Biography
I’m a senior undergraduate student currently pursuing a B.S. (Honours) in Computer Science and Technology at Beijing Normal - Hong Kong Baptist University(BNBU). I supervised by Prof. Weifeng Su, the Department Head of Department of Computer Science. And I work closely with Prof. Zhe Xuanyuan, the Acting Dean and Associate Dean for Research and Development, Faculty of Science and Technology.
previously, I held research intern positions at the Institute for AI Industry Research (AIR), Tsinghua University, advised by Prof. Yilun Chen, and at the MMLab@SIAT-CAS (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences), advised by Prof. Chao Dong. In the summer of 2023, I was a visiting student at the University of Oxford, advised by Prof. Tom Rainforth.
Research Interest
- Embodied AI: end-to-end autonomous driving and robotics navigation.
- Video Generation: human image animation.
- Low-level Computer Vision: multi-modality image fusion.
Education
Research Experience
- AIR, Tsinghua University, Institute of AI Industry Research, Dec 2024 - present
- SIAT MMLab, Chinese Academy of Sciences, Multimedia Laboratory at Shenzhen Institutes of Advanced Technology, Jan 2024 - Jan 2025
- IRADS Lab, BNBU, Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Mar 2024 - Sep 2024
- University of Oxford, Oxford International Study Abroad Programme, Jul 2023 - Aug 2023
Academic Services
- Conference Reviewer in AAAI 2025, ICME 2025.
Teaching
- Teaching Assistant in Computer Vision (AI3143), 2024
- Teaching Assistant in Kayaking (UCHL1183), 2022
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ArXiv
Yuchen Guo and Weifeng Su
ArXiv
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ICME 2025
Yuchen Guo, Ruoxiang Xu, Rongcheng Li and Weifeng Su
IEEE International Conference on Multimedia & Expo (ICME) 2025
Projects
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Software
Guo, Yuchen
The software is used to reduce the likelihood of students relying on LLM to complete assignments by designing assignment questions that cannot be answered through superficial understanding alone; and help students learn course material and better understand course content by using LLM to generate more explanations and examples for course topics.
Contact
Email: eurekaarrow (at) gmail.com or r130026037 (at) mail.uic.edu.hk