Scholar
Lihong Li (李力鸿)
Google Scholar ID: Rqy5KDEAAAAJ
Amazon
Citations & Impact
Citations
19,745
H-index
60
i10-index
90
Publications
20
Co-authors
136
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- He has given talks or organized events at various top conferences and workshops, including but not limited to: Alignment 2025, AI+Robotics Research Symposium, NSF Workshop on Reinforcement Learning, etc. Additionally, he received the Seoul Test of Time Award, and his paper on contextual bandits has been widely recognized.
Research Experience
- Senior Principal Scientist at Amazon since 2020; Research Scientist at Google Research from 2017 to 2020; Senior, Principal, Sr Principal Researcher at Microsoft Research from 2012 to 2017; Research Scientist at Yahoo! Research from 2009 to 2012.
Education
- PhD in Computer Science from Rutgers University in 2009; MSc in Computing Science from the University of Alberta in 2004; BE in Computer Science and Technology from Tsinghua University in 2002.
Background
- His core research interest is in machine learning for interactive systems that maximizes a utility function by taking actions, which contrasts with prediction-oriented machine learning like supervised learning. He is working on large language models, reinforcement learning, contextual bandits, and related areas. His work has been applied to industrial recommendation, Web search, advertising, and conversational systems.
Miscellany
- Personal interests are not explicitly mentioned, but it is noted that he is on Twitter as @LihongLi20.
