Scholar
Binghang Lu
Google Scholar ID: EFPK9yoAAAAJ
Graduate researcher of Electrical and Computer Engineering & Mathematics, Purdue University
Generative AI
Scientific Machine Learning
Deep Learning
Optimization
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
190
H-index
3
i10-index
2
Publications
5
Co-authors
3
list available
Contact
Email
lu895@purdue.edu
CV
Open ↗
GitHub
Open ↗
Publications
4 items
Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning
2026
Cited
0
Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition
2026
Cited
0
An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Operator Learning Network
2025
Cited
0
MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter
2025
Cited
0
Resume (English only)
Academic Achievements
Sep 2025: Awardee of Institute for Mathematical and Statistical Innovation (IMSI) travel award
Aug 2025: 1 paper submitted to IEEE Transactions on Evolutionary Computation
Aug 2025: 1 paper accepted by Journal of Computational Physics
Jun 2025: 1 paper published in Journal of Computational Physics
May 2025: 1 paper submitted to Journal of Computational Physics
Dec 2024: Awarded Undergraduate Research Scholarship 2024–2025 (Top 5%)
Apr 2024: Awarded Spira Undergraduate Research Fellowship, College of Science, Purdue University (1/6000)
Mar 2024: Office of Undergraduate Research Scholarship, Purdue University (Top 5%)
May 2023: Thomas Arai Scholarship, Department of Mathematics, Purdue University (Top 1%)
Mar 2023: 1 paper published in Algorithm
Reviewer for: IEEE TNNLS, IEEE DSAA, SIAM MMS, Journal of Computing and Information Science in Engineering
Co-authors
3 total
Guang Lin
Associate Dean for Research, Moses Cobb Stevens Professor in Mathematics, Mech Eng Purdue University
Co-author 2
Changhong Mou
Assistant Professor, Department of Mathematics & Statistics, Utah State University
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