Qing Qu
Qing Qu publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as Domain Adaptation and Few-Shot Learning, Generative Adversarial Networks and Image Synthesis and Sparse and Compressive Sensing Techniques.
- World rank
- #918,056 of 1,633,909 ranked researchers
- Rank in United States
- #250,116 of 358,040
- Works
- 30
- Citations
- 82
- Citations per work
- 2.7
What does Qing Qu research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition31% of their works
- 2Artificial Intelligence18% of their works
- 3Computational Mechanics10% of their works
- 4Electrical and Electronic Engineering5% of their works
- 5Aerospace Engineering3% of their works
- 6Media Technology3% of their works
Research topics
Which keywords describe Qing Qu's research?
The keywords of their largest research topics: Deep Learning, Representation Learning, Unsupervised Learning, Neural Networks, Compressed Sensing, Convolutional Neural Networks, Domain Adaptation and Generative Adversarial Networks.
- Machine Translation
- Deep Neural Networks
- Acoustic Modeling
- Medical Image Analysis
- Image Recognition
- Sparse Representation
- Generative Adversarial Networks
- Convolutional Neural Networks
- Neural Networks
- Representation Learning
- Deep Learning
- Unsupervised Learning
- Compressed Sensing
- Domain Adaptation
- Image Synthesis
- Transfer Learning
- Image Segmentation
- Object Detection
- Bioimage Analysis
- High-Content Screening
- Word Representation
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 21 words, with their numbers
- Deep Learning84 topics
- Representation Learning62 topics
- Unsupervised Learning62 topics
- Neural Networks42 topics
- Compressed Sensing31 topic
- Convolutional Neural Networks32 topics
- Domain Adaptation31 topic
- Generative Adversarial Networks31 topic
- Image Synthesis31 topic
- Sparse Representation31 topic
- Transfer Learning31 topic
- Image Recognition21 topic
- Image Segmentation21 topic
- Medical Image Analysis21 topic
- Object Detection21 topic
- Acoustic Modeling11 topic
- Bioimage Analysis11 topic
- Deep Neural Networks11 topic
- High-Content Screening11 topic
- Machine Translation11 topic
- Word Representation11 topic
Where does Qing Qu work?
Qing Qu's main affiliation in the publication record is Columbia University, United States.
How many publications and citations does Qing Qu have?
Science Explorer counts 30 works and 82 citations for Qing Qu, ranking #918,056 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.
Other researchers named Qing Qu
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