I am Yuan Yao, a third-year PhD Student in the Computer Science Department at University of Rochester, advised by Prof.
Jiebo Luo.
Before that, I received my honor B.S. degree from ACM honors class, Shanghai Jiao Tong University in 2022.
My research interests mainly focus on image/video generation and medical imaging.
Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation
Yuan Yao, Yicong Hong, Difan Liu, Mai Long, Jiebo Luo, Feng Liu
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, under review
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions
Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill
The European Conference on Computer Vision (ECCV), 2024
[paper]
[homepage]
Prompt Image to Life: Training-free Text-driven Image-to-video Generation
Jinxiu Liu, Yuan Yao, Bingwen Zhu, Fanyi Wang, Weijian Luo, Jingwen Su, Yanhao Zhang, Yuxiao Wang, Liyuan Ma, Qi Liu, Jiebo Luo, Guo-Jun Qi
[paper]
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging
Jingyuan Chen, Yuan Yao, Mie Anderson, Natalie Hauglund, Celia Kjaerby, Verena Untiet, Maiken Nedergaard, Jiebo Luo
IEEE International Conference on Digital Health (ICDH), 2023, Best Student Paper Award
[paper]
Beyond Object Recognition: A New Benchmark towards Object Concept Learning
Yonglu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Yuan Yao, Siqi Liu, Cewu Lu
International Conference on Computer Vision (ICCV), 2023
[paper]
[homepage]
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
Wei Zhu, Runtao Zhou, Yuan Yao , Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo
Medical Imaging with Deep Learning (MIDL), 2023
[paper]
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo, Wanli Ouyang, Xiaoshui Huang
ICME, 2024
[paper]
