Jin-Long Wu

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Papers (9)

1. Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems cs.MA · 2026 · author #4
2. Seeing Permeability From Images: Fast Prediction with Convolutional Neural Networks physics.comp-ph · 2018 · author #1
3. RANS Equations with Explicit Data-Driven Reynolds Stress Closure Can Be Ill-Conditioned physics.flu-dyn · 2018 · author #1
4. Physics-Informed Machine Learning Approach for Augmenting Turbulence Models: A Comprehensive Framework physics.flu-dyn · 2018 · author #1
5. A Priori Assessment of Prediction Confidence for Data-Driven Turbulence Modeling physics.comp-ph · 2016 · author #1
6. Are Discrepancies in RANS Modeled Reynolds Stresses Random? physics.flu-dyn · 2016 · author #2
7. A Physics Informed Machine Learning Approach for Reconstructing Reynolds Stress Modeling Discrepancies Based on DNS Data physics.flu-dyn · 2016 · author #2
8. Quantifying Model Form Uncertainty in RANS Simulation of Wing-Body Junction Flow physics.flu-dyn · 2016 · author #1
9. Incorporating Prior Knowledge for Quantifying and Reducing Model-Form Uncertainty in RANS Simulations physics.flu-dyn · 2015 · author #2

Mentions

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Frequent Coauthors

• Heng Xiao 8 shared papers
• Jian-Xun Wang 5 shared papers
• Dan Negrut 1 shared papers
• Eric G. Paterson 1 shared papers
• Eric Paterson 1 shared papers
• Huchen Yang 1 shared papers
• Julia Ling 1 shared papers
• Qiqi Wang 1 shared papers
• Rui Sun 1 shared papers
• Xiao-Long Yin 1 shared papers
• Xinghao Dong 1 shared papers