Bin Gu
Bin Gu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change, on topics such as Stochastic Gradient Optimization Techniques, Machine Learning and ELM and Face and Expression Recognition.
- World rank
- #691,826 of 1,633,909 ranked researchers
- Rank in United States
- #208,138 of 358,040
- Works
- 50
- Citations
- 141
- Citations per work
- 2.8
What does Bin Gu research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence36% of their works
- 2Computer Vision and Pattern Recognition16% of their works
- 3Global and Planetary Change7% of their works
- 4Computational Mechanics5% of their works
- 5Atmospheric Science3% of their works
- 6Information Systems3% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Machine Learning and ELM
- Face and Expression Recognition
- Advanced Neural Network Applications
- Sparse and Compressive Sensing Techniques
- Advanced Computational Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
Which keywords describe Bin Gu's research?
The keywords of their largest research topics: Neural Networks, Convex Optimization, Deep Learning, Classification, Sparse Representation, Extreme Learning Machine, Feedforward Networks and Random Projections.
- Wavelet Analysis
- Noisy Labels
- Expert Systems
- Signal Recovery
- Convolutional Neural Networks
- Meta-Learning
- Dimensionality Reduction
- Random Projections
- Extreme Learning Machine
- Classification
- Convex Optimization
- Neural Networks
- Deep Learning
- Sparse Representation
- Feedforward Networks
- Stochastic Gradient Descent
- Face Recognition
- Compressed Sensing
- Image Recognition
- Domain Adaptation
- Hyperparameter Optimization
- 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
- Neural Networks122 topics
- Convex Optimization92 topics
- Deep Learning92 topics
- Classification82 topics
- Sparse Representation82 topics
- Extreme Learning Machine61 topic
- Feedforward Networks61 topic
- Random Projections61 topic
- Stochastic Gradient Descent61 topic
- Dimensionality Reduction51 topic
- Face Recognition51 topic
- Meta-Learning42 topics
- Compressed Sensing31 topic
- Convolutional Neural Networks31 topic
- Image Recognition31 topic
- Signal Recovery31 topic
- Domain Adaptation21 topic
- Expert Systems21 topic
- Hyperparameter Optimization21 topic
- Noisy Labels21 topic
- Transfer Learning21 topic
- Wavelet Analysis21 topic
Where does Bin Gu work?
Bin Gu's main affiliation in the publication record is University of Pittsburgh, United States.
How many publications and citations does Bin Gu have?
Science Explorer counts 50 works and 141 citations for Bin Gu, ranking #691,826 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 Bin Gu
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