Ph.D., Heriot-Watt University, UK

MSc in Vision and Robotics, Heriot-Watt University, UK

BSc in Electronic and Information Engineering. Shantou University, China

Dr. Ziyang Hong is a Research Assistant Professor of the Chinese University of Hong Kong, Shenzhen. He received his Ph.D. degree with a focus on localization and mapping for mobile robots at Heriot-Watt University in 2023. Prior to that, he obtained his B.S. degree in Electronic and Information Engineering from Shantou University in 2016, and his M.S. degree in Vision and Robotics from Heriot-Watt University in 2018. He also worked as a research assistant in the EU H2020 Marine Robotics Project during his PhD, and a research intern at INRIA, France in 2015.

Dr. Hong’s current research interests include underwater robotics, perception and localization in adverse weather conditions for autonomous robots and robot learning. His work has been published in top journals such as The International Journal of Robotics Research and Robotics and Automation Letters, as well as top conferences such as ICRA, RSS and IROS.

1. Ziyang Hong, Yvan Petillot, Sen Wang, “Radarslam: Radar based large-scale slam in all weathers”
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.

2. Ziyang Hong, Yvan Petillot, Andrew Wallace, Sen Wang, “RadarSLAM: A robust simultaneous localization and mapping system for all weather conditions”, The International Journal of Robotics Research, 2022.

3. Ziyang Hong, Yvan Petillot, Kaicheng Zhang, Shida Xu, Sen Wang, “Large-Scale Radar Localization using Online Public Maps”, International Conference on Robotics and Automation (ICRA), 2023.

4. Can Dong*, Ziyang Hong* (equal contribution), Siru Li, Liang Hu, Huijun Gao. “Augmenting Vision with Radar for All-weather Geo-localization without a Prior HD Map” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.

5. Kaicheng Zhang, Ziyang Hong, Shida Xu, Sen Wang, “CURL: Continuous, Ultra-compact Representation for LiDAR”, Robotics: Science and Systems, 2022.

6. Shida Xu, Jonatan Scharff Willners, Ziyang Hong, Kaicheng Zhang, Yvan Petillot, Sen Wang, “Observability-Aware Active Extrinsic Calibration of Multiple Sensors”, IEEE International Conference on Robotics and Automation (ICRA), 2023.