Tan Yong Xuan

Tan Yong Xuan is an Assistant Lecturer at the Malaysia School of Information Technology, specializing in advanced AI research. His work focuses on Deep Learning, Computer Vision, and Self-supervised Learning techniques, particularly in Few-shot Learning and Generative Adversarial Networks (GANs). He holds a Master of Science in Information Technology (2023) and a Bachelor of Information Technology (Honours) in Artificial Intelligence (2019), both from Multimedia University.

His research explores innovative applications of AI in fields like medical diagnostics (e.g., brain tumor detection), e-commerce analytics (customer behavior modeling), and text-to-image synthesis. Notable contributions include developing self-supervised learning frameworks for Few-shot Learning and advancing GAN-based image generation systems. His work frequently addresses challenges in data scarcity and model efficiency.

Recent publications span 2022-2025, emphasizing methodological advancements in Few-shot Learning, Transfer Learning, and generative AI. Collaborations involve multidisciplinary teams focusing on real-world AI applications. No formal awards are listed, but his active publication record reflects academic engagement.