Proposes DDAVS, which disentangles multi-source audio semantics via a prototype-anchored query mechanism and aligns modalities through delayed bidirectional cross attention, achieving state-of-the-art audio-visual segmentation results.
Research & Publications
Exemplar-Free Continual Learning for State Space Models
Proposes Inf-SSM, a geometry-aware regularization method for exemplar-free continual learning in state-space models. The method constrains the long-term evolution of SSM states through the extended observability subspace, reducing catastrophic forgetting while improving performance across sequential tasks.
Self-supervised Learning for Acoustic Few-Shot Classification
Studies self-supervised pre-training for acoustic few-shot classification, where labelled audio data are scarce. The work combines CNN-based feature extractor with SSM, and utilizes contrastive learning to improve acoustic representations for few-shot classification settings.
Education
Doctor of Philosophy (PhD)
B.Eng. Electrical & Computer Systems Engineering (Hons)
Research Experience
PhD Student
Commenced doctoral research at the NUS School of Computing under the supervision of Prof. Mohan Kankanhalli, focusing on machine learning, continual learning, and test-time adaptation.
Visiting Research Student
Worked as a visiting student in A/Prof. Yansong Tang's group on audio-visual segmentation research.
Affiliate Researcher
Worked on continual learning and test-time adaptation research with A/Prof. Mehrtash Harandi, Dr. Trung Le, Dr. Jing Wu, and Dr. Leila Mahmoodi.
Teaching
Teaching Assistant · CS4248 Introduction to Large Language Models
Teaching assistant for CS4248, under Prof. Hwee Tou Ng.
Writing
《梦蝶归乡》
Simanggang, Sarawak
Simanggang is a small town about a three-hour drive from Kuching, known for the Batang Lupar River and its spectacular tidal bore — locally called Benak — regarded as one of the world’s most remarkable tidal bore phenomena.
The town preserves colonial-era forts, shophouses, and heritage buildings, while the surrounding rainforest is home to saltwater crocodiles, orangutans, racket-tailed drongos, greater argus pheasants, fireflies, and more.
Contact
Open to research collaborations, academic discussion, and opportunities in AI and ML.