Efficient-PrototypicalNet with self knowledge distillation for few-shot learning. - Jit Yan Lim; Kian-Ming Lim; Shih Yin Ooi; Chin-Poo Lee (Neurocomputing, 2021)

Enhanced Text-to-Image Synthesis With Self-Supervision. - Yong Xuan Tan; Chin-Poo Lee; Mai Neo; Kian-Ming Lim; Jit Yan Lim (IEEE Access, 2023)

Recent Advances in Text-to-Image Synthesis: Approaches, Datasets and Future Research Prospects. - Yong Xuan Tan; Chin-Poo Lee; Mai Neo; Kian-Ming Lim; Jit Yan Lim; Ali Alqahtani 001 (IEEE Access, 2023)

Text-to-image synthesis with self-supervised bi-stage generative adversarial network. - Yong Xuan Tan; Chin-Poo Lee; Mai Neo; Kian-Ming Lim; Jit Yan Lim (Pattern Recognit. Lett., 2023)

SCL: Self-supervised contrastive learning for few-shot image classification. - Jit Yan Lim; Kian-Ming Lim; Chin-Poo Lee; Yong Xuan Tan (Neural Networks, 2023)

SFT: Few-Shot Learning via Self-Supervised Feature Fusion With Transformer. - Jit Yan Lim; Kian-Ming Lim; Chin-Poo Lee; Yong Xuan Tan (IEEE Access, 2024)

SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning. - Jit Yan Lim; Kian-Ming Lim; Chin-Poo Lee; Yong Xuan Tan (Expert Syst. Appl., 2024)

A review of few-shot fine-grained image classification. - Jia Min Lim; Kian-Ming Lim; Chin-Poo Lee; Jit Yan Lim (Expert Syst. Appl., 2025)

A review of few-shot image classification: Approaches, datasets and research trends. - Jit Yan Lim; Kian-Ming Lim; Chin-Poo Lee; Yong Xuan Tan (Neurocomputing, 2025)