Cho‐Jui Hsieh
Cho‐Jui Hsieh publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Adversarial Robustness in Machine Learning, Sparse and Compressive Sensing Techniques and Anomaly Detection Techniques and Applications.
- World rank
- #2,900 of 1,633,909 ranked researchers
- Rank in United States
- #1,343 of 358,040
- Works
- 127
- Citations
- 2.2k
- Citations per work
- 17.0
What does Cho‐Jui Hsieh research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence46% of their works
- 2Computer Vision and Pattern Recognition16% of their works
- 3Computational Mechanics7% of their works
- 4Statistical and Nonlinear Physics3% of their works
- 5Media Technology3% of their works
- 6Aerospace Engineering2% of their works
Research topics
Which keywords describe Cho‐Jui Hsieh's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Adversarial Examples, Robustness, Sparse Representation, Feature Selection, Compressed Sensing and Information Retrieval.
- Word Representation
- Machine Translation
- Naive Bayes Classifier
- Face Recognition
- Unsupervised
- Convolutional Neural Networks
- Text Classification
- Information Retrieval
- Feature Selection
- Robustness
- Neural Networks
- Deep Learning
- Adversarial Examples
- Sparse Representation
- Compressed Sensing
- Signal Recovery
- Anomaly Detection
- Image Recognition
- Dimensionality Reduction
- Multi-label Learning
- Domain Adaptation
- Transfer Learning
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 22 words, with their numbers
- Deep Learning313 topics
- Neural Networks293 topics
- Adversarial Examples191 topic
- Robustness191 topic
- Sparse Representation142 topics
- Feature Selection102 topics
- Compressed Sensing91 topic
- Information Retrieval92 topics
- Signal Recovery91 topic
- Text Classification92 topics
- Anomaly Detection61 topic
- Convolutional Neural Networks61 topic
- Image Recognition61 topic
- Unsupervised61 topic
- Dimensionality Reduction51 topic
- Face Recognition51 topic
- Multi-label Learning51 topic
- Naive Bayes Classifier51 topic
- Domain Adaptation41 topic
- Machine Translation41 topic
- Transfer Learning41 topic
- Word Representation41 topic
Where does Cho‐Jui Hsieh work?
Cho‐Jui Hsieh's main affiliation in the publication record is University of California, Los Angeles, United States.
How many publications and citations does Cho‐Jui Hsieh have?
Science Explorer counts 127 works and 2,157 citations for Cho‐Jui Hsieh, ranking #2,900 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.