Qingyun Wang

Qingyun Wang

Ph.D. student, Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign

About me

I am a Ph.D. student in the Siebel School of Computing and Data Science 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 develop AI for Scientists (AI4Scientist) tools to effectively accelerate every stage of the research process for scientists, from knowledge acquisition, hypothesis generation, multimedia procedure planning for experiment design, experiment execution, conduction to writing, and evaluating the paper draft.

My commitment to developing AI for Scientists (AI4Scientist) has led me to focus on a knowledge lifecycle with three components:

  1. Few-shot Scientific Knowledge Acquisition
    • Examples: Multimedia COVID-KG (NAACL ‘21 Best Demo🏆) [I],Few-shot Chemical Entity Extraction [II,III]
  2. Integrating Domain Knowledge with Scientific LLM Reasoning
    • Examples: Knowledge-aware Hypothesis Generation [IV], Experiment/Task Planning and Execution [V,VI]
  3. Explainable Scientific Knowledge Dissemination
    • Examples: Knowledge-guided Paper Draft Writing Assistant [VII], Faithful Data-to-text Generation [VIII], Evidence-based Automatic Paper Assessment [IX]

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I’m happy to collaborate and answer questions about my research. I especially encourage students from underrepresented groups to reach out, as I commited to foster diversity, equity and inclusion in our community.

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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