Jingyang Lin's Homepage

Bio

I am a second-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 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, video analysis, health care, self-supervised learning, and out-of-distribution analysis.

News

Nov. 2023	One paper is accepted by IEEE TMM.
May. 2023	One paper is accepted by ICDH 2023.
Sep. 2022	One paper is accepted by NeurIPS 2022.
Jun. 2022	One paper is accepted by IEEE TPAMI.
Sep. 2021	One paper is accepted by NeurIPS 2021.

Publications

* indicates equal contribution

VideoXum: Cross-modal Visual and Textural Summarization of Videos

Jingyang Lin*, Hang Hua*, Ming Chen, Yikang Li, Jenhao Hsiao, Chiuman Ho, Jiebo Luo

IEEE Transactions on Multimedia, Early Access. IEEE TMM.
[Project Page] [PDF] [Code]

Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning

Jingyang Lin, Junyu Chen, Hanjia Lyu, Igor Khodak, Divya Chhabra, Colby L Day Richardson, Irina Prelipcean, Andrew M Dylag, Jiebo Luo

IEEE International Conference on Digital Health. ICDH 2023.
[PDF]

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

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]

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. IEEE TPAMI.
[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

Rank 1 in open-set image classification of Open World Vision Challenge at CVPR 2021.
Best Bachelor Thesis Award of Sun Yat-sen University, 2019. (Top 2%)

Last updated on Aug 2023.