Global2Local: Efficient Structure Search for Video Action Segmentation. - Shang-Hua Gao; Qi Han 007; Zhong-Yu Li 006; Pai Peng; Liang Wang 001; Ming-Ming Cheng (CVPR, 2021)

Exploring Feature Self-relation for Self-supervised Transformer. - Zhong-Yu Li 006; Shanghua Gao; Ming-Ming Cheng (CoRR, 2022)

Enhancing Representations through Heterogeneous Self-Supervised Learning. - Zhong-Yu Li 006; Bowen Yin; Shanghua Gao; Yongxiang Liu; Li Liu 002; Ming-Ming Cheng (CoRR, 2023)

A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. - Yunheng Li; Zhong-Yu Li 006; Shanghua Gao; Qilong Wang 001; Qibin Hou; Ming-Ming Cheng (CoRR, 2023)

RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. - Shanghua Gao; Zhong-Yu Li 006; Qi Han 007; Ming-Ming Cheng; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Large-Scale Unsupervised Semantic Segmentation. - Shanghua Gao; Zhong-Yu Li 006; Ming-Hsuan Yang 001; Ming-Ming Cheng; Junwei Han 001; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SERE: Exploring Feature Self-Relation for Self-Supervised Transformer. - Zhong-Yu Li 006; Shanghua Gao; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CONDA: Condensed Deep Association Learning for Co-salient Object Detection. - Long Li 008; Nian Liu; Dingwen Zhang; Zhongyu Li 006; Salman Khan 001; Rao Muhammad Anwer; Hisham Cholakkal; Junwei Han 001; Fahad Shahbaz Khan (ECCV (50), 2024)

DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. - Bowen Yin; Xuying Zhang; Zhong-Yu Li 006; Li Liu 002; Ming-Ming Cheng; Qibin Hou (ICLR, 2024)

Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. - Yunheng Li; Zhong-Yu Li 006; Quan-Sheng Zeng; Qibin Hou; Ming-Ming Cheng (ICML, 2024)

ASPS: Augmented Segment Anything Model for Polyp Segmentation. - Huiqian Li; Dingwen Zhang; Jieru Yao; Longfei Han; Zhongyu Li 006; Junwei Han 001 (MICCAI (9), 2024)

Towards RAW Object Detection in Diverse Conditions. - Zhong-Yu Li 006; Xin Jin 005; Boyuan Sun 001; Chun-Le Guo; Ming-Ming Cheng (CoRR, 2024)

PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling. - Zhong-Yu Li 006; Yunheng Li; Deng-Ping Fan; Ming-Ming Cheng (CoRR, 2024)

Multi-Token Enhancing for Vision Representation Learning. - Zhong-Yu Li 006; Yusong Hu; Bowen Yin; Ming-Ming Cheng (CoRR, 2024)

Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT. - Dongyang Liu; Shicheng Li; Yutong Liu; Zhen Li; Kai Wang; Xinyue Li; Qi Qin; Yufei Liu; Yi Xin; Zhongyu Li 006; Bin Fu; Chenyang Si; et al. (CoRR, 2025)

VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning. - Zhong-Yu Li 006; Ruoyi Du; Juncheng Yan; Le Zhuo; Zhen Li 026; Peng Gao 007; Zhanyu Ma; Ming-Ming Cheng (CoRR, 2025)

Enhancing Representations Through Heterogeneous Self-Supervised Learning. - Zhongyu Li 006; Bowen Yin; Yongxiang Liu; Li Liu 002; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2025)