Dr. Grace Hui Yang is Associate Professor in Computer Science at Georgetown University, Washington D.C. Dr. Yang is leading the InfoSense (Information Retrieval and Sense-Making) group at Georgetown University. Dr. Yang obtained her Ph.D. in Computer Science from Carnegie Mellon University in 2011. Her current research interests include artificial intelligence, deep reinforcement learning, conversational agents, search engines, and privacy-preserving information retrieval. Prior to this, she conducted research on question answering, automatic ontology construction, near-duplicate detection, multimedia information retrieval, and opinion and sentiment detection. Dr. Yang’s research has been supported by the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF). Dr. Yang led the effort for the Text Retrieval Conference (TREC) Dynamic Domain Tracks from 2015 to 2017 and SIGIR privacy-preserving information retrieval workshops from 2014 to 2016 and organized the SIGIR Deep Reinforcement Learning Workshops and Agent-based Information Retrieval Workshops since 2020. Dr. Yang is currently associate editor for top-tier journal ACM Transactions on Information Systems and served on the editorial board of Information Retrieval Journal from 2014 to 2017. She has actively served in leadership positions in many top-tier machine learning, AI, and information retrieval conferences such as SIGIR, ACL, AAAI, ICTIR, CIKM, WSDM, and WWW, and was general co-chair of the flagship conference in information retrieval, SIGIR, in 2024. She is a recipient of the NSF Faculty Early Career Development Program (CAREER) Award and an author of the 2016 book “Dynamic Information Retrieval Modeling.”
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Dr. Grace Hui Yang is an Associate Professor in the Department of Computer Science at Georgetown University. Dr. Yang is leading the InfoSense (Information Retrieval and Sense-Making) group at Georgetown University, Washington D.C., U.S.A. Dr. Yang obtained her Ph.D. from the Language Technologies Institute, Carnegie Mellon University in 2011. Dr. Yang’s current research interests include deep reinforcement learning, conversational artificial intelligence, dynamic information retrieval, search engine evaluation, privacy-preserving information retrieval, and information organization. Prior to this, she conducted research on question answering, ontology construction, near-duplicate detection, multimedia information retrieval, and opinion and sentiment detection. Dr. Yang's research has been supported by the Defense Advanced Research Projects Agency and the National Science Foundation. Dr. Yang is a recipient of the National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) Award. Dr. Yang co-chaired SIGIR 2013 and 2014 Doctoral Consortiums, SIGIR 2017 Workshop, WSDM 2017 Workshop, ICTIR 2017 Workshop, CIKM 2015 Tutorial, ICTIR 2018 Short Paper, and SIGIR 2018 Demonstration Paper Program Committees. Dr. Yang served on the editorial board of the Information Retrieval Journal from 2014 to 2017. She has served as an area chair/senior program committee member for SIGIR 2014-present, WSDM 2018-present, ECIR 2017, and ACL 2016. Dr. Yang also co-organized the Text Retrieval Conference (TREC) Dynamic Domain Track from 2015 to 2017 and led the effort for SIGIR privacy-preserving information retrieval workshops from 2014 to 2016. Home page: http://infosense.cs.georgetown.edu/grace/.