Binghang Lu
Scholar

Binghang Lu

Google Scholar ID: EFPK9yoAAAAJ
Graduate researcher of Electrical and Computer Engineering & Mathematics, Purdue University
Generative AIScientific Machine LearningDeep LearningOptimization
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
190
 
H-index
3
 
i10-index
2
 
Publications
5
 
Co-authors
3
list available
Contact
Emaillu895@purdue.eduCVOpen ↗GitHubOpen ↗
Publications
9 items
When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?
2026
Cited
0
fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations
2026
Cited
0
Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning
2026
Cited
0
AdamFLIP: Adaptive Momentum Feedback Linearization Optimization for Hard Constrained PINN Training
2026
Cited
0
Chain of Risk: Safety Failures in Large Reasoning Models and Mitigation via Adaptive Multi-Principle Steering
2026
Cited
0
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
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
Guang Lin
Associate Dean for Research, Moses Cobb Stevens Professor in Mathematics, Mech Eng Purdue University
Zhaopeng Hao
Zhaopeng Hao
School of Mathematics, Southeast University, China
Changhong Mou
Changhong Mou
Assistant Professor, Department of Mathematics & Statistics, Utah State University