CV

PhD in Computer Science

Faculty of Science, Technology and Medicine, University of Luxembourg, Luxembourg

• Structural Inference for Dynamical Systems
• Network Science
• Graph Theory
• Supervised by Prof. Jun Pang

Master of Science (MSc)

Karlsruhe Institute of Technology, Germany

• Cognitive Systems
• Autonomous Driving

Bachelor of Engineering (BEng)

Tongji University, China

• Mechanics and Dynamics
• Vehicle Engineering
• Graduated with Honors

Graduate Assistant for Autonomous Driving

Karlsruhe Institute of Technology, Germany

• Engineered an innovative visual localization technique using Graph Neural Networks and OpenCV to enhance the precision of monocular camera-based navigation in autonomous vehicles.
• Successfully presented and published the outcomes of the visual localization research in a peer-reviewed conference.
• Investigated combinatorial approaches to hierarchical visual localization, broadening the scope of research and uncovering potential advancements in the domain.

Research Intern

Robert Bosch GmbH, Renningen, Germany

• Organized and delivered a tutorial on AUTOSAR for the research team, initiated communication with the director.
• Pioneered the development of a diagnosis system using an extended Kalman filter for an autonomous electric vehicle prototype’s electric propulsion system.
• Explored the integration of modern AI methods into self-driving cars for diagnostic purposes.

Structural Inference (AI4Science)

• Structure inference of dynamcial systems from observational trajectories.
• Dealing with real-world challenge such as data irregularity and incomplete observations.
• Created StructInfer, a pioneering open benchmark for evaluating structural inference methods across disciplines, ensuring objectivity and reproducibility.
• Published research at premier AI conferences including NeurIPS 2022, ICML 2023, and ICLR 2024, and contributed as a reviewer at leading AI venues.

AI4EDU

• Developed models for recommendation systems using spatio-temporal graphs, enhancing them with integrated database solutions.
• Innovated techniques for addressing missing data issues by leveraging spatio-temporal similarities.
• Launched the LLM4EDUKG benchmark, assessing the reasoning capabilities of pre-trained large language models on domain-specific knowledge graphs.

• ICML2023 Student Travel Grant

• NeurIPS2022 Student Travel Grant

• Bachelor Graduation with Honors