Jiequn Han

Identifiers

• name variant Jiequn Han 0.60 · backfill

Papers (10)

1. Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control math.OC · 2026 · author #2
2. Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization cs.LG · 2026 · author #2
3. Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants cs.LG · 2025 · author #2
4. DeePCG: constructing coarse-grained models via deep neural networks physics.chem-ph · 2018 · author #2
5. DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics physics.comp-ph · 2017 · author #3
6. Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics physics.comp-ph · 2017 · author #2
7. Solving high-dimensional partial differential equations using deep learning math.NA · 2017 · author #1
8. Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations math.NA · 2017 · author #2
9. Deep Learning Approximation for Stochastic Control Problems cs.LG · 2016 · author #1
10. From microscopic theory to macroscopic theory: a systematic study on static modeling for liquid crystals math.AP · 2013 · author #1

Mentions

• 1707.02568 #1 · arxiv_oai · confidence 0.70 Jiequn Han
• 1706.04702 #2 · arxiv_oai · confidence 0.70 Jiequn Han
• 1305.4889 #1 · arxiv_oai · confidence 0.70 Jiequn Han
• 1305.4889 #1 · backfill · confidence 0.70 Jiequn Han

Frequent Coauthors

• Weinan E 6 shared papers
• Han Wang 3 shared papers
• Linfeng Zhang 3 shared papers
• Arnulf Jentzen 2 shared papers
• Roberto Car 2 shared papers
• Carles Domingo-Enrich 1 shared papers
• Chirag Modi 1 shared papers
• Eric Vanden-Eijnden 1 shared papers
• Joan Bruna 1 shared papers
• Luhuan Wu 1 shared papers
• Minhuan Li 1 shared papers
• Pilar Cossio 1 shared papers
• Pingwen Zhang 1 shared papers
• Wei Wang 1 shared papers
• Yi Luo 1 shared papers