- Multiple papers accepted at EMNLP 2025, ICCV 2025, ICML Workshop 2025, etc.
- Third place in ICCV VQualA Workshop 2025
- Passed the qualifying exam
Research Experience
- Internships: Adobe (starting from 2025.05), Bosch (starting from 2024.05)
- Publications: Multiple papers accepted at ICCV 2025, NeurlPS 2025 D&B, CVPRW 2025, etc.
Education
- Ph.D. Student, Department of Computer Science and Engineering, Michigan State University (2023-), supervised by Prof. Yu Kong
- Master's degree, VIPL group, Institute of Computing Technology, Chinese Academy of Sciences (2020-2023), supervised by Prof. Hu Han, closely collaborated with Prof. Shiguang Shan
- Bachelor's degree, Northeastern University (2016-2020), supervised by Prof. Long Cheng
Background
Research interests include computer vision (CV) and deep learning (DL). The ultimate goal is to design the visual system for robots so that they can understand the visual world and collaborate with humans. Current research interests are visual large language models (VLLMs), efficient visual foundation models (VFMs), and embodied question answering (EQA).
Miscellany
Personal interests: Excited to witness and participate in the revolution of artificial intelligence, open for collaboration