PhD student
Passionate about AI in general and Uncertainty Quantification in particular: enabling artificial neural networks to be aware of the uncertainty in their own predictions, a vital step towards safe and trust-worthy AI.
My PhD project is part of is funded by Swedish national strategic research environment ELLIIT (grant C08).
I am affiliated with the .
I am a teaching assistant and a project supervisor in several courses such as ” Machine Learning for Computer Vision”, ” Embeded Perception System”, and ” Signal and System”.
I am also a supervisor for both internal and external master theses.
Ziliang Xiong, Shipeng Liu, Nathaniel Helgesen, Joakim Johnander, Per-Erik Forssen, CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving (2025)
Shipeng Liu, Ziliang Xiong, Bastian Wandt, Per-Erik Forss茅n, Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation (2025)
Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forss茅n, , IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3471-3480, IEEE (2024)
Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forss茅n, Volker Kruger, , Pattern Recognition Letters 186:91-97 (2024)
Zihan Wang, Ziliang Xiong, Hongying Tang, Xiaobing Yuan, Detail-Enhancing Framework for Reference-Based Image Super-Resolution (2024)
My PhD project is part of is funded by Swedish national strategic research environment ELLIIT (grant C08).
I am affiliated with the .
