Victor S. Sheng
Victor S. Sheng publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Advanced Graph Neural Networks and Machine Learning and Data Classification.
- World rank
- #153,116 of 1,633,909 ranked researchers
- Rank in United States
- #64,151 of 358,040
- Works
- 113
- Citations
- 635
- Citations per work
- 5.6
What does Victor S. Sheng research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence52% of their works
- 2Information Systems10% of their works
- 3Computer Vision and Pattern Recognition7% of their works
- 4Computer Networks and Communications6% of their works
- 5Computer Science Applications3% of their works
- 6Statistical and Nonlinear Physics2% of their works
Research topics
Which keywords describe Victor S. Sheng's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Classification, Semi-Supervised Learning, Collaborative Filtering, Information Retrieval, Matrix Factorization and Text Classification.
- Word Representation
- Multi-label Learning
- Feature Selection
- Unsupervised
- Imbalanced Data
- Noisy Labels
- Hyperparameter Optimization
- Text Classification
- Information Retrieval
- Semi-Supervised Learning
- Neural Networks
- Deep Learning
- Classification
- Collaborative Filtering
- Matrix Factorization
- Graph Neural Networks
- Knowledge Graph Embedding
- Anomaly Detection
- SMOTE
- Active Learning
- Machine Learning
- Machine Translation
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
- Deep Learning284 topics
- Neural Networks193 topics
- Classification142 topics
- Semi-Supervised Learning132 topics
- Collaborative Filtering91 topic
- Information Retrieval92 topics
- Matrix Factorization91 topic
- Text Classification92 topics
- Graph Neural Networks81 topic
- Hyperparameter Optimization81 topic
- Knowledge Graph Embedding81 topic
- Noisy Labels81 topic
- Anomaly Detection61 topic
- Imbalanced Data61 topic
- SMOTE61 topic
- Unsupervised61 topic
- Active Learning51 topic
- Feature Selection51 topic
- Machine Learning51 topic
- Multi-label Learning51 topic
- Machine Translation41 topic
- Word Representation41 topic
Where does Victor S. Sheng work?
Victor S. Sheng's main affiliation in the publication record is Texas Tech University, United States.
How many publications and citations does Victor S. Sheng have?
Science Explorer counts 113 works and 635 citations for Victor S. Sheng, ranking #153,116 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.
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.