Wei (Celia) Xu

Brookhaven National Laboratory

Computational Science
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-8155
xuw@bnl.gov

Expertise | Research | Education | Appointments | Publications | Highlights | Awards

Expertise

Machine Learning, Deep Learning, Visualization, Digital Twins, Embodied AI.

Research Activities

• SciDAC BER: Foundation Models, Representation Learning
• Portfolio, Internal: Digital Twins, Visual Analytics, Embodied AI, Human AI Collaboration
• SciDAC RAPIDS Institution: Explainable Artificial Intelligence
• DSSI/DAWI Group: Tomviz for X-ray Flluorescence Tomography and Visualization

Education

• Ph.D. Computer Science, Stony Brook University
• M.S. Computer Science, Zhejiang University
• M.S. Computer Science, Zhejiang University

Professional Appointments

• Research Professor, Computer Science, Stony Brook University

Selected Publications

• Chen Y-T, Li H, Shi N, et al (2025) Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration. IEEE Transactions on Visualization and Computer Graphics 31:3758–3770. https://doi.org/10.1109/tvcg.2025.3567052
• Kelly C, Xu W, Pouchard LC, et al (2025) Performance analysis and data reduction for exascale scientific workflows. The International Journal of High Performance Computing Applications 39:553–578. https://doi.org/10.1177/10943420251316253
• Zhao G, Luo X, Lee S, et al (2025) Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting, ICLR co-held TCCML workshop
• Luo X, Xu W, Ren Y, et al (2024) Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks, The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria
• Kumar A, Zhang X, Xin HL, et al (2024) RadVolViz: An Information Display-Inspired Transfer Function Editor for Multivariate Volume Visualization. IEEE Transactions on Visualization and Computer Graphics 30:4464–4479. https://doi.org/10.1109/tvcg.2023.3263856
• Xu W, DeSantis DF, Luo X, et al (2024) Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction, AAAI co-held XAI4Sci workshop, Vancouver, Canada
• Ruan S, Yuan R, Guan Q, et al (2023) VENUS: A Geometrical Representation for Quantum State Visualization. Computer Graphics Forum 42:247–258. https://doi.org/10.1111/cgf.14827
• Luo X, Nadiga BT, Park JH, et al (2022) A Bayesian Deep Learning Approach to Near-Term Climate Prediction. Journal of Advances in Modeling Earth Systems 14:. https://doi.org/10.1029/2022ms003058
• Huang X, Jamonnak S, Zhao Y, Wang B, Hoai M, Yager K, Xu W (2021) Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images. IEEE Transactions on Visualization and Computer Graphics 27:1312–1321. doi: 10.1109/tvcg.2020.3030384
• Kelly C, Ha S, Huck K, Van Dam H, Pouchard L, Matyasfalvi G, Tang L, D'Imperio N, Xu W, Yoo S, Van Dam KK (2020) Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization. doi: 10.1145/3426462.3426465
• Xu W, Ha S, Zhong W, Cheng S, Yan H, Yager KG, Mueller K, Huang X, Fukuto M, Chu Y (2020) Visual Analytics for Scientific Data in NSLS-II. Handbook on Big Data and Machine Learning in the Physical Sciences 159–168. doi: 10.1142/9789811204579_0009
• Cheng S, Xu W, Mueller K (2019) ColorMapND: A Data-Driven Approach and Tool for Mapping Multivariate Data to Color. IEEE Transactions on Visualization and Computer Graphics 25:1361–1377. doi: 10.1109/tvcg.2018.2808489
• Xie C, Xu W, Mueller K (2019) A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Applications. IEEE Transactions on Visualization and Computer Graphics 25:215–224. doi: 10.1109/tvcg.2018.2865026

Research Highlights

• Embodied AI at Brookhaven National Lab
• Visualizing Scientific Big Data
• Meeting the Eye

Awards & Recognition

• Best Paper Award, PacificVIS, 2025
• Spotlight Award, ICLR co-held TCCML workshop, 2025
• Best Paper Award, IEEE SC/ISAV, 2020
• Honorable Mention Award, IEEE VIS, 2018
• Women@Energy, 2014
• Best Paper Award, Fully3D/HPIR, 2009