Kun Yuan
Kun Yuan publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computational Mechanics, on topics such as Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques and Distributed Control Multi-Agent Systems.
- World rank
- #753,426 of 1,633,909 ranked researchers
- Rank in Switzerland
- #11,947 of 19,404
- Works
- 56
- Citations
- 195
- Citations per work
- 3.5
What does Kun Yuan research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence34% of their works
- 2Computer Networks and Communications19% of their works
- 3Computational Mechanics10% of their works
- 4Computer Vision and Pattern Recognition8% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Mechanical Engineering3% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Sparse and Compressive Sensing Techniques
- Distributed Control Multi-Agent Systems
- Machine Learning and ELM
- Distributed Sensor Networks and Detection Algorithms
- Advanced Neural Network Applications
- Neural Networks and Applications
- Target Tracking and Data Fusion in Sensor Networks
Which keywords describe Kun Yuan's research?
The keywords of their largest research topics: Convex Optimization, Neural Networks, Deep Learning, Random Projections, Stochastic Gradient Descent, Compressed Sensing, Sparse Representation and Consensus.
- Particle Filters
- Backpropagation Learning
- Image Recognition
- Convolutional Neural Networks
- Extreme Learning Machine
- Consensus
- Compressed Sensing
- Random Projections
- Neural Networks
- Convex Optimization
- Deep Learning
- Stochastic Gradient Descent
- Sparse Representation
- Multi-Agent Systems
- Feedforward Networks
- Distributed Detection
- Wireless Sensor Networks
- Nonlinear Estimation
- Self-Organizing Maps
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 19 words, with their numbers
- Convex Optimization212 topics
- Neural Networks193 topics
- Deep Learning173 topics
- Random Projections121 topic
- Stochastic Gradient Descent121 topic
- Compressed Sensing91 topic
- Sparse Representation91 topic
- Consensus81 topic
- Multi-Agent Systems81 topic
- Extreme Learning Machine51 topic
- Feedforward Networks51 topic
- Convolutional Neural Networks31 topic
- Distributed Detection31 topic
- Image Recognition31 topic
- Wireless Sensor Networks31 topic
- Backpropagation Learning21 topic
- Nonlinear Estimation21 topic
- Particle Filters21 topic
- Self-Organizing Maps21 topic
Where does Kun Yuan work?
Kun Yuan's main affiliation in the publication record is École Polytechnique Fédérale de Lausanne, Switzerland.
How many publications and citations does Kun Yuan have?
Science Explorer counts 56 works and 195 citations for Kun Yuan, ranking #753,426 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 Kun Yuan
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