| 2025 | AAAI | Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video. | Shijie Li, Weijun Lin, Qingyuan Xiang, Yunbin Tu, Shitan Asu, Zheng Li |
| 2025 | AAAI | Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning. | Yunbin Tu, Liang Li, Li Su, Qingming Huang |
| 2025 | ACL | Change Entity-guided Heterogeneous Representation Disentangling for Change Captioning. | Yi Li, Yunbin Tu, Liang Li, Li Su, Qingming Huang |
| 2024 | ACL | Context-aware Difference Distilling for Multi-change Captioning. | Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang |
| 2024 | ECAI | Dual Attention Encoder with Joint Preservation for Medical Image Segmentation. | Shijie Li, Yunbin Tu, Yu Gong, Bowen Zhong, Zheng Li |
| 2024 | ECCV | Distractors-Immune Representation Learning with Cross-Modal Contrastive Regularization for Change Captioning. | Yunbin Tu, Liang Li, Li Su, Chenggang Yan, Qingming Huang |
| 2023 | ICCV | Self-supervised Cross-view Representation Reconstruction for Change Captioning. | Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang |
| 2021 | ACL | Semantic Relation-aware Difference Representation Learning for Change Captioning. | Yunbin Tu, Tingting Yao, Liang Li, Jiedong Lou, Shengxiang Gao, Zhengtao Yu, Chenggang Yan |
| 2021 | EMNLP | R\^3Net: Relation-embedded Representation Reconstruction Network for Change Captioning. | Yunbin Tu, Liang Li, Chenggang Yan, Shengxiang Gao, Zhengtao Yu |