Yisong Yue
- Computational Mathematics top 5%
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- Video Analysis and Summarization 7
- Signal Processing top 2%
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics 13
- Machine Learning and Algorithms 10
- Information Systems top 1%
- Information Retrieval and Search Behavior 7
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- Advanced Bandit Algorithms Research 11
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- Advanced Control Systems Optimization 7
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- Optimization and Search Problems 7
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- Sports Analytics and Performance 7
Yisong Yue
90 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Computational Mathematics 24
- Computer Vision and Pattern Recognition 796
- Signal Processing 382
- Artificial Intelligence 1.1k
- Information Systems 590
Countries citing papers authored by Yisong Yue
This map shows the geographic impact of Yisong Yue'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 Yisong Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yisong Yue more than expected).
Fields of papers citing papers by Yisong Yue
This network shows the impact of papers produced by Yisong Yue. 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 Yisong Yue. The network helps show where Yisong Yue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yisong Yue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 13 | |
| 5 | 2021 | 49 | |
| 6 | Learning to Make Decisions via Submodular Regularization | 2021 | 1 |
| 7 | DeepGEM: Generalized Expectation-Maximization for Blind Inversion | 2021 | 2 |
| 8 | Meta-Adaptive Nonlinear Control: Theory and Algorithms | 2021 | 1 |
| 9 | 2021 | 4 | |
| 10 | 2020 | 25 | |
| 11 | Online Optimization with Memory and Competitive Control | 2020 | 2 |
| 12 | Beyond No-Regret: Competitive Control via Online Optimization with Memory | 2020 | 1 |
| 13 | Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning | 2019 | 1 |
| 14 | A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes | 2019 | 8 |
| 15 | Learning to Search via Self-Imitation | 2018 | 2 |
| 16 | Generating Multi-Agent Trajectories using Programmatic Weak Supervision | 2018 | 4 |
| 17 | Near-Optimal Machine Teaching via Explanatory Teaching Sets | 2018 | 4 |
| 18 | Linear Submodular Bandits and their Application to Diversified Retrieval | 2011 | 51 |
| 19 | Multi-Level Structured Models for Document-Level Sentiment Classification | 2010 | 129 |
| 20 | The K-armed Dueling Bandits Problem. | 2009 | 11 |
About Yisong Yue
Yisong Yue is a scholar working on Computational Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Advanced Bandit Algorithms Research (11 papers), Machine Learning and Algorithms (10 papers), Video Analysis and Summarization (7 papers), Advanced Control Systems Optimization (7 papers), Information Retrieval and Search Behavior (7 papers), Optimization and Search Problems (7 papers) and Sports Analytics and Performance (7 papers). The work is most often cited by research in Computational Mathematics (24 citations), Computer Vision and Pattern Recognition (796 citations) and Signal Processing (382 citations). Yisong Yue has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Thorsten Joachims, Filip Radlinski, Thomas Finley, Iain Matthews, Peter Carr, Patrick Lucey, Frances H. Arnold, Guanya Shi, Soon‐Jo Chung and Ainur Yessenalina. Their work appears in journals such as Nature Communications, Neuron and IEEE Transactions on Automatic Control.
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.