Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation. - Shu Yang 004; Lu Zhang 053; Jinqing Qi; Huchuan Lu; Shuo Wang; Xiaoxing Zhang (ICCV, 2021)

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition. - Shu Yang 004; Luyang Luo; Qiong Wang 001; Hao Chen 011 (MICCAI (6), 2024)

MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology. - Shu Yang 004; Yihui Wang 002; Hao Chen 011 (MICCAI (4), 2024)

A Survey on Vision Mamba: Models, Applications and Challenges. - Rui Xu 031; Shu Yang 004; Yihui Wang 002; Bo Du 001; Hao Chen 011 (CoRR, 2024)

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model. - Yingxue Xu; Yihui Wang 002; Fengtao Zhou; Jiabo Ma; Shu Yang 004; Huangjing Lin; Xin Wang; Jiguang Wang; Li Liang; Anjia Han; Ronald Cheong Kin Chan; Hao Chen 011 (CoRR, 2024)

SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition. - Shu Yang 004; Zhiyuan Cai; Luyang Luo; Ning Ma; Shuchang Xu; Hao Chen 011 (CoRR, 2024)

Deformable Dynamic Sampling and Dynamic Predictable Mask Mining for Image Inpainting. - Cai Cai; Yu Zeng 001; Shu Yang 004; Xu Jia 012; Huchuan Lu; You He (IEEE Trans. Neural Networks Learn. Syst., 2024)

ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-training. - Yuxiang Nie; Sunan He; Yequan Bie; Yihui Wang 002; Zhixuan Chen; Shu Yang 004; Hao Chen 011 (CoRR, 2025)

Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network. - Shu Yang 004; Lu Zhang 053; Shuai Liu; Huchuan Lu; Hao Chen 011 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. - Tobias Rueckert; David Rauber; Raphaela Maerkl; Leonard Klausmann; Suemeyye R. Yildiran; Max Gutbrod; Danilo Weber Nunes; Alvaro Fernandez Moreno; Imanol Luengo; Danail Stoyanov; Nicolas Toussaint; Enki Cho; et al. (CoRR, 2025)