Hyokun Yun
Hyokun Yun publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Water Science and Technology, on topics such as Topic Modeling, Natural Language Processing Techniques and Speech and dialogue systems.
- World rank
- #1,342,904 of 1,633,909 ranked researchers
- Rank in United States
- #317,286 of 358,040
- Works
- 17
- Citations
- 34
- Citations per work
- 2.0
What does Hyokun Yun research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence76% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Water Science and Technology5% of their works
- 4Information Systems5% of their works
Research topics
Which keywords describe Hyokun Yun's research?
The keywords of their largest research topics: Neural Networks, Word Representation, Deep Neural Networks, Markov Decision Processes, Meta-Learning, Neural Machine Translation, Representation Learning and Semi-Supervised Learning.
- Transfer Learning
- Noisy Labels
- Knowledge Graph Embedding
- Hyperparameter Optimization
- Domain Adaptation
- Statistical Machine Translation
- Semi-Supervised Learning
- Neural Machine Translation
- Markov Decision Processes
- Word Representation
- Neural Networks
- Deep Neural Networks
- Meta-Learning
- Representation Learning
- Spoken Dialogue Systems
- Artificial Intelligence
- Graph Neural Networks
- Interpretable Models
- Machine Learning Interpretability
- Service Robots
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 20 words, with their numbers
- Neural Networks51 topic
- Word Representation51 topic
- Deep Neural Networks22 topics
- Markov Decision Processes21 topic
- Meta-Learning22 topics
- Neural Machine Translation21 topic
- Representation Learning22 topics
- Semi-Supervised Learning22 topics
- Spoken Dialogue Systems21 topic
- Statistical Machine Translation21 topic
- Artificial Intelligence11 topic
- Domain Adaptation11 topic
- Graph Neural Networks11 topic
- Hyperparameter Optimization11 topic
- Interpretable Models11 topic
- Knowledge Graph Embedding11 topic
- Machine Learning Interpretability11 topic
- Noisy Labels11 topic
- Service Robots11 topic
- Transfer Learning11 topic
Where does Hyokun Yun work?
Hyokun Yun's main affiliation in the publication record is Amazon (United States), United States.
How many publications and citations does Hyokun Yun have?
Science Explorer counts 17 works and 34 citations for Hyokun Yun, ranking #1,342,904 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.