Yingtie Lei
M.S. Student, Department of Computer Science and Engineering, The Ohio State University
I am an M.S. student in CSE at
The Ohio State University
.
I work with Prof.
Wei-Lun (Harry) Chao
and Prof. Mi Zhang. I am also a remote intern at
University of Macau
,
where I collaborate with Prof. Chi-Man Pun
and Dr. Xuhang Chen.
My research interests include low-level vision and explainability in computer vision, with a broader focus on building more transparent and reliable visual learning systems. Recently, I have also been exploring how agentic systems can be integrated with a range of deep learning tasks.
Education
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M.S. in Computer Science and Engineering, The Ohio State University
-
B.E. in Intelligent Science and Technology, South China University of Technology
Selected Publications
* indicates equal contribution.
2026
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QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
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ProMist-5K: A Comprehensive Dataset for Digital Emulation of Cinematic Pro-Mist Filter Effects
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026.
2025
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FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025.
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CMAMRNet: A Contextual Mask-Aware Network Enhancing Mural Restoration Through Comprehensive Mask Guidance
The 36th British Machine Vision Conference (BMVC), 2025.
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High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.