Jing Shao
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Beijing Academy of Artificial Intelligence, Shanghai Artificial Intelligence Laboratoryas 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
- 0000-0003-3521-6744
- OpenAlex ID
- A5023198186as 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 34
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization,
A Hidden Markov Model for Urban-Scale Traffic Estimation Using Floating Car Data,
An improved artificial bee colony algorithm for optimal land-use allocation,
An Improved CycleGAN for Data Augmentation in Person Re-Identification,
BlockQNN: Efficient Block-Wise Neural Network Architecture Generation,
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval,
Crowded Scene Understanding by Deeply Learned Volumetric Slices,
Deep learning architecture for air quality predictions
+26 more
← Authored by 34
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization,
A Hidden Markov Model for Urban-Scale Traffic Estimation Using Floating Car Data,
An improved artificial bee colony algorithm for optimal land-use allocation,
An Improved CycleGAN for Data Augmentation in Person Re-Identification,
BlockQNN: Efficient Block-Wise Neural Network Architecture Generation,
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval,
Crowded Scene Understanding by Deeply Learned Volumetric Slices,
Deep learning architecture for air quality predictions
+26 more
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Summary
Jing Shao is a human[1].