Sijia Liu
Sijia Liu publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Adversarial Robustness in Machine Learning.
- World rank
- #755,355 of 1,633,909 ranked researchers
- Rank in United States
- #220,675 of 358,040
- Works
- 80
- Citations
- 198
- Citations per work
- 2.5
What does Sijia Liu research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence27% of their works
- 2Electrical and Electronic Engineering13% of their works
- 3Computer Vision and Pattern Recognition11% of their works
- 4Molecular Biology9% of their works
- 5Computational Mechanics6% of their works
- 6Computer Networks and Communications3% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Adversarial Robustness in Machine Learning
- Sparse and Compressive Sensing Techniques
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Distributed Sensor Networks and Detection Algorithms
Which keywords describe Sijia Liu's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Meta-Learning, Convolutional Neural Networks, Domain Adaptation, Image Recognition, Transfer Learning and Adversarial Examples.
- Unsupervised
- Noisy Labels
- Distributed Detection
- Anomaly Detection
- Compressed Sensing
- Adversarial Examples
- Image Recognition
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Meta-Learning
- Domain Adaptation
- Transfer Learning
- Robustness
- Sparse Representation
- Backpropagation Learning
- Hyperparameter Optimization
- Self-Organizing Maps
- Wireless Sensor Networks
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
- Deep Learning194 topics
- Neural Networks123 topics
- Meta-Learning102 topics
- Convolutional Neural Networks71 topic
- Domain Adaptation71 topic
- Image Recognition71 topic
- Transfer Learning71 topic
- Adversarial Examples61 topic
- Robustness61 topic
- Compressed Sensing51 topic
- Sparse Representation51 topic
- Anomaly Detection31 topic
- Backpropagation Learning31 topic
- Distributed Detection31 topic
- Hyperparameter Optimization31 topic
- Noisy Labels31 topic
- Self-Organizing Maps31 topic
- Unsupervised31 topic
- Wireless Sensor Networks31 topic
Where does Sijia Liu work?
Sijia Liu's main affiliation in the publication record is Michigan State University, United States.
How many publications and citations does Sijia Liu have?
Science Explorer counts 80 works and 198 citations for Sijia Liu, ranking #755,355 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 Sijia Liu
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