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Hello, welcome to my personal webpage!
I’m Xuanhao Cao (曹轩豪), a master’s student of Machine Learning at the University of Tübingen.
My research interest includes Generative AI (diffusion model, LLM), Multimodal Learning, and Autonomous Driving. And I’m also very enthusiastic about the latest advancements in AI!
I am currently seeking a job / PhD opportunity starting in the winter of 2024. If you know of any available opportunities, feel free to reach out to me :)

My Resume (English version) (Chinese version)

EDUCATION

University of Tuebingen， 2021.10 - Present (probably 2024.07)
Machine Learning | Master | Department of Computer Science

My transcript

Beihang University， 2017.09 - 2021.06
Information System and Information Management | Bachelor

Beihang University， 2018.09 - 2021.06
Applied Math | Dual Bachelor degree

RESEARCH EXPERIENCE

AI Camera Perception Intern， 2023.10 - 2023.12

CARIAD, Volkswagen Group.

Autonomous Vision Seminar， 2023.04 - 2023.07

University of Tübingen, Prof. Andreas Geiger

End-to-end motion prediction for autonomous driving (joint perception and prediction). For my report on this topic, see here.

Large-scale Generative Models Seminar, 2023.05 - 2023.07

Bosch Industry-on-Campus Lab (Dan Zhang and Anna Khoreva)

Diffusion model + Prompt-to-Prompt Image editing (control image generation by manipulating attention map, and control attention map by prompt editing).

Research Intern / Research Project， 2022.04 - 2023.05

University of Tuebingen, Prof. Zeynep Akata

Explanability for deep learning model (CNNs and Transformer).
Token feature alignment in Transformer.
Multi-modal learning: Closing the Modality gap in CLIP’s embedding space.

Research Assistant， 2020.09 - 2021.05

Beihang University, Lecturer Hao Peng’s group

Federated Learning, Reinforcement Learning, and Graph Neural Network: paper reading, assistance with experiments.