Lihong Li
- Artificial Intelligence top 0.5%
- Management Science and Operations Research top 1%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Co-authors
- Olivier ChapelleMartin ZinkevichMarkus WeimerAlex SmolaJianfeng GaoMichel GalleyJohn LangfordMichael L. Littman
- Topics
- Advanced Bandit Algorithms Research (16 papers)Machine Learning and Algorithms (13 papers)Reinforcement Learning in Robotics (13 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaCanada
In The Last Decade
Lihong Li
65 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 1.5k
- Management Science and Operations Research 608
- Computer Vision and Pattern Recognition 482
- Computer Networks and Communications 293
- Information Systems 269
Countries citing papers authored by Lihong Li
This map shows the geographic impact of Lihong Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lihong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lihong Li more than expected).
Fields of papers citing papers by Lihong Li
This network shows the impact of papers produced by Lihong Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lihong Li. The network helps show where Lihong Li may publish in the future.
Co-authorship network of co-authors of Lihong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Lihong Li. A scholar is included among the top collaborators of Lihong Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lihong Li. Lihong Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Escaping the Gravitational Pull of Softmax | 4 |
| 8 | 29 | |
| 9 | Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning. | 6 |
| 10 | An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives | 12 |
| 11 | Active Learning with Oracle Epiphany | 2 |
| 12 | {Toward Minimax Off-policy Value Estimation} | 24 |
| 13 | PAC-inspired Option Discovery in Lifelong Reinforcement Learning | 33 |
| 14 | Mathematical model based on the product sales market forecast of markov forecasting and application | 3 |
| 15 | Open Problem: Regret Bounds for Thompson Sampling | 5 |
| 16 | Sample-efficient nonstationary policy evaluation for contextual bandits | 10 |
| 17 | An Empirical Evaluation of Thompson Samplingbreakdown → | 492 |
| 18 | Parallelized Stochastic Gradient Descentbreakdown → | 623 |
| 19 | 29 | |
| 20 | Efficient Value-Function Approximation via Online Linear Regression. | 2 |
About Lihong Li
Lihong Li is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (16 papers), Machine Learning and Algorithms (13 papers) and Reinforcement Learning in Robotics (13 papers). The work is most often cited by research in Management Science and Operations Research (608 citations), Artificial Intelligence (1.5k citations) and Computer Vision and Pattern Recognition (482 citations). Lihong Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Olivier Chapelle, Martin Zinkevich, Markus Weimer, Alex Smola, Jianfeng Gao, Michel Galley, John Langford, Michael L. Littman, Tong Zhang and Emma Brunskill. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.