Xuesong Li

Xuesong Li is a Research Fellow at Australian National University (ANU) and CSIRO, focusing on machine learning and 3D scene reconstruction. His research integrates autonomous systems, dynamic/static scene modeling, and object detection through innovative approaches like Neural Radiance Fields (NeRF). Previously, he worked at Huawei (Shanghai) on autonomous driving technologies involving LiDAR point cloud analysis. He holds a Ph.D. in Robotics from UNSW Sydney (2020), with a thesis centered on object detection for intelligent robots.

Education:

• Ph.D. in Robotics, UNSW Sydney (2020)

Research Interests: Machine learning applications in 3D reconstruction (e.g., dynamic/static scenes, reflective objects), spatial transcriptomics analysis, crop biomass estimation via multi-modal datasets, and autonomous system development. His work bridges computer vision with real-world challenges in agriculture, robotics, and medical imaging.

Publications Trends: Recent work emphasizes cross-domain knowledge transfer, long-tailed recognition, and real-world 3D reconstruction challenges. Notable contributions include the MMCBE dataset for crop biomass prediction and AGP-Net for spatial transcriptomics analysis.

Awards: None explicitly mentioned.

Advising & Collaborations: Actively recruiting visiting PhD and master’s students in machine learning and 3D reconstruction. Collaborates with institutions like CSIRO and Huawei, focusing on applications in autonomous systems and precision agriculture.

Labs/Teams: Involved with ANU’s Division of Ecology and Evolution and CSIRO’s research groups, leveraging interdisciplinary approaches to tackle complex problems in robotics and environmental science.