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 and the 2021 Amazon Research Award.

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
  • Multimodal reasoning, especially multimodal script induction, generation and inference
  • 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 always looking for highly motivated students to work with me on broad NLP research. We have 3-4 PhD openings in 23'Fall. Please feel free to reach out and apply!

News and Highlights

  • (10/28/22): We are grateful to receive a gift fund from Google and Intuit.

  • (10/26/22): Our team - HokieBot is selected as one of the 9 university teams for the Alexa Prize SocialBot Grand Challenge 5. We are grateful for all the support from Amazon Alexa.

  • (10/9/22): Serving as a publication committee co-chair of ACL'2023.

  • (10/6/22): Two papers on long text generation and federated learning on knowledge graphs accepted by EMNLP'2022.

  • (9/30/22): Talk at USC AI Seminar: "Towards Open World Event Extraction with Weak Supervision".

  • (8/15/22): Our work on Incremental Prompting for Continual Event Detection is accepted by COLING'22. Congrats to Minqian!

  • (8/1/22): Serving as Area Chair (AC) for COLING'2022 and Senior Program Committee (SPC) for AAAI'2023.

  • (6/22/22): Initiated workshop "Indirect, Weak and Self Supervision for Knowledge Extraction" accepted by AKBC2022. Call For Papers!

  • (6/21/22): We are very grateful to receive a new grant from Meta AI to support our research on multimodal entity linking.

  • (4/7/22): Our work on Temporal Event Relation Extraction iis accepted by NAACL'2022. Congrats to Shuaicheng!

  • (3/31/22): Recent talks at UNC Greensboro, STR, Baidu and Data Intelligence Workshop on Transferable and Scalable Event Extraction

  • (3/30/22): Our work on Commonsense Prompting for Future Event Generation is accepted by SIGIR'2022.

  • (3/8/22) : Our SimBot team is featured on the VT News today!

  • (2/24/22): Two papers are accepted by ACL'2022. Congrats to Sijia and Zhe.

  • (12/28/21): Congrats to Sijia and Zhiyang on receiving internship offers from Amazon AWS Research Lab (NYC) and Alexa AI.

  • (12/15/21): Will give a tutorial on New Frontiers of Information Extraction at NAACL'2022.

  • (12/10/21): Very excited to receive a new grant for the DARPA KMass program.

  • (12/1/21): One paper on multi-modal question answering accepted by AAAI'2022.

  • (11/15/21): Receiving a new grant on SimBot Challenge from Amazon Alexa. Thanks Amazon!.

  • (10/15/21): One paper accepted by EMNLP'2021 main conference and one by the EANCS workshop of EMNLP'2021.

  • (03/24/21): Receiving the 2021 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

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