Qingyun Wu
Scholar

Qingyun Wu

Google Scholar ID: Y54J21sAAAAJ
The Pennsylvania State University
Agentic AI
Citations & Impact
All-time
Citations
4,256
 
H-index
26
 
i10-index
39
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • - Project: AutoGen - Enabling Next-Gen LLM Applications via Multi-Agent Conversation
  • - Project: FLAML - A Fast Library for Automated Machine Learning & Tuning
  • - Published papers include 'AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation' and others, with one paper winning the Best Paper Award at SIGIR 2019
Research Experience
  • - Assistant Professor at the College of Information Science and Technology, Penn State University, since Fall 2021
  • - Postdoctoral Researcher at Microsoft Research NYC Lab, 2020 to 2021
Education
  • - Ph.D. in Computer Science from the University of Virginia, graduated in 2020, supervised by Dr. Hongning Wang
  • - Postdoctoral Researcher at Microsoft Research NYC Lab, 2020 to 2021, hosted by Dr. John Langford
Background
  • - Research Interests: Machine Learning, Artificial Intelligence, particularly Automated Machine Learning (AutoML) and Large Language Models (LLMs)
  • - Professional Field: Computer Science
  • - Introduction: Currently an Assistant Professor at the College of Information Science and Technology, Penn State University, focusing on developing the next generation of intelligent information systems.
Miscellany
  • - Looking for motivated students or interns interested in LLM agent systems to join his research team