I am currently a fifth-year Ph.D. student at the College of Computer Science and Engineering, Nanjing University of Science and Technology, supervised by Prof. Jian Yang. I am also co-supervised by Xiang Li from Nankai University.

My research interests include multimodal perception, prompt engineering, and image editing. I have published 5+ papers at top international AI conferences and journals such as TPAMI, CVPR, and NeurIPS.

I will graduate in the summer of 2025 and am currently seeking postdoctoral positions.

🔥 News

• 2024.11: 🎉 One first-author paper has been accepted to TPAMI 2025.
• 2023.09: 🎉 One first-author paper has been accepted to NeurIPS 2023.
• 2022.09: 🎉 One first-author paper has been selected for an Spotlight!
• 2022.09: 🎉 One first-author paper has been accepted to NeurIPS 2022.
• 2022.03: 🎉 One first-author paper has been selected for an ORAL presentation!
• 2022.03: 🎉 One first-author paper has been accepted to CVPR 2022.

📝 Publications

TPAMI 2025

TPAMI 2025 Fine-Grained Visual Text Prompting
Lingfeng Yang, Xiang Li, Yueze Wang, Xinlong Wang, Jian Yang

Paper | Code

• Propose joint visual and textual prompt engineering to enhance multi-modal alignment.

NeurIPS 2023

NeurIPS 2023 Fine-Grained Visual Prompting
Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang

Paper | Code | 中文解读 | 中文视频

• Propose fine-grained visual prompt engineering to enhance CLIP’s localization accuracy.

NeurIPS 2022 Spotlight

NeurIPS 2022 RecursiveMix: Mixed Learning with History (Spotlight, Top 12.8%)
Lingfeng Yang, Xiang Li, Borui Zhao, Renjie Song, Jian Yang

Paper | Code

• Propose a simple yet effective mixed-data augmentation technique for image classification.
• Enhance model pretraining performance for object detection and semantic segmentation tasks.

CVPR 2022 Oral

CVPR 2022 Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information (Oral, Top 3.3%)
Lingfeng Yang, Xiang Li, Renjie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang

Paper | Code

• Proposed a dynamic MLP fusion framework for fine-grained image classification by incorporating geo-temporal information.
• Improved classification accuracy on multiple fine-grained datasets.

🎖 Honors and Awards

• 2025.06 Outstanding Graduate (Top 1%)
• 2025.03 Dean’s Medal (Top 1%)
• 2024.12 National Scholarship (Top 5%)

Competition

• 2022.10 First Prize (Team), 5th Open Source Innovation Competition
• 2022.07 1st Place, 2nd Jittor AI Challenge (1st out of 414 teams, ¥50,000 prize)
• 2022.06 2nd Place, SnakeCLEF 2022 (CVPR 2022 Workshop)
• 2021.06 3rd Place, iNaturalist Challenge 2021 (CVPR 2021 Workshop)
• 2020.11 2nd Place, 1st ZhengTu Cup Campus Machine Vision AI Competition (2nd out of 943 teams, ¥150,000 prize)

📖 Educations

• 2020.09 - present, Phd student, College of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
• 2016.09 - 2020.06, Undergraduate, College of Science, Nanjing University of Science and Technology, Nanjing, China.

💻 Internships

• 2024.04 - present, Insta360 (Shenzhen Arashi Vision Co., Ltd.), Shenzhen, China.
• 2023.09 - 2024.04, Visual Technology Department, Baidu, Beijing, China.
• 2022.09 - 2023.08, Beijing Academy of Artificial Intelligence (BAAI), Beijing, China.
• 2021.01 - 2022.08, MEGVII Research Institute, Nanjing, China.

💬 Services

Reviewers

• Outstanding Reviewer of CVPR 2025
• TPAMI, NeurIPS, CVPR, ICCV, ECCV