I am a final-year Ph.D. candidate from the College of Design and Engineering, National University of Singapore. My research interests include machine learning, computer vision, deep learning, 3D computer vision, Point Cloud, computer graphics, time-series models, Few-/Zero-Shot learning, vision-language models, efficient AI, and large language models.

I am advised by Prof. Lee Tong Heng and Prof. Abdullah Al Mamun. I am very fortunate to work closely with Prof. Cheng Xiang, Prof. Prahlad VADAKKEPAT in NUS, and Dr. Haiyue Zhu from SIMTech, A*Star.

Before joining NUS, I obtained my B.S. degree from the School of Physics, Harbin Institute of Technology.

My CV can be accessed here: CV_Jiahui_Wang.

News

[Nov 2025] Our work “EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance” is accepted by AAAI 2026 as an Oral presentation!

[Sep 2025] Our work “SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference” is accepted by NeurIPS 2025!

[Sep 2025] Our work “DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation” is accepted by NeurIPS 2025!

[Feb 2025] Our work “SDSimPoint: Shallow-Deep Similarity Learning for Few-Shot Point Cloud Semantic Segmentation” is accepted by IEEE TNNLS 2025!

[Dec 2024] Our work “Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment” is accepted by AAAI 2025!

[May 2023] Our work “Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention” is published on ICRA 2023!