GomokuNet: A Novel UNet-style Network for Gomoku Zero Learning via Exploiting Positional Information and Multiscale Features. - Yifan Gao 004; Lezhou Wu; Haoyue Li (CoG, 2021)

PGD: A Large-scale Professional Go Dataset for Data-driven Analytics. - Yifan Gao 004 (CoG, 2022)

DeSAM: Decoupling Segment Anything Model for Generalizable Medical Image Segmentation. - Yifan Gao 004; Wei Xia 008; Dingdu Hu; Xin Gao 003 (CoRR, 2023)

An anatomy-aware framework for automatic segmentation of parotid tumor from multimodal MRI. - Yifan Gao 004; Yin Dai; Fayu Liu; Weibing Chen; Lifu Shi (Comput. Biol. Medicine, 2023)

The Professional Go Annotation Dataset. - Yifan Gao 004; Danni Zhang; Haoyue Li (IEEE Trans. Games, 2023)

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation. - Yifan Gao 004; Wei Xia 008; Dingdu Hu; Wenkui Wang; Xin Gao 003 (MICCAI (12), 2024)

Prior-driven refinement network for small organ-at-risk segmentation in head and neck cancer. - Taibao Wang; Yifan Gao 004; Bingyu Liang; Qin Wang (Eng. Appl. Artif. Intell., 2025)

ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation. - Feng Yuan; Yifan Gao 004; Wenbin Wu; Keqing Wu; Xiaotong Guo; Jie Jiang; Xin Gao 003 (CoRR, 2025)

ACDA: Anatomically constrained distribution alignment for robust medical image segmentation. - Yifan Gao 004; Xiaosong Wang 001; Xin Gao 003 (Knowl. Based Syst., 2026)

CIA-net: Cross-modality interaction and aggregation network for ovarian tumor segmentation from multi-modal MRI. - Yifan Gao 004; Yong'ai Li; Xin Gao 003 (Medical Image Anal., 2026)