معرفی
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.
