Ruitong Huang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Molecular Biology
- Statistics and Probability
- Co-authors
- Gavin Weiguang DingYash SharmaDale SchuurmansYaoliang YuMartha WhiteCsaba SzepesváriXinhua ZhangAndrás György
- Topics
- Adversarial Robustness in Machine Learning (4 papers)Advanced Bandit Algorithms Research (4 papers)Reinforcement Learning in Robotics (3 papers)
- Journals
- Frontiers in MicrobiologyJournal of Machine Learning ResearcharXiv (Cornell University)
In The Last Decade
Ruitong Huang
14 papers receiving 119 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 99
- Computer Vision and Pattern Recognition 33
- Signal Processing 22
- Molecular Biology 19
- Statistics and Probability 10
Countries citing papers authored by Ruitong Huang
This map shows the geographic impact of Ruitong Huang'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 Ruitong Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruitong Huang more than expected).
Fields of papers citing papers by Ruitong Huang
This network shows the impact of papers produced by Ruitong Huang. 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 Ruitong Huang. The network helps show where Ruitong Huang may publish in the future.
Co-authorship network of co-authors of Ruitong Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruitong Huang. A scholar is included among the top collaborators of Ruitong Huang 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 Ruitong Huang. Ruitong Huang 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 | On Minimax Optimality of GANs for Robust Mean Estimation. | 3 |
| 3 | Maximum Entropy Monte-Carlo Planning | 4 |
| 4 | 6 | |
| 5 | 2 | |
| 6 | Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training. | 10 |
| 7 | Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds | 2 |
| 8 | 40 | |
| 9 | Adversarial Robustness of Pruned Neural Networks | 14 |
| 10 | Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities | 9 |
| 11 | 1 | |
| 12 | 9 | |
| 13 | Deterministic Independent Component Analysis | 2 |
| 14 | {A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models} | 3 |
| 15 | 19 |
About Ruitong Huang
Ruitong Huang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability, having authored 15 papers that have together received 124 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Advanced Bandit Algorithms Research (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Artificial Intelligence (99 citations), Signal Processing (22 citations) and Computational Mathematics (1 citation). Ruitong Huang has collaborated with scholars based in Canada, Austria and Germany. Frequent co-authors include Gavin Weiguang Ding, Yash Sharma, Dale Schuurmans, Yaoliang Yu, Martha White, Csaba Szepesvári, Xinhua Zhang, András György, Luyu Wang and Yanshuai Cao. Their work appears in journals such as Frontiers in Microbiology, Journal of Machine Learning Research and arXiv (Cornell University).
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.