About
Jian is primarily interested in computational linguistics, natural language processing and speech processing, with a focus on the dynamics of language use in online communities, large-scale computational methods, multimodal/cross-modal learning and semi-supervised methods for speech segmentation/alignment. His works are published in various NLP and speech conferences, including EMNLP, NAACL, Interspeech and ICASSP. He is currently pursuing a joint Ph.D. degree in Scientific Computing at Michigan Institute for Computational Discovery & Engineering. Before joining the Linguistics Department at the University of Michigan, Jian earned his M.A. degree in linguistics and B.A. degree in translation and interpreting from Beijing Foreign Studies University.