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Ziliang Xiong is a PhD student at Linköping University in the Department of Electrical Engineering, specializing in Computer Vision. He is passionate about Artificial Intelligence and focuses on Uncertainty Quantification in neural networks, which is crucial for developing reliable and trustworthy AI systems. Ziliang holds a Master of Science in Machine Learning from Lund University and a Bachelor's degree in Automation Science and Technology from Beihang University in China. He has contributed to various publications in the field, addressing advanced topics such as loss-based collision prediction in autonomous driving and uncertainty-aware human pose estimation. As a teaching assistant, he supervises projects and master theses related to machine learning and computer vision. Ziliang's research aims to enhance the predictability and safety of AI applications, and he actively participates in academic conferences to further his expertise in these areas.
Linköping University • Linköping, Sweden
Conducting research in uncertainty quantification and computer vision, and supervising master theses.
Linköping University • Linköping, Sweden
Assisting in courses like Machine Learning and Computer Vision, as well as supervising students.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.