse sensor data is a challenge that frequently arises in many scientific domains.
no code implementations • 27 Sep 2023 • Vanessa Lopez-Marrero, Patrick R. Johnstone, Gilchan Park, Xihaier Luo
One among several advantages of measure transport methods is that they allow for a unified framework for processing and analysis of data distributed according to a wide class of probability measures.
1 code implementation • 17 Jul 2023 • Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Shinjae Yoo, Shantenu Jha
Understanding protein interactions and pathway knowledge is crucial for unraveling the complexities of living systems and investigating the underlying mechanisms of biological functions and complex diseases.
no code implementations • 7 Jun 2023 • Xihaier Luo, Ahsan Kareem, Shinjae Yoo
Deciding how to optimally deploy sensors in a large, complex, and spatially extended structure is critical to ensure that the surface pressure field is accurately captured for subsequent analysis and design.
1 code implementation • 3 Jan 2023 • Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa Lopez-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon
There are various sources of ionizing radiation exposure, where medical exposure for radiation therapy or diagnosis is the most common human-made source.
no code implementations • 23 Feb 2022 • Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo
Since model bias and associated initialization shock are serious shortcomings that reduce prediction skills in state-of-the-art decadal climate prediction efforts, we pursue a complementary machine-learning-based approach to climate prediction.
no code implementations • 25 Jan 2022 • Xihaier Luo, Ahsan Kareem, Liting Yu, Shinjae Yoo
The growing interest in creating a parametric representation of liquid sloshing inside a container stems from its practical applications in modern engineering systems.
no code implementations • 27 Aug 2021 • Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga
From the perspective of climate dynamics, these findings suggest a dominant role for local processes and a negligible role for remote teleconnections at the spatial and temporal scales we consider.
no code implementations • 8 Jul 2019 • Xihaier Luo, Ahsan Kareem
Datasets in engineering applications are often limited and contaminated, mainly due to unavoidable measurement noise and signal distortion.