Guanqun Song
Computer Science · The Ohio State University
Publications
26
Citations
527
Est. group size
—
Recurring co-author estimate
Active years
24
Publishing since 2003
Guanqun Song works on computer systems topics spanning cloud computing, edge/IoT computing, satellite and quantum communication, and data processing techniques such as parallel and distributed computation. Recent work explores security and efficiency issues in networked and distributed systems, including satellite-ground communication, 5G security, and machine learning for low-power secure communication. This research is largely systems-oriented, focusing on practical implementation and performance considerations rather than pure theory.
Publication output began in 2022 with a burst of activity, peaked in 2022-2023, and has continued at a lower but steady pace through 2024-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Stealthy Low Earth Orbit Satellite-To-Ground Quantum Communication
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2026
- Optimizing Global Quantum Communication via Satellite Constellations
arXiv (Cornell University) · 2024
- Heat: Satellite's meat is GPU's poison
arXiv (Cornell University) · 2024
- Data Classification With Multiprocessing
arXiv (Cornell University) · 2023
- Map-Reduce for Multiprocessing Large Data and Multi-threading for Data Scraping
arXiv (Cornell University) · 2023
- Design and Implementation Considerations for a Virtual File System Using an Inode Data Structure
arXiv (Cornell University) · 2023
- Security in 5G Networks -- How 5G networks help Mitigate Location Tracking Vulnerability
arXiv (Cornell University) · 2023
- Method of railway shunting operation sheet information extraction guided by table header
IET Intelligent Transport Systems · 2022
- Efficient Semantic Segmentation on Edge Devices
arXiv (Cornell University) · 2022
- Heterogeneous Computing Systems
arXiv (Cornell University) · 2022
- Security, Privacy and Challenges in Microservices Architecture and Cloud Computing- Survey
arXiv (Cornell University) · 2022
- ML-based Secure Low-Power Communication in Adversarial Contexts
arXiv (Cornell University) · 2022
- arXiv (Cornell University)×14
- IET Intelligent Transport Systems×1
- DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)×1
- Shivam Priya
Computer Science · The Ohio State University
- Alexander Fuerst
Computer Science · Indiana University
- Prateek Sharma
Computer Science · Indiana University
- Akshat Verma
Computer Science · Purdue University West Lafayette
- Deepak Nadig
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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