| 2025 | IJCNN | Efficient Semi-Supervised 3D Medical Image Segmentation via Coarse Label Generation and Reorganization. | Xinzhe Xu, Sunbo Xu, Quanquan Li |
| 2021 | CVPR | Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection. | Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li |
| 2021 | CVPR | RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. | Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu |
| 2021 | ICCV | Differentiable Dynamic Wirings for Neural Networks. | Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu |
| 2020 | CVPR | DMCP: Differentiable Markov Channel Pruning for Neural Networks. | Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan |
| 2020 | CVPR | Equalization Loss for Long-Tailed Object Recognition. | Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan |
| 2020 | ECCV | MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection. | Xin Lu, Quanquan Li, Buyu Li, Junjie Yan |
| 2020 | ECCV | Learning Connectivity of Neural Networks from a Topological Perspective. | Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan |
| 2019 | CVPR | Grid R-CNN. | Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan |
| 2017 | CVPR | Mimicking Very Efficient Network for Object Detection. | Quanquan Li, Shengying Jin, Junjie Yan |
| 2016 | ECCV | POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. | Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan |