Ying Jin, Zhangjie Cao, Ximei Wang, Jianmin Wang, and Mingsheng Long. "One Fits Many: Class Confusion Loss for Versatile Domain Adaptation.".Transactions on Pattern Analysis and Machine Intelligence TPAMI 2024.
Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao. "SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.".Neural Information Processing Systems NeurIPS 2023.
Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang "Upop: Unified and progressive pruning for compressing vision-language transformers.".International Conference on Machine Learning ICML 2023.
Ying Jin, Jiaqi Wang, Dahua Lin "Multi-level Logit Distillation.".Computer Vision and Pattern Recognition Conference CVPR 2023.
Ying Jin, Jiaqi Wang, Dahua Lin "Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant.".Neural Information Processing Systems NeurIPS 2022.
Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin "Few-Shot Object Detection via Association and DIscrimination".Neural Information Processing Systems NeurIPS 2021.
Pengfei Hou*, Ying Jin*, Yukang Chen "Single-DARTS: Towards Stable Architecture Search ".International Conference on Computer Vision Workshop ICCVW 2021.
Ying Jin*, Zhangjie Cao*, Mingsheng Long, Jianmin Wang. "Minimum Class Confusion for Versatile Domain Adaptation".British Machine Vision Conference BMVC 2020.
Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang. "Minimum Class Confusion for Versatile Domain Adaptation".European Conference on Computer Vision ECCV 2020.
Ying Jin, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu, Jiaguang Sun. "A Multi-Player Minimax Game For Generative Adversarial Networks".IEEE International Conference on Multimedia and Expo ICME 2020.
Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I.Jordan. "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks".Neural Information Processing Systems NeurIPS 2019.