Yingtie Lei
Hi, I’m Yingtie Lei, a master’s student in Computer Science and Engineering at The Ohio State University. At OSU, I work with Prof. Wei-Lun (Harry) Chao and Prof. Mi Zhang. I also collaborate with Prof. Chi-Man Pun and Dr. Xuhang Chen at the University of Macau. Before joining OSU, I earned my B.E. in Intelligent Science and Technology from South China University of Technology.
Publications
* denotes equal contribution.
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QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models
CVPR, 2026
@inproceedings{zhang2026quantvla, title = {QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models}, author = {Zhang, Jingxuan and Hsieh, Yunta and Wan, Zhongwei and Lin, Haokun and Wang, Xin and Wang, Ziqi and Lei, Yingtie and Zhang, Mi}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages = {39539--39549}, year = {2026}, } -
FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation
BIBM, 2025
@inproceedings{lei2025fsrwkv, title = {FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation}, author = {Lei, Yingtie and Li, Zimeng and Pun, Chi-Man and Liu, Yupeng and Chen, Xuhang}, booktitle = {2025 IEEE International Conference on Bioinformatics and Biomedicine}, pages = {1--6}, year = {2025}, } -
CMAMRNet: A Contextual Mask-Aware Network Enhancing Mural Restoration Through Comprehensive Mask Guidance
BMVC, 2025
@inproceedings{lei2025cmamrnet, title = {CMAMRNet: A Contextual Mask-Aware Network Enhancing Mural Restoration Through Comprehensive Mask Guidance}, author = {Lei, Yingtie and Yi, Fanghai and Dong, Yihang and Liu, Weihuang and Zhang, Xiaofeng and Li, Zimeng and Pun, Chi-Man and Chen, Xuhang}, booktitle = {36th British Machine Vision Conference}, year = {2025}, } -
High-Fidelity Document Stain Removal via a Large-Scale Real-World Dataset and a Memory-Augmented Transformer
WACV, 2025
@inproceedings{li2025stainrestorer, title = {High-Fidelity Document Stain Removal via a Large-Scale Real-World Dataset and a Memory-Augmented Transformer}, author = {Li, Mingxian and Sun, Hao and Lei, Yingtie and Zhang, Xiaofeng and Dong, Yihang and Zhou, Yilin and Li, Zimeng and Chen, Xuhang}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision}, pages = {7603--7613}, year = {2025}, }
Preprints
* denotes equal contribution.
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Probing Identity-Specific Motion Signatures: A Controlled Diagnostic Study
arXiv preprint arXiv:2607.03633 , 2026
@misc{lei2026probingidentityspecificmotionsignatures, title = {Probing Identity-Specific Motion Signatures: A Controlled Diagnostic Study}, author = {Lei, Yingtie and Liu, Fangxun and Wu, Baicheng and Lee, Colin and Zhang, Ziheng and Yang, Junke and Tao, Zhiyuan and Huang, Xuyan and Wang, Shuheng and Koran, William and Park, Kyle and Buckwalter, Elijah H and Chiang, Cheng-Hsuan and Naik, Tejas and Yi, Daniel and Chao, Wei-Lun}, year = {2026}, eprint = {2607.03633}, archiveprefix = {arXiv}, primaryclass = {cs.CV}, url = {https://arxiv.org/abs/2607.03633}, } -
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
arXiv preprint arXiv:2605.24117 , 2026
@misc{lei2026skillevolbenchbenchmarkingevolutionepisodic, title = {SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills}, author = {Lei, Yingtie and Wan, Zhongwei and Zhang, Jiankun and Alam, Samiul and Zhong, Zixuan and Huang, Peizhou and Wang, Xin and Zhang, Jingxuan and Zhou, Donghao and Hsieh, Yunta and Dou, Zhihao and Shen, Hui and Xu, Yan and Dimitriadis, Dimitrios and Zhang, Tuo and Zhang, Mi}, year = {2026}, eprint = {2605.24117}, archiveprefix = {arXiv}, primaryclass = {cs.AI}, url = {https://arxiv.org/abs/2605.24117}, }