U Kang
researcher (ORCID 0000-0002-8774-6950)
Facts
10 properties- Instance of
- human
- Country of citizenship
- South Korea[2]
- Occupation
- researcher
- Employer
- Seoul National University[3]
- Educated at
- Carnegie Mellon University (?–2012)[4]
- Doctoral advisor
- Christos Faloutsos[5]
- Given name
- Yu[8]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en U Kang
ko 강유
🔖 Identifiers · 7
- ORCID iD
- 0000-0002-8774-6950
- OpenAlex ID
- A5074561505, A5124083003, A5124342392, A5126098844, A5134687666as 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
- 13/7122
- Facebook username
- yulguang
- Google Scholar author ID
- NVTb6RYAAAAJ
- IEEE Xplore author ID
- 37085655621
- LinkedIn personal profile ID
- ukang
📚 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 34
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge,
Accurate Graph-Based PU Learning without Class Prior,
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts,
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder,
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values,
Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values,
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets,
An Optimized DBN-based Coronary Heart Disease Risk Prediction
+26 more
← Authored by 34
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge,
Accurate Graph-Based PU Learning without Class Prior,
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts,
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder,
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values,
Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values,
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets,
An Optimized DBN-based Coronary Heart Disease Risk Prediction
+26 more
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