My name is Xi Wang (王溪). I am a Ph.D. candidate in Operational Research and Cybernetic, at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, under the supervision of Professor Yiguang Hong. Prior to this, I obtained Bachelor’s degree in Mathematics and Applied Mathematics from the University of Chinese Academy of Sciences in 2018. I am now a visiting student at the Australian Centre for Field Robotics, University of Sydney, under the supervision of Associate Professor Guodong Shi.

Research Insterest

My research interests primarily focus on fundamental Riemannian online optimization and learning algorithms. Riemannian optimization and learning approaches utilize the inherent geometric properties of Riemannian manifolds to develop algorithms that address the challenges posed by non-Euclidean data, which has fruitful applications in machine learning, computer vision, and bioinformatics.

In my future research, I am dedicated to further exploring optimization, game theory, and learning theory on geodesically curved spaces. Additionally, By leveraging the Riemannian theories, I aspire to design Riemannian approach for machine learning, robotics, and bio-medical data analysis.