Show Menu
Hide Menu
Home
About
Organisation charts
Organisation
Direction
Administration
IT Service
Scientific Board
Governing Board
PhD Board
Teaching
Scientific Mediation
Our charters and commitments
Location & Contact
Research
Axes & Teams
Publications
Projects
ERC Projects
European Projects
PEPR Projects
ANR Projects
PIA & PostGenAI@Paris Projets
Activity reports
Valorisation
Our skills
Work with us
Software
Patents
Start-ups
Staff directory
Colloquium
🔒
📫
🇬🇧
🇫🇷
🇬🇧
-
Computer Science Laboratory
Sorbonne Université - CNRS UMR 7606
Sorbonne Universté
Centre National de la Recherche Scientifique
LIP6 supports the Pink October campaign for breast cancer awareness.
Staff directory
SONG Zhifan
Engineer, Sorbonne Université
Team :
CIAN
Departure date : 01/23/2026
2025-2026 Publications
All
Articles
Communications
2026
Zh. Song, Haralampos‑G. Stratigopoulos, H. Aboushady
: “
A Heterogeneous Neural Network Accelerator for End-to-End Multitask RF Signal Recognition
”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, pp. 1-14, (IEEE) (2026)
Zh. Song, B. Song, Abd Al Rahman M. Abu Ebayyeh
: “
LNA-Net: Enhancing detection and classification of benign and malignant pulmonary nodules in CT scans
”, Biomedical Signal Processing and Control, vol. 117, pp. 109505, (Elsevier) (2026)
Zh. Song, Haralampos‑G. Stratigopoulos, H. Aboushady
: “
Edge-Efficient Transformer for End-to-End RF Spectrum Monitoring
”, IEEE Transactions on Circuits and Systems II: Express Briefs, (Institute of Electrical and Electronics Engineers) (2026)
2025
Zh. Song, Abd Al Rahman M. Abu Ebayyeh
: “
Learning from synthesized data for quality assurance in open-source microcontroller manufacturing
”, Measurement - Journal of the International Measurement Confederation (IMEKO), vol. 253, pp. 117490, (Elsevier) (2025)
Zh. Song, A. Emad Abdelazim, P. Bazargan‑Sabet, F. Wajsbürt, Haralampos‑G. Stratigopoulos, H. Aboushady
: “
A Power-Efficient Attention-Infused CNN Hardware Accelerator for RF Spectrum Monitoring
”, IEEE International Symposium on Circuits and Systems, London, United Kingdom (2025)
Zh. Song, Y. Zhang, Abd Al Rahman M. Abu Ebayyeh
: “
EDNet: Edge-Optimized Small Target Detection in UAV Imagery - Faster Context Attention, Better Feature Fusion, and Hardware Acceleration
”, 21
st
IEEE International Conference on Ubiquitous Intelligence and Computing (UIC) - 2024 IEEE Smart World Congress (SWC), Nadi, Fiji, pp. 829-838, (IEEE), (ISBN: 979-8-3315-2086-1) (2025)