Chenguang Duan

Orcid: 0009-0009-0815-6281

According to our database1, Chenguang Duan authored at least 16 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Preconditioning and Numerical Stability in Neural Network Training for Parametric PDEs.
CoRR, January, 2026

Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs.
CoRR, January, 2026

Inference-Time Alignment for Diffusion Models via Doob's Matching.
CoRR, January, 2026

2025
Provable Diffusion Posterior Sampling for Bayesian Inversion.
CoRR, December, 2025

Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network.
IEEE Trans. Inf. Theory, April, 2025

Deep contrastive representation learning for supervised tasks.
Pattern Recognit., 2025

Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Current density impedance imaging with PINNs.
J. Comput. Appl. Math., 2024

Nonlinear Assimilation with Score-based Sequential Langevin Sampling.
CoRR, 2024

Unsupervised Transfer Learning via Adversarial Contrastive Training.
CoRR, 2024

Characteristic Learning for Provable One Step Generation.
CoRR, 2024

Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond.
CoRR, 2024

2023
Current density impedance imaging with PINNs.
CoRR, 2023

Fast Excess Risk Rates via Offset Rademacher Complexity.
Proceedings of the International Conference on Machine Learning, 2023

2021
Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions.
CoRR, 2021

Convergence Rate Analysis for Deep Ritz Method.
CoRR, 2021


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