Sangyoon Oh
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Suwon, Ajou Universityas 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
- 0000-0001-5854-149X
- OpenAlex ID
- A5003540648as 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
📚 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
A 2.2 NEF Neural-Recording Amplifier Using Discrete-Time Parametric Amplification,
Achieving Balanced Load Distribution with Reinforcement Learning-Based Switch Migration in Distributed SDN Controllers,
A dynamic task offloading algorithm based on greedy matching in vehicle network,
AMBLE: Adjusting mini-batch and local epoch for federated learning with heterogeneous devices,
Integrate multi-agent simulation environment and multi-agent reinforcement learning (MARL) for real-world scenario,
Investigation on performance and energy efficiency of CNN-based object detection on embedded device,
Lightweight Single Image Super-resolution with Dense Connection Distillation Network,
User Preference-Based Hierarchical Offloading for Collaborative Cloud-Edge Computing
+1 more
← Authored by 9
A 2.2 NEF Neural-Recording Amplifier Using Discrete-Time Parametric Amplification,
Achieving Balanced Load Distribution with Reinforcement Learning-Based Switch Migration in Distributed SDN Controllers,
A dynamic task offloading algorithm based on greedy matching in vehicle network,
AMBLE: Adjusting mini-batch and local epoch for federated learning with heterogeneous devices,
Integrate multi-agent simulation environment and multi-agent reinforcement learning (MARL) for real-world scenario,
Investigation on performance and energy efficiency of CNN-based object detection on embedded device,
Lightweight Single Image Super-resolution with Dense Connection Distillation Network,
User Preference-Based Hierarchical Offloading for Collaborative Cloud-Edge Computing
+1 more
Affiliated with 3
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Summary
Sangyoon Oh is a human[1].