MSc Student
Research Interests
I am interested in the research and development in LiDAR remote sensing and embodied AI for hard-to-reach areas. My MSc study investigates and develops methods and algorithms on semantic mapping in GNSS-denied underground environments by integrating data from various sources and sensors such as camera, LiDAR and depth sensors. My work will include LiDAR-guided SLAM, collection of point clouds and digital images, semantic and instance segmentation of pint clouds, 3D object detection of difficult scenes using deep learning or AI algorithms.
Education
- MSc candidate in Geomatics, Department of Geography and Environmental Management, University of Waterloo, May 2025 – present
- Research Assistant, Geospatial Intelligence and Mapping Lab, University of Waterloo, Sept 2024 – April 2025
- BEng in Electrical Engineering, University of Liverpool, Sept 2019 – July 2023
Publications
- Wentao Sun, Quanyun Wu, Hanqing Xu, Kyle Gao, Yiping Chen, Dedong Zhang, Lingfei Ma, John S. Zelek, Jonathan Li, 2025. SAGOnline: Segment Any Gaussians Online, submitted to the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego Convention Center, CA, USA, Dec 2-7, 2025.
- Wentao Sun, Hanqing Xu, Quanyun Wu, Dedong Zhang, Yiping Chen, Lingfei Ma, John S. Zelek, Jonathan Li, 2025. PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting, submitted to the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego Convention Center, CA, USA, Dec 2-7, 2025.