Yuntian Deng is a PhD student at Harvard University advised by Prof. Alexander Rush and Prof. Stuart Shieber. Yuntian’s research aims at building coherent, transparent, and efficient long-form text generation models. Yuntian is also the main contributor to open-source projects such as OpenNMT, Im2LaTeX, and LaTeX2Im that are widely used in academia and industry. He has been awarded Nvidia Fellowship, Baidu Fellowship, ACL 2017 Best Demo Paper Runner-Up, DAC 2020 Best Paper, Harvard Certificate of Distinction in Teaching, NeurIPS 2020 top 10% reviewer for his research, teaching, and professional services.
ACM Gordon Bell COVID Finalist
ACM Gordon Bell Finalist
Awards Presentation
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