Lihong Li is a researcher affiliated with Amazon in the United States. Their academic contributions span multiple fields, primarily focused on Computer Science and Engineering. Within these domains, they have emphasized specific subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research, Biomedical Engineering, and Industrial and Manufacturing Engineering.
The scientist's publications cover a range of topics. Their main research interests include Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Photoacoustic and Ultrasonic Imaging, Video Surveillance and Tracking Methods, Advanced Neural Network Applications, and Advanced Image and Video Retrieval Techniques.
Frequent publication venues for their work include:
Among recent papers, the following are notable examples across different years and venues:
Lihong Li has collaborated with several frequent coauthors, including:
Lihong Li;Wei Chu;John Langford;Robert E. Schapire
Martin Zinkevich;Markus Weimer;Lihong Li;Alex J. Smola
Olivier Chapelle;Lihong Li
Wei Chu;Lihong Li;Lev Reyzin;Robert E. Schapire
Lihong Li;Wei Chu;John Langford;Xuanhui Wang
John Langford;Lihong Li;Tong Zhang
Alexander L. Strehl;Lihong Li;Eric Wiewiora;John Langford
John Langford;Lihong Li;Miroslav Dud k
Miroslav Dudik;John Langford;Lihong Li
Nan Jiang;Lihong Li
Lihong Li;Thomas J. Walsh;Michael L. Littman
Alekh Agarwal;Daniel Hsu;Satyen Kale;John Langford
Bhuwan Dhingra;Lihong Li;Xiujun Li;Jianfeng Gao
Alexander L. Strehl;Lihong Li;Michael L. Littman
Lihong Li;Michael L. Littman;Thomas J. Walsh
Lihong Li;Michael L. Littman;Thomas J. Walsh;Alexander L. Strehl
Miroslav Dudík;Dumitru Erhan;John Langford;Lihong Li
Alina Beygelzimer;John Langford;Lihong Li;Lev Reyzin
Ronald Parr;Lihong Li;Gavin Taylor;Christopher Painter-Wakefield
Unknown
Alex Strehl;John Langford;Lihong Li;Sham M Kakade
Jianfeng Gao;Michel Galley;Lihong Li
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens up a range of flexible and affordable online study options. Many students seek the most affordable online colleges to keep costs manageable. These institutions often provide quality programs recognized by employers, without the high price tag.
Worried about past academic performance? You can still qualify for leading computer science programs. Check out the best colleges for low gpa, which support students who may not meet the standard entry criteria but are eager to build tech skills and launch their careers.
If you're motivated to earn your degree quicker, consider an accelerated computer science degree online. Accelerated programs can fast-track your graduation and entry into the tech workforce.
A computer science foundation also paves the way for interdisciplinary careers. For example, learn what can i do with an environmental science degree to see how programming and data analysis skills intersect with fields like environmental science, expanding your job prospects even further.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 43
University of Connecticut Health Center
University of Glasgow
North Carolina State University
University of Exeter
University of Naples Federico II
La Trobe University
University of Massachusetts Chan Medical School
Ludwig-Maximilians-Universität München
Vanderbilt University
Kyung Hee University
Rovira i Virgili University
Hong Kong University of Science and Technology
Baker IDI Heart and Diabetes Institute
University of Montpellier
Imperial College London
University of Sheffield