About Me
Jit Yan Lim received B.IT (Hons) in Artificial Intelligence and Ph.D. (I.T.) from Multimedia University. He is currently a Lecturer with the School of Information Technology, Monash University Malaysia. His teaching and research interests are few-shot learning, computer vision and deep learning.
Education
Multimedia University (MMU) Malacca Campus, Malaysia
Doctor of Philosophy (Ph.D.) Information Technology
(Jan 2020 - May 2023)
Completed
Multimedia University (MMU) Malacca Campus, Malaysia
Bachelor of Information Technology (Hons.) Artificial Intelligence
(Nov 2016 - May 2019)
CGPA: 3.98/4.00
Publications
SFT: Few-Shot Learning via Self-supervised Feature Fusion with Transformer (2024) [Code]
Jit Yan Lim, Kian Ming Lim, Chin Poo Lee, Yong Xuan Tan
IEEE Access
SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning (2024) [Code]
Jit Yan Lim, Kian Ming Lim, Chin Poo Lee, Yong Xuan Tan
Expert Systems with Applications
Recent Advances in Text-to-Image Synthesis: Approaches, Datasets and Future Research Prospects (2023)
Yong Xuan Tan, Chin Poo Lee, Mai Neo, Kian Ming Lim, Jit Yan Lim, Ali Alqahtani
IEEE Access
SCL: Self-supervised contrastive learning for few-shot image classification (2023) [Code]
Jit Yan Lim, Kian Ming Lim, Chin Poo Lee, Yong Xuan Tan
Neural Networks
Enhanced Text-to-Image Synthesis With Self-Supervision (2023) [Code]
Yong Xuan Tan, Chin Poo Lee, Mai Neo, Kian Ming Lim, Jit Yan Lim
IEEE Access
Text-to-Image Synthesis with Self-Supervised Bi-Stage Generative Adversarial Network (2023) [Code]
Yong Xuan Tan, Chin Poo Lee, Mai Neo, Kian Ming Lim, Jit Yan Lim
Pattern Recognition Letters
Enhanced Text-to-Image Synthesis Conditional Generative Adversarial Networks (2022)
Yong Xuan Tan, Chin Poo Lee, Mai Neo, Kian Ming Lim, Jit Yan Lim
IAENG International Journal of Computer Science
Efficient-PrototypicalNet with self knowledge distillation for few-shot learning (2021) [Code]
Jit Yan Lim, Kian Ming Lim, Shih Yin Ooi, Chin Poo Lee
Neurocomputing