Yu Mao
Yu Mao publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Advanced Graph Neural Networks, Machine Learning and Data Classification and Imbalanced Data Classification Techniques.
- World rank
- #449,235 of 1,633,909 ranked researchers
- Rank in United States
- #153,972 of 358,040
- Works
- 27
- Citations
- 112
- Citations per work
- 4.1
What does Yu Mao research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence24% of their works
- 2Computer Vision and Pattern Recognition18% of their works
- 3Computer Networks and Communications12% of their works
- 4Signal Processing9% of their works
- 5Biomedical Engineering6% of their works
- 6Electrical and Electronic Engineering6% of their works
Research topics
- Advanced Graph Neural Networks
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Video Coding and Compression Technologies
- Anomaly Detection Techniques and Applications
- Machine Learning and Algorithms
- Cellular Automata and Applications
- Network Security and Intrusion Detection
Which keywords describe Yu Mao's research?
The keywords of their largest research topics: Deep Learning, Classification, Semi-Supervised Learning, Anomaly Detection, Graph Neural Networks, H.264/AVC, Hyperparameter Optimization and Imbalanced Data.
- Outlier Detection
- Intrusion Detection
- Computation
- Active Learning
- SMOTE
- Machine Learning
- Imbalanced Data
- H.264/AVC
- Anomaly Detection
- Classification
- Deep Learning
- Semi-Supervised Learning
- Graph Neural Networks
- Hyperparameter Optimization
- Knowledge Graph Embedding
- Noisy Labels
- Video Coding
- Cellular Automata
- Gaussian Processes
- Network Security
- Unsupervised
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 Learning54 topics
- Classification42 topics
- Semi-Supervised Learning32 topics
- Anomaly Detection22 topics
- Graph Neural Networks21 topic
- H.264/AVC21 topic
- Hyperparameter Optimization21 topic
- Imbalanced Data21 topic
- Knowledge Graph Embedding21 topic
- Machine Learning22 topics
- Noisy Labels21 topic
- SMOTE21 topic
- Video Coding21 topic
- Active Learning11 topic
- Cellular Automata11 topic
- Computation11 topic
- Gaussian Processes11 topic
- Intrusion Detection11 topic
- Network Security11 topic
- Outlier Detection11 topic
- Unsupervised11 topic
Where does Yu Mao work?
Yu Mao's main affiliation in the publication record is University of California, Los Angeles, United States.
How many publications and citations does Yu Mao have?
Science Explorer counts 27 works and 112 citations for Yu Mao, ranking #449,235 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 Yu Mao
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.