Scholar
Zheren Fu
Google Scholar ID: r9krudIAAAAJ
University of Science and Technology of China
Citations & Impact
Citations
1,887
H-index
7
i10-index
7
Publications
13
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- First Author Publications: 'Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment', CVPR 2024; 'Learning Semantic Relationship among Instances for Image-Text Matching', CVPR 2023; 'Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning', T-MM 2022; 'Self-supervised Synthesis Ranking for Deep Metric Learning', T-CSVT 2021; 'Deep Metric Learning with Self-Supervised Ranking', AAAI 2021. Other Contributions: Qwen2.5-VL Technical Report, Arxiv 2025.02; Qwen3 Technical Report, Arxiv 2025.05; Qwen2.5 Technical Report, Arxiv 2024.12. Honors & Awards: USTC Outstanding Graduates (2025); National Scholarship for Postgraduate Students (2021); USTC Excellent Graduation Project (2020). Services: Program Committee Member: CVPR, ICCV, NeurIPS, AAAI, ACM-MM; Invited Reviewer: T-PAMI, T-MM, T-CSVT.
Research Experience
- 2024.5-2025.6: Alibaba Group, Qwen Team, Multi-modal Algorithm Engineer (internship), focusing on post-training for the Qwen-VL series; 2019.12-2020.10: Kuaishou Technology, Search Technology Department, Image Algorithm Engineer (internship), working on image retrieval with Prof. Lei Zhang; 2019.8-2020.1: University of Science and Technology of China, Teaching Assistant, responsible for Basic Circuit Theory for EECS undergraduate students.
Education
- 2020.9-2025.6: University of Science and Technology of China, Ph.D. in Cyberspace Security; 2016.9-2020.6: University of Science and Technology of China, Bachelor's Degree in Electronic Information Engineering, GPA: 3.81/4.3.
Background
- Research fields include Artificial Intelligence, Computer Vision, Natural Language Processing, Large Multi-modal Model, and Cross-modal Alignment. Currently studying in the National Engineering Laboratory for Brain-inspired Intelligence Technology and Application (NEL-BITA) and Laboratory for Future Networks (LFN), supervised by Professor Zhendong Mao.
