5 papers
TabPFN for Zero-shot Parametric Engineering Design Generation
Ke Wang, Yifan Tang, Nguyen Gia Hien Vu +2
Deep generative models for engineering design often require substantial computational cost, large training datasets, and extensive retraining when design requirements or datasets c…
RePaint-Enhanced Conditional Diffusion Model for Parametric Engineering Designs under Performance and Parameter Constraints
Ke Wang, Nguyen Gia Hien Vu, Yifan Tang +2
This paper presents a RePaint-enhanced framework that integrates a pre-trained performance-guided denoising diffusion probabilistic model (DDPM) for performance- and parameter-cons…
Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
Nguyen Gia Hien Vu, Yifan Tang, Rey Lim +4
Tabular Prior-Data Fitted Network (TabPFN) is a foundation model designed for small to medium-sized tabular data, which has attracted much attention recently. This paper investigat…
Capturing Lifecycle System Degradation in Digital Twin Model Updating
Yifan Tang, Mostafa Rahmani Dehaghani, G. Gary Wang
Digital twin (DT) has emerged as a powerful tool to facilitate monitoring, control, and other decision-making tasks in real-world engineering systems. Online update methods have be…
Hybrid Metaheuristic Vehicle Routing Problem for Security Dispatch Operations
Nguyen Gia Hien Vu, Yifan Tang, Rey Lim +1
This paper investigates the optimization of the Vehicle Routing Problem for Security Dispatch (VRPSD). VRPSD focuses on security and patrolling applications which involve challengi…