| 2025 | CVPR | AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer. | Jin Lyu, Tianyi Zhu, Yi Gu, Li Lin, Pujin Cheng, Yebin Liu, Xiaoying Tang, Liang An |
| 2025 | MICCAI | BEAM: Boosting Fundus Image Enhancement via Adapted Text-to-Image Models. | Ziheng Wang, Pujin Cheng, Xiaoying Tang |
| 2024 | MICCAI | Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification. | Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang |
| 2023 | ICCV | PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. | Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang |
| 2022 | MICCAI | DS | Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang |
| 2022 | MICCAI | Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation. | Linkai Peng, Li Lin, Pujin Cheng, Huaqing He, Xiaoying Tang |
| 2021 | MICCAI | I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining. | Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang |
| 2021 | MICCAI | Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. | Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang |
| 2021 | MICCAI | BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. | Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang |
| 2021 | MICCAI | FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images. | Linkai Peng, Li Lin, Pujin Cheng, Zhonghua Wang, Xiaoying Tang |
| 2019 | MICCAI | Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network. | Junyan Lyu, Pujin Cheng, Xiaoying Tang |