Wei Dai
Wei Dai publishes mostly in Artificial Intelligence, Computer Networks and Communications and Information Systems, on topics such as Stochastic Gradient Optimization Techniques, Cloud Computing and Resource Management and Hemoglobin structure and function.
- World rank
- #874,940 of 1,633,909 ranked researchers
- Rank in United States
- #242,462 of 358,040
- Works
- 18
- Citations
- 71
- Citations per work
- 3.9
What does Wei Dai research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence40% of their works
- 2Computer Networks and Communications12% of their works
- 3Information Systems8% of their works
- 4Computer Vision and Pattern Recognition8% of their works
- 5Cell Biology4% of their works
- 6Control and Systems Engineering4% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Cloud Computing and Resource Management
- Hemoglobin structure and function
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Educational Technology and Pedagogy
- Machine Learning in Healthcare
Which keywords describe Wei Dai's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Cloud Computing, Random Projections, Stochastic Gradient Descent, Big Data, Data Mining and Machine Learning.
- Transfer Learning
- Scavenger Receptor
- Healthcare
- Electronic Health Records
- Differential Privacy
- Anomaly Detection
- Machine Learning
- Big Data
- Random Projections
- Neural Networks
- Deep Learning
- Cloud Computing
- Stochastic Gradient Descent
- Data Mining
- MapReduce
- Artificial Intelligence
- Domain Adaptation
- Federated Learning
- Hemoglobin
- Teaching Evaluation
- 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 Learning64 topics
- Neural Networks42 topics
- Cloud Computing32 topics
- Random Projections31 topic
- Stochastic Gradient Descent31 topic
- Big Data21 topic
- Data Mining22 topics
- Machine Learning22 topics
- MapReduce21 topic
- Anomaly Detection11 topic
- Artificial Intelligence11 topic
- Differential Privacy11 topic
- Domain Adaptation11 topic
- Electronic Health Records11 topic
- Federated Learning11 topic
- Healthcare11 topic
- Hemoglobin11 topic
- Scavenger Receptor11 topic
- Teaching Evaluation11 topic
- Transfer Learning11 topic
- Unsupervised11 topic
Where does Wei Dai work?
Wei Dai's main affiliation in the publication record is Carnegie Mellon University, United States.
How many publications and citations does Wei Dai have?
Science Explorer counts 18 works and 71 citations for Wei Dai, ranking #874,940 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 Wei Dai
- wei-dai-technical-institute-of-physics-and-chemistry
- wei-dai-new-york-university
- wei-dai-chinese-academy-of-sciences
- wei-dai-beihang-university
- wei-dai-imperial-college-london
- wei-dai-zhejiang-normal-university
- wei-dai-china-university-of-mining-and-technology
- wei-dai-chongqing-university
- wei-dai-china-university-of-mining-and-technology-china
- wei-dai-chinese-academy-of-sciences-china
- wei-dai-beihang-university-china
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