| 2025 | ICCV | Denoising Token Prediction in Masked Autoregressive Models. | Ting Yao, Yehao Li, Yingwei Pan, Zhaofan Qiu, Tao Mei |
| 2025 | ICML | Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots. | Guangting Zheng, Yehao Li, Yingwei Pan, Jiajun Deng, Ting Yao, Yanyong Zhang, Tao Mei |
| 2024 | CVPR | Boosting Diffusion Models with Moving Average Sampling in Frequency Domain. | Yurui Qian, Qi Cai, Yingwei Pan, Yehao Li, Ting Yao, Qibin Sun, Tao Mei |
| 2024 | CVPR | SD-DiT: Unleashing the Power of Self-Supervised Discrimination in Diffusion Transformer | Rui Zhu, Yingwei Pan, Yehao Li, Ting Yao, Zhenglong Sun, Tao Mei, Chang Wen Chen |
| 2024 | ECCV | Improving Text-Guided Object Inpainting with Semantic Pre-inpainting. | Yifu Chen, Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Zhineng Chen, Tao Mei |
| 2024 | ECCV | Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning. | Jianjie Luo, Jingwen Chen, Yehao Li, Yingwei Pan, Jianlin Feng, Hongyang Chao, Ting Yao |
| 2024 | ECCV | Improving Virtual Try-On with Garment-Focused Diffusion Models. | Siqi Wan, Yehao Li, Jingwen Chen, Yingwei Pan, Ting Yao, Yang Cao, Tao Mei |
| 2023 | CVPR | Semantic-Conditional Diffusion Networks for Image Captioning. | Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei |
| 2023 | CVPR | HGNet: Learning Hierarchical Geometry from Points, Edges, and Surfaces. | Ting Yao, Yehao Li, Yingwei Pan, Tao Mei |
| 2022 | CVPR | Comprehending and Ordering Semantics for Image Captioning. | Yehao Li, Yingwei Pan, Ting Yao, Tao Mei |
| 2022 | ECCV | SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement. | Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei |
| 2022 | ECCV | Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning. | Ting Yao, Yingwei Pan, Yehao Li, Chong-Wah Ngo, Tao Mei |
| 2021 | AAAI | Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network. | Yehao Li, Yingwei Pan, Ting Yao, Jingwen Chen, Tao Mei |
| 2020 | CVPR | X-Linear Attention Networks for Image Captioning. | Yingwei Pan, Ting Yao, Yehao Li, Tao Mei |
| 2020 | CVPR | Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation. | Yingwei Pan, Ting Yao, Yehao Li, Chong-Wah Ngo, Tao Mei |
| 2019 | AAAI | Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. | Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei |
| 2019 | CVPR | Pointing Novel Objects in Image Captioning. | Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei |
| 2019 | CVPR | Transferrable Prototypical Networks for Unsupervised Domain Adaptation. | Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei |
| 2019 | ICCV | Hierarchy Parsing for Image Captioning. | Ting Yao, Yingwei Pan, Yehao Li, Tao Mei |
| 2018 | CVPR | Jointly Localizing and Describing Events for Dense Video Captioning. | Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei |
| 2018 | ECCV | Exploring Visual Relationship for Image Captioning. | Ting Yao, Yingwei Pan, Yehao Li, Tao Mei |
| 2017 | CVPR | Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects. | Ting Yao, Yingwei Pan, Yehao Li, Tao Mei |
| 2017 | ICCV | Boosting Image Captioning with Attributes. | Ting Yao, Yingwei Pan, Yehao Li, Zhaofan Qiu, Tao Mei |
| 2016 | IJCAI | Learning Deep Intrinsic Video Representation by Exploring Temporal Coherence and Graph Structure. | Yingwei Pan, Yehao Li, Ting Yao, Tao Mei, Houqiang Li, Yong Rui |