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" 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.
Topics:
Embedding model.
Vision foundation model.
Vision language model.
Multimodal LLM.
Previously worked on:
Long text semantic representation, sentence embedding.
Question-answering.
Summarization and text generation.
Sentiment analysis.
Recommendation;
House value estimation.
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
Others
Reviewer
Conference: ICRA-2014, ICRA-2015, AAAI-2016, AAAI-2017, EMNLP-2017
Journal: Computer Speech & Language, Pattern Recognition
Google Sites
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