CV

Education

• M.Eng. in Tsinghua University, 2018-2021
• B.Eng. in Shanghai Jiao Tong University, 2014-2018

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Transferable Normalization: Towards Improving Transferability of Deep Neural Networks.

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.

A Multi-Player Minimax Game For Generative Adversarial Networks

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.

Minimum Class Confusion for Versatile Domain Adaptation.

Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang. "Minimum Class Confusion for Versatile Domain Adaptation".European Conference on Computer Vision ECCV 2020.

Transferring Pretrained Networks to Small Data via Category Decorrelation.

Ying Jin*, Zhangjie Cao*, Mingsheng Long, Jianmin Wang. "Minimum Class Confusion for Versatile Domain Adaptation".British Machine Vision Conference BMVC 2020.

Single-DARTS: Towards Stable Architecture Search

Pengfei Hou*, Ying Jin*, Yukang Chen "Single-DARTS: Towards Stable Architecture Search ".International Conference on Computer Vision Workshop ICCVW 2021.

Few-Shot Object Detection via Association and DIscrimination.

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.

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant.

Ying Jin, Jiaqi Wang, Dahua Lin "Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant.".Neural Information Processing Systems NeurIPS 2022.

Multi-level Logit Distillation

Ying Jin, Jiaqi Wang, Dahua Lin "Multi-level Logit Distillation.".Computer Vision and Pattern Recognition Conference CVPR 2023.

Upop: Unified and progressive pruning for compressing vision-language transformers

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.

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation

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.

One Fits Many: Class Confusion Loss for Versatile Domain Adaptation

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.

Talks

Hyperparater Optimization for Generative Adversarial Networks

June 27, 2018

Bachelor Thesis Defense at Shanghai Jiao Tong University, Shanghai, China

A Multi-Player Minimax Game For Generative Adversarial Networks

July 06, 2020

Oral at IEEE International Conference on Multimedia and Expo (ICME), 2020, Virtual Conference

Minimum Class Confusion for Versatile Domain Adaptation

August 23, 2020

Poster Presentation at European Conference on Computer Vision (ECCV), 2020, Virtual Conference

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams