Research Interests
Theory and computation of spectral methods, kernel methods, high dimensional data analysis, and machine learning.
Selected Grants
CAREER: Learning of graph diffusion and transport from high dimensional data with low-dimensional structures
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2023 - 2028RTG: Training Tomorrow's Workforce in Analysis and Applications
Inst. Training Prgm or CMECo-Principal Investigator · Awarded by National Science Foundation · 2021 - 2026Bridging Statistical Hypothesis Tests and Deep Learning for Reliability and Computational Efficiency
ResearchPrincipal Investigator · Awarded by Georgia Tech Research Corporation · 2022 - 2025Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET)
ResearchCo-Principal Investigator · Awarded by Simons Foundation · 2020 - 2025Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET)
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2020 - 2025NSF-BSF: Group Invariant Graph Laplacians: Theory and Computations
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2020 - 2025HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms
ResearchSenior Investigator · Awarded by National Science Foundation · 2019 - 2023Sloan Foundation Fellowship for Xiuyuan Cheng in Mathematics
ResearchPrincipal Investigator · Awarded by Alfred P. Sloan Foundation · 2019 - 2023Efficient Methods for Calibration, Clustering, Visualization and Imputation of Large scRNA-seq Data
ResearchPrincipal Investigator · Awarded by Yale University · 2019 - 2023Collaborative Research: Geometric Analysis and Computation of Generative Models
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2018 - 2022CDS&E: Structure-aware Representation Learning using Deep Networks
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2018 - 2022External Relationships
- IEEE
- US National Science Foundation (NSF)
This faculty member (or a member of their immediate family) has reported outside activities with the companies, institutions, or organizations listed above. This information is available to institutional leadership and, when appropriate, management plans are in place to address potential conflicts of interest.