4 papers
A Heterogeneous Neural Network Accelerator for End-to-End Multitask RF Signal Recognition
Zhifan Song, Haralampos-G. Stratigopoulos, Hassan Aboushady
This paper presents a heterogeneous neural network accelerator for multi-task RF signal recognition, supporting automatic modulation recognition (AMR), hardware-Trojan covert chann…
Edge-Efficient Transformer for End-to-End RF Spectrum Monitoring
Zhifan Song, Haralampos-G. Stratigopoulos, Hassan Aboushady
We present E-SpecFormer (Edge Spectrum monitoring Transformer) for end-to-end automatic modulation and covert channel (CC) recognition. We introduce LiTAN (Linear Tanh Attention Ne…
Self-signals Driven Multi-LLM Debate for Efficient and Accurate Reasoning
Xuhang Chen, Zhifan Song, Deyi Ji +2
Large Language Models (LLMs) have exhibited impressive capabilities across diverse application domains. Recent work has explored Multi-LLM Agent Debate (MAD) as a way to enhance pe…
EDNet: Edge-Optimized Small Target Detection in UAV Imagery -- Faster Context Attention, Better Feature Fusion, and Hardware Acceleration
Zhifan Song, Yuan Zhang, Abd Al Rahman M. Abu Ebayyeh
Detecting small targets in drone imagery is challenging due to low resolution, complex backgrounds, and dynamic scenes. We propose EDNet, a novel edge-target detection framework bu…