Scholar
Lulu Kang
Google Scholar ID: oOLzywcAAAAJ
Associate Professor of University of Massachusetts Amherst
statistical design of experiments
statistical learning
uncertainty quantification
operations
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Citations & Impact
All-time
Citations
512
H-index
12
i10-index
13
Publications
20
Co-authors
21
list available
Publications
12 items
Adaptive Nyström for Gaussian Process Regression
2026
Cited
0
SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models
2026
Cited
0
Robust Joint Modeling for Data with Continuous and Binary Responses
2026
Cited
0
Robust and Sparse Generalized Linear Models for High-Dimensional Data via Maximum Mean Discrepancy
2026
Cited
0
Bayesian Bridge Gaussian Process Regression
2025
Cited
0
Robust Analysis for Resilient AI System
2025
Cited
0
Active Learning for Manifold Gaussian Process Regression
2025
Cited
0
Design of Experiments for Emulations: A Selective Review from a Modeling Perspective
2025
Cited
0
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Co-authors
11 total
Xinwei Deng
Professor of Statistics, Virginia Tech
V. Roshan Joseph
A. Russell Chandler III Chair and Professor of Industrial and Systems Engineering, Georgia Tech
Yiwei Wang
University of California, Riverside
Chun Liu
Department of Applied Mathematics, Illinois Institute of Technology
Hadis Anahideh
Assistant Professor @ University of Illinois at Chicago
Ran Jin
Professor, ISE Dept., Virginia Tech
C. Devon Lin
Queen's University
Guang Lin
Associate Dean for Research, Moses Cobb Stevens Professor in Mathematics, Mech Eng Purdue University
