Yanhao Zhang (张严皓)

Working Experience

• Feb. 2025 - Now: I work as a researcher. I mainly focus on 3D perception and spatial AI for robotics.  

• Dec. 2023 - Dec. 2024: I am working as a Research Fellow at the Robotics Institute, University of Technology Sydney. Collaborating with Prof. Shoudong Huang, I am doing research on visual SLAM for surgical environments. 

• Dec. 2021 - Dec. 2023: I worked as a Research Fellow in the School of Computing, College of Engineering and Computer Science, Australian National University. Collaborating with Prof. Hongdong Li, I am doing research for the Australian Research Council (ARC) Discovery Project "3D computer vision for camera-based precise geo-localization". 

• Aug. 2021 - Nov. 2021: I worked as a part-time Research Engineer in the School of Mechanical and Mechatronic Engineering, University of Technology Sydney. Collaborating with Prof. Shoudong Huang and Dr. Liang Zhao, I did the research for the ARC Discovery Project "Visual Simultaneous Localization and Mapping in Deformable Environments".

• May 2018 - Nov. 2019: I worked as a part-time Research Assistant in the UTS: RI. Collaborating with Prof. Shoudong Huang and Dr. Liang Zhao, I contributed to the industrial project "Development of Precision Localisation Technology for a Mobile Platform Operating in Industrial Environment".

Education:

• Aug. 2017 - Dec. 2021: I studied for my Ph.D. in Robotics at the University of Technology Sydney, supervised by Prof. Shoudong Huang and Dr. Liang Zhao. 

• Sep. 2014 - Jan. 2017: I studied for my Master in Applied Statistics at Northeastern University (China).

• Sep. 2010 - Jun. 2014: I studied for my Bachelor in Mathematics and Applied Mathematics at Northeastern University (China).

Research Interests:

• Deep learning for localization and 3D reconstruction

• Simultaneous localization and mapping (SLAM) in deformable environment.

• Medical imaging and deep learning.

Professional Activities:

Associate Editor

• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

Reviewer

• Conference on Computer Vision and Pattern Recognition (CVPR), 2024

• European Conference on Computer Vision (ECCV), 2024

• The Conference on Robot Learning (CoRL), since 2023

• IEEE Transactions on Robotics, since 2023.

• IEEE Transactions on Mechatronics, 2023.

• Medical Physics, 2023.

• IEEE Robotics and Automation Letters, since 2022.

• IEEE International Conference on Robotics and Automation (ICRA), since 2020.

• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), since 2020.

Project

• 2018-2019: Development of Precision Localisation Technology for a Mobile Platform Operating in Industrial Environment. (Industrial project).

• 2020-2021: Visual Simultaneous Localisation and Mapping in Deformable Environments. (ARC Discovery Project).

• 2021-Now: 3D computer vision for camera-based precise geo-localization (ARC Discovery Project)

Teaching

• Tutor for UTS 49274 Advanced Robotics Spring (49274-2018-SPRING-CITY) (2018).

• Tutor and project developer for 2021 IEEE RAS Winter School on SLAM in Deformable Environments (2021).

News:

• Jan. 2025: I will work as an Embodied AI researcher on 3D perception and spatial AI for robotics.

• Sep. 2024: Our paper R2-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction was accepted by NeurIPS 2024 [CORE2023 A*]

• Jan. 2024: Our paper Increasing SLAM Pose Accuracy by Ground-to-Satellite Image Registration was accepted by ICRA 2024 [CORE2023 A*]

• Dec. 2023: I joined the Robotics Institute, University of Technology Sydney

• Jul. 2023: Our paper View Consistent Purification for Accurate Cross-View Localization was accepted by ICCV 2023 [CORE2021 A*]

• Jul. 2023: Our paper Homography Guided Temporal Fusion for Road Line and Marking Segmentation was accepted by ICCV 2023 [CORE2021 A*]

• Apr. 2023: Our paper Structure-to-Shape Aortic 3D Deformation Reconstruction for Endovascular Interventions was accepted by IEEE Transactions on Robotics. [CORE2020 A*  ERA2010 A*]

• Mar 2023: I am invited to serve as the reviewer for IEEE Transactions on Robotics

• Jan 2023: Our paper Satellite Image Based Cross-view Localization for Autonomous Vehicle was accepted by ICRA 2023 [CORE2021 B]

• Jan 2023: Our paper 3D Reconstruction of Tibia and Fibula using One General Model and Two X-ray Images was accepted by ICRA 2023 [CORE2021 B]

• May 2022: Our paper NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction was provisionally accepted by MICCAI 2022. (Top 13% to receive a provisional accept recommendation for MICCAI 2022). [CORE2021 A]

• Dec. 2021: I joined the School of Computing, ANU College of Engineering and Computer Science.

• Dec. 2021: I submitted the final version of my thesis to UTS. 

• Mar. 2021: Our paper Some Research Questions for SLAM in Deformable Environments was accepted by IROS 2021. [CORE2021 B]

• Jul. 2021: I contributed to the origination of the international winter school "IEEE RAS Winter School on SLAM in Deformable Environments". I served as the tutor, developer, and supervisor of a group project, and the coordinator and host of the Social Networking section. 

• Apr. 2021: Our paper Anchor selection for SLAM based on graph topology and sub-modular optimization was accepted by IEEE Transactions on Robotics.

• Jul. 2020: Our paper Dense Isometric Non-Rigid Shape-From-Motion Based on Graph Optimization and Edge Selection was accepted by IEEE Robotics and Automation Letters with the IROS option. [CORE2020 A]

• Jun. 2020: Our paper Deep Learning Assisted Automatic Intra-operative 3D Aortic Deformation Reconstruction was accepted by MICCAI 2020. [CORE2020 A]

• Jan. 2020: Our paper Aortic 3D deformation reconstruction using 2D x-ray fluoroscopy and 3D pre-operative data for endovascular interventions was accepted by ICRA 2020. [CORE2020 B]

• Feb. 2018: Our paper Comparison of EKF based SLAM and Optimization based SLAM Algorithms was accepted by ICIEA 2018.