Eunho Yang
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Bayesian Modeling and Causal Inference
- Privacy-Preserving Technologies in Data
- Topic Modeling
Papers in
-
- Domain Adaptation and Few-Shot Learning 19
- Bayesian Modeling and Causal Inference 8
- Machine Learning and Data Classification 7
- Speech Recognition and Synthesis 7
- Neural Networks and Applications 6
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- Advanced Neural Network Applications 6
- Co-authors
- Pradeep Ravikumar (12 shared papers)Sung Ju Hwang (24 shared papers)Genevera I. Allen (7 shared papers)Zhandong Liu (6 shared papers)Aurélie Lozano (10 shared papers)Pradeep Ravikumar (4 shared papers)Ambuj Tewari (2 shared papers)Jinwoo Shin (6 shared papers)
- Journals
- IEEE Access (4 papers)Electronic Journal of Statistics (2 papers)Journal of the Society for Information Display (1 paper)Wiley Interdisciplinary Reviews Computational Statistics (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Eunho Yang
66 papers receiving 689 citations
Peers
Comparison fields: 5 of 98
- Statistics and Probability 136
- Artificial Intelligence 412
- Computer Vision and Pattern Recognition 138
- Computational Mathematics 3
- Health Informatics 6
Countries citing papers authored by Eunho Yang
This map shows the geographic impact of Eunho Yang'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 Eunho Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunho Yang more than expected).
Fields of papers citing papers by Eunho Yang
This network shows the impact of papers produced by Eunho Yang. 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 Eunho Yang. The network helps show where Eunho Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunho Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graphical Models via Generalized Linear Models | 2012 | 62 |
| 2 | Graphical Models via Univariate Exponential Family Distributions. | 2015 | 61 |
| 3 | 2021 | 44 | |
| 4 | Asymmetric multi-task learning based on task relatedness and loss | 2016 | 42 |
| 5 | On NDCG Consistency of Listwise Ranking Methods | 2011 | 39 |
| 6 | Mixed graphical models via exponential families | 2014 | 37 |
| 7 | 2021 | 37 | |
| 8 | Federated Continual Learning with Weighted Inter-client Transfer | 2021 | 29 |
| 9 | On Poisson Graphical Models | 2013 | 27 |
| 10 | Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning | 2021 | 18 |
| 11 | 2021 | 18 | |
| 12 | 2022 | 17 | |
| 13 | Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding | 2018 | 16 |
| 14 | Dirty Statistical Models | 2013 | 16 |
| 15 | 2016 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2016 | 12 | |
| 19 | Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning | 2018 | 11 |
| 20 | Elementary Estimators for High-Dimensional Linear Regression | 2014 | 11 |
About Eunho Yang
Eunho Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Computational Mechanics and Signal Processing, having authored 76 papers that have together received 714 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (19 papers), Statistical Methods and Inference (12 papers), Sparse and Compressive Sensing Techniques (8 papers), Bayesian Modeling and Causal Inference (8 papers), Machine Learning and Data Classification (7 papers), Speech Recognition and Synthesis (7 papers), Advanced Neural Network Applications (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Statistics and Probability (136 citations), Artificial Intelligence (412 citations), Computer Vision and Pattern Recognition (138 citations), Computational Mathematics (3 citations) and Health Informatics (6 citations). Eunho Yang has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Pradeep Ravikumar, Sung Ju Hwang, Genevera I. Allen, Zhandong Liu, Aurélie Lozano, Pradeep Ravikumar, Ambuj Tewari, Jinwoo Shin, Jaehong Yoon and Seung-Woo Seo. Their work appears in journals such as IEEE Access, Electronic Journal of Statistics, Journal of the Society for Information Display, Wiley Interdisciplinary Reviews Computational Statistics and BMC Systems Biology.
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.