Qingyun Wang

Qingyun Wang

Ph.D. student, Computer Science Department, University of Illinois at Urbana-Champaign

About me

I am a Ph.D. student in the Computer Science Department at the University of Illinois at Urbana-Champaign. I have been a member of the BLENDER Lab since 2017, supervised by Prof. Heng Ji. Previously, I graduated a summa cum laude from Rensselaer Polytechnic Institute with a dual B.S. degree in Computer Science and Mathematics.

I am among the first researchers to develop a virtual scientific research assistant (i.e., PaperRobot [ACL 2019]) for literature-based discovery by extracting and synthesizing insights from papers. My research interest lies in Automated Literature Understanding and Scientific Discovery. My long-term vision is to expand AI4Scientist to effectively accelerate every stage of the research process for scientists. This encompasses three threads (but are not limited to):

  • Constructing Scientific Knowledge Graph with Limited Annotated Data
    • Examples: Multimedia KG for Covid-19 (NAACL ‘21 Best Demo🏆) [I], Few-shot Chemical Entity Extraction [II,III]
  • Scientific Hypothesis Discovery through Knowledge Fusion
    • Examples: Scientific Hypothesis Generation [IV], Procedure Prediction [V]
  • Applying Knowledge Graph
    • Examples: Paper Review Generation [VI], Data-to-text Generation [VII]

Here is my up-to-date CV.

I’m happy to collaborate and answer questions about my research. I especially encourage students from underrepresented groups to reach out.

I am on the academic job market this fall! Feel free to reach out if you’re interested in my research or have relevant opportunities.

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