Service, Talks, and Awards

Service

• Program Committee

  KDD (2022-2024), ISMB (2023-2024), TheWebConf (2024), ACL(2022-2024), EMNLP (Area Chair, 2023), NAACL (2022-2024), COLING (2022), BigData (2023), SDM (2024)

• Organization Committee

  Co-Chair, IEEE-BigData (2024), Undergraduate and High School Symposium

  Program Chair, South NLP Symposium (2024)

  Mentor, Women in Machine Learning Workshop (co-organized with Women in KDD, 2022)

  Session Chair, IEEE BigData (2019)

• Conference Reviewer

  KDD (2018-2021), TheWebConf (2021), IJCAI (2021), ICDM (2019), AAAI (2018-2019)

• Journal Reviewer

  ACM Transactions on Intelligent Systems and Technology (ACM TIST), Data Mining and Knowledge Discovery, Bioinformatics, Journal of the American Medical Informatics Association (JAMIA)

Talks

• Panelist, ORNL Core University AI Workshop, Oct. 31, 2023

  Science in the age of generative AI

• Panelist, Amazon - Virginia Tech Initiative for Efficient and Robust Machine Learning, Oct. 27, 2023

  How can academia compete in the new era of LLMs?

• Invited Talk, Amazon - Virginia Tech Initiative for Efficient and Robust Machine Learning, Oct. 27, 2023

  Trustworthy Question Answering with Retrieval-Augmented Large Language Models

• Invited Talk, VT Engineering Research Seminar, Sep. 8, 2023

  AI for Science in the Era of Large Language Models

• Invited Talk, VT CS Graduate Seminar, Sep. 1, 2023

  AI for Science in the Era of Large Language Models

• Invited Talk, Children’s National Hospital, Jun. 12, 2023

  Biomedical Natural Language Processing and Text Mining

• Guest Lecture, Computer Science Department, Washington University in St. Louis, Nov. 8, 2022

  Scientific Knowledge Extraction from Massive Text Data

• Guest Lecture, Computer Science Department, University of Washington, May 19, 2022

  Scientific Knowledge Extraction from Massive Text Data

• Invited Talk, UIUC-NLP Seminar, Dec. 3, 2021

  Scientific Knowledge Extraction from Massive Text Data

• Guest Lecture, Computer Science Department, University of California San Diego, Dec. 1, 2020

  Biomedical Text Mining for Scientific Knowledge Discovery

• Invited Talk, School of Information, The University of Texas at Austin, Apr. 23, 2020

  Named Entity Recognition and Evidence Mining in COVID-19 Literature

Awards

• NAACL Best Demo Paper Award (2021)
• YEE Fellowship, UIUC (2020-2021)
• IEEE BIBM Student Travel Grant Award (2019)
• Biochemistry Student Travel Grant Award, UIUC (2015)
• Scholarship of Tsinghua Talented Program in Life Sciences, Tsinghua University (2012)