Hwa Liang Leo — accepted AI-conference papers

2026

When Trackers Date Fish: A Benchmark and Framework for Underwater Multiple Fish Tracking

Weiran Li, Yeqiang Liu, Qiannan Guo, Yijie Wei, Hwa Liang Leo, Zhenbo Li

AAAI 2026technical

Multiple object tracking (MOT) technology has made significant progress in terrestrial applications, but underwater tracking scenarios remain underexplored despite their importance to marine ecology and aquaculture. In this paper, we present Multiple Fish Tracking Dataset 2025 (MFT25), a comprehensi

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2025

AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics

Wenhao Ding, Yiying Sheng, Simão Nieto de Castro, Hwa Liang Leo, Choon Hwai Yap

NeurIPS 2025poster

Hemodynamics has a substantial influence on normal cardiovascular growth and disease formation, but requires time-consuming simulations to obtain. Deep Learning algorithms to rapidly predict hemodynamics parameters can be very useful, but their development is hindered by the lack of large dataset on…

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