I am an Assistant Professor of the Computer Science Department at Virginia Tech, where I lead the Natural Language Processing Lab. At VT CS, I'm also a member of the Sanghani Center for Artificial Intelligence and Discovery Analytics.
Prior to VT, I received my Ph.D. in Computer Science from UIUC where I worked with Heng Ji. I have also worked at Singapore Management University, Microsoft Rsearch Asia, IBM Watson Research, and Allen Institute AI (AI2). I am a recipient of the 2019 AI2 Fellowship.
My primary research interests are in the fields of Natural Language Processing, Machine Learning and Artificial Intelligence. I'm interested in building efficient models and benchmarks that can encourage machines to perform human-level intelligence. My current research interests include:
- Extracting structured knowledge with limited supervision: information extraction with (weak) supervision, automatic schema induction, knowledge-enpowered information extraction, few/zero shot learning
- Natural language understanding and reasoning by leveraging external knowledge and commonsense
- Natural language generation
- Representation learning: domain adaptation, cross-lingual transfer, multi-modality learning
I'm looking for highly motivated students to work with me on broad NLP research.
News and Highlights
(05/30/21): Giving talks about Transferable and Scalable Event Extraction at Baidu and Data Intelligence Workshop
(05/05/21): One paper accepted by ACL'2021
(03/30/21): Will serve as an Area Chair of NLPCC'2021
(03/24/21): Receiving the Amazon Research Awards. Thanks Amazon!
(03/01/21): Will serve as an Area Chair for Application track of EMNLP'2021
(11/28/20): Very excited to start my new career at Virginia Tech
(10/27/20): Will serve as an Area Chair for IE track of NAACL'2020
(10/17/20): Will serve as a Senior Program Committee Member for IJCAI'2020
(10/01/20): Our work on ReviewRobot is accepted by INLG'2020!
(10/01/20): Our work on semi-supervised new event type induction and event detection is accepted by EMNLP'2020! Code will be released here.