Yanbei Chen

I am a Staff Research Scientist at Meta, working on foundation models. Previously, I was a Senior Scientist at Amazon AGI, where I worked on Amazon Nova foundation models, including Nova 1: Multimodal understanding models, Nova 2: Multimodal reasoning and generation models, and Nova Multimodal Embeddings. I was a Scientist at Amazon AWS AI Lab, working on Amazon Rekognition models. Prior to my industry experience, I was a postdoc at the University of Tübingen, and received my Ph.D. degree from Queen Mary University of London, advised by Prof. Shaogang Gong. I obtained my M.S. degree from KTH Royal Institute of Technology and my B.S. degree from Zhejiang University.

[Google Scholar] [Github] [Email] [LinkedIn]

Released Models

Amazon Nova 2: Multimodal Reasoning and Generation Models
Amazon Artificial General Intelligence, 2025
[Tech Report] [Blog]

Amazon Nova 1: The Amazon Nova Family of Models: Technical Report and Model Card
Amazon Artificial General Intelligence, 2024
[Tech Report] [Blog]

Amazon Nova Multimodal Embeddings: Technical Report and Model Card
Amazon Artificial General Intelligence, 2025
[Tech Report] [Blog]

Selected Publications

	Hyperbolic Learning with Synthetic Captions for Open-World Detection Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo Conference on Computer Vision and Pattern Recognition, Seattle, USA, June 2024 [PDF]

	ScaleDet: A Scalable Multi-Dataset Object Detector Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo Conference on Computer Vision and Pattern Recognition, Vancouver, CA, June 2023 [PDF]

	Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, Zeynep Akata IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 [PDF]

	Probabilistic Compositional Embeddings for Multimodal Image Retrieval Andrei Neculai, Yanbei Chen, Zeynep Akata Conference on Computer Vision and Pattern Recognition, MULA Workshop, New Orleans, USA, June 2022 [PDF] [Code]

	Distilling Audio-Visual Knowledge by Compositional Contrastive Learning Yanbei Chen, Yongqin Xian, Sophia Koepke, Ying Shan, Zeynep Akata Conference on Computer Vision and Pattern Recognition, Online, June 2021 [PDF] [Supplementary] [Poster] [Code]

	Image Search with Text Feedback by Visiolinguistic Attention Learning Yanbei Chen, Shaogang Gong, Loris Bazzani Conference on Computer Vision and Pattern Recognition, Seattle, USA, June 2020 [PDF] [Supplementary] [Poster] [Code]

	Semi-Supervised Learning under Class Distribution Mismatch Yanbei Chen, Xiatian Zhu, Wei Li, Shaogang Gong Association for the Advancement of Artificial Intelligence, New York City, USA, February 2020 [PDF] [Supplementary] [Poster] [Code]

	Instance-Guided Context Rendering for Cross-Domain Person Re-Identification Yanbei Chen, Xiatian Zhu, Shaogang Gong International Conference on Computer Vision, Seoul, Korea, October 2019 [PDF] [Supplementary] [Poster]

	Deep Association Learning for Unsupervised Video Person Re-identification Yanbei Chen, Xiatian Zhu, Shaogang Gong British Machine Vision Conference, Newcastle, UK, September 2018 [PDF] [Poster] [Code]

	Semi-Supervised Deep Learning with Memory Yanbei Chen, Xiatian Zhu, Shaogang Gong European Conference on Computer Vision, Munich, Germany, September 2018 [PDF] [Poster] [Code]