Lin Xiao
Lin Xiao publishes mostly in Artificial Intelligence, Computational Mechanics and Management Science and Operations Research, on topics such as Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques and Advanced Bandit Algorithms Research.
- World rank
- #80,456 of 1,633,909 ranked researchers
- Rank in United States
- #35,827 of 358,040
- Works
- 31
- Citations
- 588
- Citations per work
- 19.0
What does Lin Xiao research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence33% of their works
- 2Computational Mechanics20% of their works
- 3Management Science and Operations Research14% of their works
- 4Statistics and Probability12% of their works
- 5Numerical Analysis6% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Sparse and Compressive Sensing Techniques
- Advanced Bandit Algorithms Research
- Statistical Methods and Inference
- Advanced Optimization Algorithms Research
- Machine Learning and Algorithms
- Markov Chains and Monte Carlo Methods
- Privacy-Preserving Technologies in Data
Which keywords describe Lin Xiao's research?
The keywords of their largest research topics: Convex Optimization, Approximation Algorithms, Deep Learning, Random Projections, Stochastic Gradient Descent, Compressed Sensing, Sparse Representation and Bandit Optimization.
- Differential Privacy
- Markov Chain
- Active Learning
- Optimization Software
- Variable Selection
- Model Selection
- Bandit Optimization
- Compressed Sensing
- Random Projections
- Approximation Algorithms
- Convex Optimization
- Deep Learning
- Stochastic Gradient Descent
- Sparse Representation
- Bayesian Optimization
- Regularization
- Machine Learning
- Semidefinite Programming
- Bayesian Monte Carlo
- Semi-Supervised Learning
- Federated 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 21 words, with their numbers
- Convex Optimization314 topics
- Approximation Algorithms142 topics
- Deep Learning142 topics
- Random Projections121 topic
- Stochastic Gradient Descent121 topic
- Compressed Sensing101 topic
- Sparse Representation101 topic
- Bandit Optimization61 topic
- Bayesian Optimization61 topic
- Model Selection62 topics
- Regularization41 topic
- Variable Selection41 topic
- Machine Learning32 topics
- Optimization Software31 topic
- Semidefinite Programming31 topic
- Active Learning21 topic
- Bayesian Monte Carlo21 topic
- Markov Chain21 topic
- Semi-Supervised Learning21 topic
- Differential Privacy11 topic
- Federated Learning11 topic
Where does Lin Xiao work?
Lin Xiao's main affiliation in the publication record is Microsoft (United States), United States.
How many publications and citations does Lin Xiao have?
Science Explorer counts 31 works and 588 citations for Lin Xiao, ranking #80,456 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 Lin Xiao
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- lin-xiao-nanchang-university
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- lin-xiao-huazhong-university-of-science-and-technology
- lin-xiao-nanjing-university-of-aeronautics-and-astronautics
- lin-xiao-nanjing-university
- lin-xiao-chinese-academy-of-sciences
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