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Research: Neuromorphic Computing and AI Chip Design
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Memristors-based Neuromorphic Computing
Algorithms for Spiking Neural Networks and Loihi
Neuromorphic Computing in Communications
AI Chip Design
Neuromorphic Computing with FPGA
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Enabling Spectrum and Energy-Efficient Dynamic Spectrum Access Wireless Networks using Neuromorphic Computing (SPECEES)
Spatial Spectrum Sensing-Based Device-to-Device (D2D) Networks
RINGS: Learning-Enabled Ground and Air Integrated Networks (GAINs)
MLWiNS: Deep Neural Networks Meet Physical Layer Communications - Learning with Knowledge of Structure
SWIFT: Intelligent Dynamic Spectrum Access (IDEA): An Efficient Learning Approach to Enhancing Spectrum Utilization and Coexistence
Research: Network and Communication Security
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Research: Neuromorphic Computing and AI Chip Design
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