Yisong Yue
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 1%
- Signal Processing top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Thorsten JoachimsFilip RadlinskiThomas FinleyIain MatthewsPeter CarrPatrick LuceyFrances H. ArnoldGuanya Shi
- Topics
- Reinforcement Learning in Robotics (13 papers)Advanced Bandit Algorithms Research (11 papers)Machine Learning and Algorithms (10 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Yisong Yue
90 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 796
- Information Systems 590
- Signal Processing 382
- Control and Systems Engineering 340
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 of co-authors of Yisong Yue
This figure shows the co-authorship network connecting the top 25 collaborators of Yisong Yue. A scholar is included among the top collaborators of Yisong Yue 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 Yisong Yue. Yisong Yue 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 | 1 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 49 | |
| 6 | Learning to Make Decisions via Submodular Regularization | 1 |
| 7 | DeepGEM: Generalized Expectation-Maximization for Blind Inversion | 2 |
| 8 | Meta-Adaptive Nonlinear Control: Theory and Algorithms | 1 |
| 9 | 4 | |
| 10 | 25 | |
| 11 | Online Optimization with Memory and Competitive Control | 2 |
| 12 | Beyond No-Regret: Competitive Control via Online Optimization with Memory | 1 |
| 13 | Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning | 1 |
| 14 | A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes | 8 |
| 15 | Learning to Search via Self-Imitation | 2 |
| 16 | Generating Multi-Agent Trajectories using Programmatic Weak Supervision | 4 |
| 17 | Near-Optimal Machine Teaching via Explanatory Teaching Sets | 4 |
| 18 | Linear Submodular Bandits and their Application to Diversified Retrieval | 51 |
| 19 | Multi-Level Structured Models for Document-Level Sentiment Classification | 129 |
| 20 | The K-armed Dueling Bandits Problem. | 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) and Machine Learning and Algorithms (10 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.