About Kuilian Yang Kuilian Yang Ph.D. Student, Electrical and Computer Engineering High Performance Low Power Circuits noise-shaping differential SAR capacitance-digital converter neuromorphic computing Hardware acceleration Efficient AI edge computing low-latency architecture Events Presented Events May 10 - May 16, 2026 Efficient Spike Encoding for Sigma-Delta RF Receivers: An End-to-End Neuromorphic Radio Classification System Kuilian Yang, Ph.D. Student, Electrical and Computer Engineering May 12, 17:30 - 19:30 B2 R5209 automatic modulation classification cognitive wireless systems spiking neural networks edge computing FPGA accelerators sparse computation streaming dataflow FPGA This dissertation investigates efficient streaming Spiking Neural Network (SNN) accelerators for RF AMC through coordinated system, execution-model, and architectural co-design.
Efficient Spike Encoding for Sigma-Delta RF Receivers: An End-to-End Neuromorphic Radio Classification System Kuilian Yang, Ph.D. Student, Electrical and Computer Engineering May 12, 17:30 - 19:30 B2 R5209 automatic modulation classification cognitive wireless systems spiking neural networks edge computing FPGA accelerators sparse computation streaming dataflow FPGA This dissertation investigates efficient streaming Spiking Neural Network (SNN) accelerators for RF AMC through coordinated system, execution-model, and architectural co-design.
Engage LinkedIn IEEE Xplore ORCID KAUST Repository ShareClipboard Related Sites Electrical and Computer Engineering (ECE) Sensors (Sensors) Related Content Events 1
