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Jingyang Lin


Bio

I am a first-year Ph.D. student at University of Rochester, advised by Prof. Jiebo Luo. Before that, I received the B.Eng. degree in software engineering and M.Sc. degree in computational mathematics all from the Sun Yat-sen University, supervised by Prof. Hongyang Chao. I also worked as a research intern in the Computer Vision and Multimedia Lab at JD AI Research, co-advised by Dr. Yu Wang, Dr. Ting Yao, and Dr. Tao Mei.

My research focuses on machine learning and computer vision, especially in vision-and-language, self-supervised learning, out-of-distribution analysis.

Publications

Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Jingyang Lin, Yu Wang, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei
Preprint.
[PDF] [Code]
Out-of-Distribution Detection via Conditional Kernel Independence Model
Yu Wang, Jingjing Zou, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei
Neural Information Processing Systems. NeurIPS 2022.
[PDF] [Code] Spotlight Presentation
A Low Rank Promoting Prior for Contrastive Learning
Yu Wang, Jingyang Lin, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei
IEEE Transactions on Pattern Analysis and Machine Intelligence. TPAMI 2021.
[PDF] [Code]
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang, Jingyang Lin, Jingjing Zou, Yingwei Pan, Ting Yao, Tao Mei
Neural Information Processing Systems. NeurIPS 2021.
[PDF] [Code]
CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning
Jingyang Lin, Yingwei Pan, Rongfeng Lai, Xuehang Yang, Hongyang Chao, Ting Yao
IEEE International Conference on Multimedia and Expo. ICME 2021.
[PDF] [Code] Oral Presentation
Improving Fast Segmentation With Teacher-student Learning
Jiafeng Xie, Bing Shuai, Jian-Fang Hu, Jingyang Lin, Wei-Shi Zheng
British Machine Vision Conference. BMVC 2018.
[PDF]

Awards




Last updated on September 2022.

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