Jinfeng Yi
- Artificial Intelligence top 0.5%
- Adversarial Robustness in Machine Learning 21
- Anomaly Detection Techniques and Applications 10
- Domain Adaptation and Few-Shot Learning 6
- Privacy-Preserving Technologies in Data 6
- Health Informatics top 2%
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- Face and Expression Recognition 12
- Advanced Neural Network Applications 8
- Signal Processing top 2%
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- Sparse and Compressive Sensing Techniques 5
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- Recommender Systems and Techniques 5
- Journals
- Machine Learning (2 papers)Frontiers in Immunology (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Jinfeng Yi
58 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.9k
- Health Informatics 62
- Computer Vision and Pattern Recognition 719
- Signal Processing 354
- Computer Science Applications 99
Countries citing papers authored by Jinfeng Yi
This map shows the geographic impact of Jinfeng Yi'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 Jinfeng Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinfeng Yi more than expected).
Fields of papers citing papers by Jinfeng Yi
This network shows the impact of papers produced by Jinfeng Yi. 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 Jinfeng Yi. The network helps show where Jinfeng Yi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinfeng Yi, 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 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 7 | |
| 6 | Fast Certified Robust Training via Better Initialization and Shorter Warmup. | 2021 | 2 |
| 7 | Fast Certified Robust Training with Short Warmup | 2021 | 1 |
| 8 | Improving Adversarial Robustness Requires Revisiting Misclassified Examples | 2020 | 153 |
| 9 | DTWNet: a Dynamic Time Warping Network | 2019 | 36 |
| 10 | 2019 | 19 | |
| 11 | Adaptive Negative Curvature Descent with Applications in Non-convex Optimization | 2018 | 2 |
| 12 | Similarity Preserving Representation Learning for Time Series Analysis. | 2017 | 8 |
| 13 | Improved Dynamic Regret for Non-degenerate Functions | 2017 | 16 |
| 14 | Efficient Algorithms for Robust One-bit Compressive Sensing | 2014 | 50 |
| 15 | A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data | 2014 | 5 |
| 16 | Online Kernel Learning with a Near Optimal Sparsity Bound | 2013 | 16 |
| 17 | Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion | 2013 | 25 |
| 18 | Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning | 2012 | 46 |
| 19 | Crowdclustering with sparse pairwise labels: A matrix completion approach | 2012 | 28 |
| 20 | Stochastic Gradient Descent with Only One Projection | 2012 | 19 |
About Jinfeng Yi
Jinfeng Yi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (21 papers), Face and Expression Recognition (12 papers), Anomaly Detection Techniques and Applications (10 papers), Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (6 papers), Privacy-Preserving Technologies in Data (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Health Informatics (62 citations) and Computer Vision and Pattern Recognition (719 citations). Jinfeng Yi has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yisen Wang, James Bailey, Cho‐Jui Hsieh, Xingjun Ma, Pin‐Yu Chen, Yuan Luo, Huan Zhang, Yash Sharma, Rong Jin and Bowen Zhou. Their work appears in journals such as Machine Learning, Frontiers in Immunology, Journal of Leukocyte Biology, ACM Transactions on Information Systems and IEEE Transactions on Neural Networks and Learning Systems.
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.