Jingyang Lin

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

Publications

* indicates equal contribution

CT-CLIP: 3D Vision-Language Pretraining for Full-Body Scenarios by Leveraging Multimodal Dataset of CT Images and Reports Jingyang Lin, Yingda Xia, Jianpeng Zhang, Ke Yan, Le Lu, Jiebo Luo, Ling Zhang Under Review.

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] [Dataset] [Model]

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.

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