Yinfei Yang (杨寅飞)

                        " K.I.S.S. - Keep it simple, Stupid! " -- by Kelly Johnson

Email: yangyin7 AT gmail DOT com

Short Biography

Yinfei Yang is a research scientist at Apple AI/ML working on vision and language foundation models. Before Apple, He worked at Google research on various natural language processing problems including semantic retrieval, multilingual representation, and multimodal representation. Prior to that, He also worked at Redfin and Amazon as research engineers for machine learning and computer vision problems. His research focuses on image and text representation learning for retrieval and transferring tasks. He is generally interested in problems in Computer Vision, Natural Language Processing, or combined.


Previously worked on:

Prior Experience

2017-2021 Research Scientist @ Google Research

2015-2017     Data Science Engineer @ Redfin

2013-2015     Software Engineer @ Amazon / Lab126

2008               Intern @ Sun Microsystems.

Selected Publications (Google Scholar)

Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Céspedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. Universal Sentence Encoder for English. EMNLP 2018, demo paper

Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-Yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-hsuan Sung, Brian Strope and Ray Kurzweil, Learning Semantic Textual Similarity from Conversations, 3rd workshop on RepL4NLP, ACL 2018, Best Paper Runner up

Yinfei Yang, Ani Nenkova, Detecting information-dense texts in multiple news domains. The 28th AAAI Conference on Artificial Intelligence (AAAI), 2014