Fei Zhou
researcher ORCID: 0000-0001-9659-4648
Facts
7 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Lawrence Livermore National Laboratory (2013–present)[2]
- Educated at
- Massachusetts Institute of Technology (?–2006), University of Science and Technology of China (?–2001)[3][4]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Fei Zhou
🔖 Identifiers · 5
- ORCID iD
- 0000-0001-9659-4648
- OpenAlex ID
- A5100610923, A5130381740as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 84/5639-2
- INSPIRE-HEP author ID
- Fei.Zhou.1
- ResearcherID
- D-1938-2010
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
Adsorption and modification behavior of single atoms on the surface of single vacancy graphene: Machine learning accelerated first principle computations,
Compressive sensing lattice dynamics. I. General formalism,
Learning to Class-Adaptively Manipulate Embeddings for Few-Shot Learning,
Meta-hallucinating prototype for few-shot learning promotion,
Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory,
Prototype Matching Learning for Incomplete Multi-View Clustering,
Revisiting Prototypical Network for Cross Domain Few-Shot Learning,
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks
+1 more
← Authored by 9
Adsorption and modification behavior of single atoms on the surface of single vacancy graphene: Machine learning accelerated first principle computations,
Compressive sensing lattice dynamics. I. General formalism,
Learning to Class-Adaptively Manipulate Embeddings for Few-Shot Learning,
Meta-hallucinating prototype for few-shot learning promotion,
Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory,
Prototype Matching Learning for Incomplete Multi-View Clustering,
Revisiting Prototypical Network for Cross Domain Few-Shot Learning,
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks
+1 more
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Summary
Fei Zhou worked as a researcher[1].
Body
Education
Educated at Massachusetts Institute of Technology[3], a university[7], in United States[8], founded in 1861[9], headquartered in Cambridge[10] and University of Science and Technology of China[4], a university[11], in People's Republic of China[12], founded in 1958[13].
FAQs
What did Fei Zhou do for work?
Fei Zhou worked as researcher[1].
Where did Fei Zhou go to school?
Fei Zhou was educated at Massachusetts Institute of Technology[3] and University of Science and Technology of China[4].