Scholar
Qingyao Ai
Google Scholar ID: UKqaI5IAAAAJ
Associate Professor, Dept. of CS&T, Tsinghua University
Citations & Impact
Citations
6,489
H-index
35
i10-index
85
Publications
20
Co-authors
21
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Qian Weichang Chinese Information Processing Science and Technology Youth Innovation Award - 2024
- Qian Weichang Chinese Information Processing Science and Technology Nature and Science Award - First Prize - 2024
- ACM SIGIR Early Career Researcher Award - 2024
- ACM SIGIR 2024 Best Paper Award - 2024
- Beijing Science and Technology Award - First Prize, 2023
- ACM SIGIR-AP 2023 Best Paper Honorable Mention, 2023
- Google Research Scholar Award, 2021
- UMass CICS Accomplishments in Search & Mining Awards, 2017
- Ph.D. Qualifying Exam (Portfolio) passed with distinction, 2016
- Outstanding Bachelor Graduate of Beijing (top 1%), 2014
- Outstanding Bachelor Graduate of Tsinghua (top 10%), 2014
- Excellent Undergraduate Thesis Award (top 4), 2014
- Tsinghua Laboratory Contribution Award, Third Prize, 2014
- Tsinghua Zhong Shi-Mo Scholarship (the highest award for students in Dept. CS&T, top 1), 2012
Research Experience
- Tsinghua University, Associate Professor at THUIR, Beijing, China, Dec. 2024 - Now
- Tsinghua University, Assistant Professor at THUIR, Beijing, China, Aug. 2022 - Dec. 2024
- University of Utah, Tenure-track Assistant Professor, Salt Lake City, UT, USA, Aug. 2019 - Jun. 2022
- University of Massachusetts, Amherst, Research Assistant in CIIR, Advisor: Prof. W. Bruce Croft, Amherst, MA, USA, Sept. 2014 - Jul. 2019
- Amazon Search, Data Scientist Intern, Mentors: Danial Hill and S. V. N. Vishwanathan, Palo Alto, CA, USA, May 2018 - Aug. 2018
- Google Research, Ph.D. Intern, Mentors: Xuanhui Wang, Nadav Golbandi, and Michael Bendersky, CA, USA, Jun. 2017 - Sept. 2017
- Microsoft Research, Research Intern in CLUES, Mentors: Susan Dumais and Nick Craswell, Redmond, WA, USA, Jun. 2015 - Sept. 2015
- Tsinghua University, Undergraduate Thesis Project in THUIR, Advisor: Prof. Yiqun Liu, Beijing, China, Sept. 2012 - Jun. 2014
Background
- Research interests: Information Retrieval and related topics. Currently working on integrating retrieval and generative AI techniques to build better information access systems and agents, including retrieval/ranking optimization, retrieval augmented generation, automatic prompt refinement, continue learning for agents, and more.
Miscellany
- Actively recruiting PostDocs and Ph.D. candidates! If you are interested, please send an email or check about the links here.
