Zhonglin Ye
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Nagasaki Institute of Applied Science, Qinghai Normal University, Qinghai Tibetan Hospitalas 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
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-2429-3325
- OpenAlex ID
- A5036982271, A5062397276, A5111783368, A5133254650as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 7
DeepMCGCN: Multi-channel Deep Graph Neural Networks,
Dual-channel deep graph convolutional neural networks,
Feature‐Based Graph Backdoor Attack in the Node Classification Task,
MASSFormer: Memory-Augmented Spectral-Spatial Transformer for Hyperspectral Image Classification,
Network representation based on the joint learning of three feature views,
Part-of-speech tagging based on dictionary and statistical machine learning,
Used Car Price Prediction Based on the Iterative Framework of XGBoost+LightGBM
← Authored by 7
DeepMCGCN: Multi-channel Deep Graph Neural Networks,
Dual-channel deep graph convolutional neural networks,
Feature‐Based Graph Backdoor Attack in the Node Classification Task,
MASSFormer: Memory-Augmented Spectral-Spatial Transformer for Hyperspectral Image Classification,
Network representation based on the joint learning of three feature views,
Part-of-speech tagging based on dictionary and statistical machine learning,
Used Car Price Prediction Based on the Iterative Framework of XGBoost+LightGBM
Affiliated with 3
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Summary
Zhonglin Ye is a human[1].