Jianwen Zhang joined Machine Learning Group, Microsoft Research (Beijing) in 2011. Since then he has been focusing on the statistical learning approaches for knowledge graphs, to help enrich and utilize knowledge graph for semantic computing. He is currently driving a project of learning representations for all kinds of objects related to knowledge, language and web, such as entities, relations, words, sentences, documents, queries, urls etc., in a universal vector space from massive scale data. Jianwen is also interested in structured prediction and un/semi-supervised learning theory.
Jianwen received his PhD from Tsinghua University in 2011, and his BEng from Huazhong University of Science and Technology in 2006.