Personal profile
Biography
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/Academic qualification
Information Technology, Doctor of Philosophy (Information Technology), Self-supervised Metric-based Meta-learning for Few-shot Image Classification, Universiti Multimedia (Multimedia University)
Jan 2020 → May 2023
Award Date: 11 May 2023
Information Technology, Bachelor of Information Technology (Hons.) Artificial Intelligence, Universiti Multimedia (Multimedia University)
Nov 2016 → Jul 2019
Award Date: 11 Jul 2019
Research area keywords
- Few-shot Learning
- Computer Vision
- Deep Learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
Collaborations and top research areas from the last five years
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LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis
Tan, Y. X., Lim, J. Y., Lim, K. M. & Lee, C. P., 15 Jan 2026, In: Expert Systems with Applications. 296, Part B, 129005.Research output: Contribution to journal › Article › Research › peer-review
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A review of few-shot fine-grained image classification
Lim, J. M., Lim, K. M., Lee, C. P. & Lim, J. Y., 25 May 2025, In: Expert Systems with Applications. 275, 32 p., 127054.Research output: Contribution to journal › Review Article › Research › peer-review
12 Link opens in a new tab Citations (Scopus) -
A review of few-shot image classification: Approaches, datasets and research trends
Lim, J. Y., Lim, K. M., Lee, C. P. & Tan, Y. X., 7 Oct 2025, In: Neurocomputing. 649, 39 p., 130774.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus) -
SFT: Few-Shot Learning via Self-Supervised Feature Fusion With Transformer
Lim, J. Y., Lim, K. M., Lee, C. P. & Tan, Y. X., 18 Jun 2024, In: IEEE Access. 12, p. 86690-86703 14 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus) -
SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning
Lim, J. Y., Lim, K. M., Lee, C. P. & Tan, Y. X., 15 Mar 2024, In: Expert Systems with Applications. 238, 11 p., 122173.Research output: Contribution to journal › Article › Research › peer-review
75 Link opens in a new tab Citations (Scopus)