Aye Phyu Phyu Aung — accepted AI-conference papers

2026

Physics Informed Generative Models for Magnetic Field Images

Aye Phyu Phyu Aung, Lucas Lum, Zhansen Shi, Wen Qiu, Yeow Kheng Lim, Senthilnath Jayavelu

ICASSP 2026poster

In semiconductor manufacturing, defect detection and localization are critical to ensuring product quality and yield. While X-ray imaging is a reliable non-destructive testing method, it is memory-intensive and time-consuming for large-scale scanning, Magnetic Field Imaging (MFI) offers a more effic…

Cited by 0 Source ↗PDF ↗Scholar ↗

2022

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks

Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li

CVPR 2022poster

In this paper, we propose a new approach to train Generative Adversarial Networks (GANs) where we deploy a double-oracle framework using the generator and discriminator oracles. GAN is essentially a two-player zero-sum game between the generator and the discriminator. Training GANs is challenging as…

Cited by 5 PDF ↗Scholar ↗