I received my Ph.D. degree at the School of Information and Electronics & School of Computer Science and Technology, Beijing Institute of Technology (BIT), supervised by Prof. Ying Fu. I received my M.S. degree from BIT in 2021 and my B.S. degree from China University of Geosciences (Beijing) in 2019.
My research interests primarily lie in computer vision and deep learning, including:
- Image Segmentation
- Object Detection
- Low-light Image Enhancement and Recognition
- Remote Sensing Image Processing
- Representation Learning for Transformers & CNNs
- Medical Large Language Models
You can find my full publication list on my Google Scholar profile.
I am open for collaborations in research, especially in the fields of Image Understanding, Representation Learning and Medical LLMs. Please don’t hesitate to get in touch if my research interests you.
I am actively seeking positions in both academia and industry, starting in the Fall of 2025.
🎓 Education
- 2021.09 - 2025.06,
Beijing Institute of Technology, Ph.D. in Electronic Information - 2019.09 - 2021.06, Beijing Institute of Technology, M.S. in Software Engineering
- 2014.09 - 2019.06,
China University of Geosciences (Beijing), B.S. in Mechanical Engineering
📝 Selected Publications
Frequency-Dynamic Attention Modulation for Dense Prediction
Linwei Chen, Lin Gu, Ying Fu*.
International Conference on Computer Vision (ICCV), 2025.
[PDF] [Code] [机器之心 Report] [BibTeX]
Frequency Dynamic Convolution for Dense Image Prediction
Linwei Chen, Lin Gu, Liang Li, Chenggang Yan, Ying Fu*.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[PDF] [Zhihu 知乎] [Code] [BibTeX]
Frequency-aware Feature Fusion for Dense Image Prediction
Linwei Chen, Ying Fu*, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (WOS citation, top 0.8%)
[PDF] [Zhihu 知乎] [Code] [BibTeX]
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Linwei Chen, Lin Gu, Ying Fu*.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Highlight, top 2.8%)
[PDF] [Zhihu 知乎] [Code] [BibTeX]
When Semantic Segmentation Meets Frequency Aliasing
Linwei Chen, Lin Gu, Ying Fu*.
International Conference on Learning Representations (ICLR), 2024.
[PDF] [Zhihu 知乎] [Code] [BibTeX]
Instance Segmentation in the Dark
Linwei Chen, Ying Fu*, Kaixuan Wei, Dezhi Zheng, Felix Heide.
International Journal of Computer Vision (IJCV), 2023.
[PDF] [Zhihu 知乎] [Code & Dataset] [BibTeX]
🏅 Awards and Honors
- 2024 China National Scholarship for Doctoral Students, Ministry of Education of the People’s Republic of China
- 2024 CVPR 2024 PBDL International Challenge, Low-Light Track: 2nd Place (Segmentation), 3rd Place (Detection)
- 2024 BMVC 2024 Outstanding Reviewer
- 2022 Beijing Institute of Technology Doctoral Special Scholarship
- 2021 Rocket Force “Intelligent Arrow - Fire Eye” AI Challenge, 7th Place Nationally (Excellence Award)
💬 Professional Service
Journal Reviewer
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Image Processing (TIP)
- International Journal of Computer Vision (IJCV)
- ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS)
- Pattern Recognition (PR)
Conference Reviewer
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2024, 2025
- IEEE/CVF International Conference on Computer Vision (ICCV) 2025
- European Conference on Computer Vision (ECCV) 2024
- AAAI Conference on Artificial Intelligence (AAAI) 2025, 2026
- Conference on Neural Information Processing Systems (NeurIPS) 2025, 2026
- British Machine Vision Conference (BMVC) 2023, 2024, 2025
- ACM Multimedia Conference (MM) 2025
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026
📜 Patents
- I have 5 pending national patents, with 3 granted.