Dule Shu

According to our database, Dule Shu authored at least 14 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning From Design Procedure To Generate CAD Programs for Data Augmentation.

Yan-Ying Chen, Dule Shu, Matthew K. Hong, Andrew Taber, Jonathan Q. Li, Matthew Klenk

CoRR, March, 2026

PLLM: Pseudo-Labeling Large Language Models for CAD Program Synthesis.

Yuanbo Li, Dule Shu, Yanying Chen, Matt Klenk, Daniel Ritchie

CoRR, February, 2026

2025

CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics.

Mohamed Elrefaie, Dule Shu, Matt Klenk, Faez Ahmed

CoRR, December, 2025

LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation.

Ghadi Nehme, Yanxia Zhang, Dule Shu, Matt Klenk, Faez Ahmed

CoRR, October, 2025

Latent neural PDE solver: A reduced-order modeling framework for partial differential equations.

Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani

J. Comput. Phys., 2025

2024

Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models.

Dule Shu, Amir Barati Farimani

CoRR, 2024

Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations.

Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani

CoRR, 2024

Inpainting Computational Fluid Dynamics with Deep Learning.

Dule Shu, Wilson Zhen, Zijie Li, Amir Barati Farimani

CoRR, 2024

2023

A physics-informed diffusion model for high-fidelity flow field reconstruction.

Dule Shu, Zijie Li, Amir Barati Farimani

J. Comput. Phys., April, 2023

Scalable Transformer for PDE Surrogate Modeling.

Zijie Li, Dule Shu, Amir Barati Farimani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Generative adversarial attacks against intrusion detection systems using active learning.

Dule Shu, Nandi O. Leslie, Charles A. Kamhoua, Conrad S. Tucker

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020

Encrypted rich-data steganography using generative adversarial networks.

Dule Shu, Weilin Cong, Jiaming Chai, Conrad S. Tucker

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020

2017

A linear temporal logic based approach for vehicle motion planning.

Dule Shu, Constantino M. Lagoa

Proceedings of the IEEE International Conference on Mechatronics, 2017

2009

Robust Tracking Control of an Underactuated Quadrotor Aerial-Robot Based on a Parametric Uncertain Model.

Dongbin Lee, Timothy C. Burg, Darren M. Dawson, Dule Shu, Bin Xian, Enver Tatlicioglu

Proceedings of the IEEE International Conference on Systems, 2009