Xinlei Chen
Contributes to multimodal work at OpenAI; formerly at xAI and Meta FAIR; first author of SimSiam
Xinlei Chen's site says Chen is at OpenAI, contributing to its multimodal work, after serving as a Member of Technical Staff at xAI on multimodal understanding and generation and as a Research Scientist at Meta FAIR working on pre-training and understanding visual representations. Chen is first author, with Kaiming He, of the 2020 SimSiam paper on simple Siamese representation learning, first author of a 2021 study of training self-supervised Vision Transformers that benchmarks MoCo v3, and a co-author of Masked Autoencoders (MAE).1234
Work
SimSiam (external site: arxiv.org)Published research
First author, with Kaiming He, of "Exploring Simple Siamese Representation Learning" (2020).2
Self-supervised Vision Transformers (MoCo v3 study) (external site: arxiv.org)Published research
First author, with Saining Xie and Kaiming He, of "An Empirical Study of Training Self-Supervised Vision Transformers" (2021), which benchmarks ViT results in MoCo v3 and other self-supervised frameworks.3
Other documented roles
Roles the sources document but that are not confirmed as current.
- Member of Technical Staff, xAI1
- Research Scientist, FAIR, Meta (FAIR)1
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