Ziliang Xiong

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.

I am an academic PhD student at Computer Vision Laboratory.

Research Activities

My PhD project is part of Situation Aware Perception for Safe Autonomous Robotics Systems is funded by Swedish national strategic research environment ELLIIT (grant C08).

I am affiliated with the Wallenberg AI, Autonomous Systems and Software Program.

Teaching

I am a teaching assistant and a project supervisor in several courses such as ”TSBB19 Machine Learning for Computer Vision”, ”TSBB18 Embeded Perception System”, and ”TSDT18 Signal and System”.

I am also a supervisor for both internal and external master theses.

Quick Facts: Ziliang Xiong

CV

2022-: PhD in Electrical Engineering with specialization in Computer Vision, Linköping University, Linköping, Sweden.
2020-2022: Master of Sience in Machine Learing, Lund University, Lund, Sweden.
2015-2019: Bachelor's in Automation Sience and Technology, Beihang University, Beijing, China

Social Media

ORCID: https://orcid.org/0009-0008-8277-7476
LinkedIn: https://www.linkedin.com/in/xzleo
GitHub: https://github.com/XZLeo

Publications

Ziliang Xiong, Shipeng Liu, Nathaniel Helgesen, Joakim Johnander, Per-Erik Forssen, CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving (2025) https://arxiv.org/abs/2503.07425

Shipeng Liu, Ziliang Xiong, Bastian Wandt, Per-Erik Forssén, Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation (2025) https://arxiv.org/abs/2505.02287

Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén, Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3471-3480, IEEE (2024) https://doi.org/10.1109/cvprw63382.2024.00351

Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forssén, Volker Kruger, Uncertainty quantification metrics for deep regression, Pattern Recognition Letters 186:91-97 (2024) https://doi.org/10.1016/j.patrec.2024.09.011 https://arxiv.org/abs/2405.04278

Zihan Wang, Ziliang Xiong, Hongying Tang, Xiaobing Yuan, Detail-Enhancing Framework for Reference-Based Image Super-Resolution (2024) https://arxiv.org/abs/2405.00431

Research

Research Activities

My PhD project is part of Situation Aware Perception for Safe Autonomous Robotics Systems is funded by Swedish national strategic research environment ELLIIT (grant C08).

I am affiliated with the Wallenberg AI, Autonomous Systems and Software Program.

ELLIIT

ELLIIT is a network organization for Information and Communication Technology (ICT) research at Linköping, Lund, Halmstad and Blekinge. The objective is scientific excellence in combination with industrial relevance and impact.

WASP at Department of Electrical Engineering (ISY)

WASP Computer Vision Laboratory, WASP Sensor fusion, WASP Vehicular Systems and WASP Optimization for Learning and Autonomy are located at the Department of Electrical Engineering (ISY) on Campus Valla in Linköping.

WASP - Wallenberg Autonomy and Software Program

LiU is home to WASP – Sweden’s largest ever individual research program. The research is financed by the Knut and Alice Wallenberg Foundation, and focusses on autonomous systems and software development.

Ziliang Xiong

I am an academic PhD student at Computer Vision Laboratory.

Research Activities

Teaching

Quick Facts: Ziliang Xiong

CV

Social Media

Publications

Research

Research Activities

ELLIIT

WASP at Department of Electrical Engineering (ISY)

WASP - Wallenberg Autonomy and Software Program

Co-workers CVL

Organisation

Computer Vision Laboratory (CVL)

Department of Electrical Engineering (ISY)

Tags

Share on