Yanhao Zhang (张严皓)
Seeking AI/ML research scientist role in 3D vision, robotics, or medical imaging.
Biography
I just finished a wonderful two-year postdoc at Prof. Hongdong Li's group investigating visual localization for autonomous driving. I am now joining Prof. Shoudong Huang's group working on visual SLAM for surgical environment.
My research interests include 3D reconstruction, SLAM, deformation reconstruction, and deep learning.
My email: yanhao.zhang@anu.edu.au, yanhaozhang1991@gmail.com, GoogleScholar, Github, LinkedIn. Please feel free to contact me.
Working Experience
Dec. 2023 - Now: 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:
Reviewer
European Conference on Computer Vision (ECCV), 2024
IEEE Transactions on Robotics, 2023.
IEEE Transactions on Mechatronics, 2023.
Medical Physics, 2023.
IEEE Robotics and Automation Letters, since 2022.
The Conference on Robot Learning (CoRL), 2023
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. 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.