Ke Tang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Southern University of Science and Technologyas 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
- 0000-0002-6236-2002
- OpenAlex ID
- A5021254405, A5103431089, A5130380246, A5132828714, A5147551218as 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 103
Active learning from crowds with unsure option,
Adaptive Basis Direct Learning Method for Predistortion of RF Power Amplifier,
Adaptive inter-area oscillation damping controller for multi-machine power systems,
A dataset on odor intensity and odor pleasantness of 222 binary mixtures of 72 key food odorants rated by a sensory panel of 30 trained assessors,
A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation,
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms,
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization,
A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management
+95 more
← Authored by 103
Active learning from crowds with unsure option,
Adaptive Basis Direct Learning Method for Predistortion of RF Power Amplifier,
Adaptive inter-area oscillation damping controller for multi-machine power systems,
A dataset on odor intensity and odor pleasantness of 222 binary mixtures of 72 key food odorants rated by a sensory panel of 30 trained assessors,
A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation,
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms,
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization,
A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management
+95 more
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Summary
Ke Tang is a human[1].