Scholar
Yongxian Wei
Google Scholar ID: kNMeyocAAAAJ
Tsinghua University
Citations & Impact
Citations
66
H-index
6
i10-index
3
Publications
11
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including those presented at ICML 2025, ICLR 2025 (Oral), IEEE TPAMI, CVPR 2025, ICML 2024, IEEE TCSVT, and NeurIPS 2025 (Spotlight). Awards: National Scholarship for Graduate Students (twice), Oct 2025, Oct 2024; Undergraduate President’s Medal (Top 10 university-wide), Oct 2022; National Scholarship for Undergraduate Students, Oct 2021; The First Runner-Up (2/116) of ICCV LargeFineFoodAI, Oct 2021.
Research Experience
- Conducts research in the Tsinghua CVML Group, covering various aspects of data-free learning including model merging directly in parameter space, model inversion based on discriminative models, and synthetic data based on generative models.
Education
- PhD: Tsinghua University, 2023 - Present; Undergraduate: Nanjing University of Science and Technology.
Background
- Research Interests: Efficient machine learning, particularly data-free learning. Professional Field: Computer Vision and Machine Learning. Brief Introduction: Yongxian Wei is a third-year PhD student at Tsinghua University, advised by Prof. Chun Yuan and Li Shen. His research mainly focuses on data-free learning, which is a method of learning from models instead of data, addressing issues related to data accessibility and privacy while reducing the computational burden of pretraining.
Miscellany
- Personal interests and hobbies not explicitly mentioned.
