Skip to main content
Duke University »
Search
Research
Machine Learning & Deep Neural Network
Federated Learning
Neuromorphic Computing
Prosperity: Accelerating Spiking Neural Networks via Product Sparsity
Emerging Nonvolatile Memory & Logic
ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM
Electronic Design Automation
A Survey of Research in Large Language Models for Electronic Design Automation
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers
Embedded and Mobile Systems
Mambas: Maneuvering Analog Multi-User Beamforming using an Array of Subarrays in mmWave Networks
Swirls: Sniffing Wi-Fi Using Radios with Low Sampling Rates
People
Current Members
Alumni
Publications
News
Contact
Menu
Main menu
Research
More "Research" pages
Machine Learning & Deep Neural Network
Neuromorphic Computing
Emerging Nonvolatile Memory & Logic
Electronic Design Automation
Embedded and Mobile Systems
People
More "People" pages
Current Members
Alumni
Publications
News
Contact
Publications
Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2022
DOI
10.1109/TCSI.2022.3219319
Year
2022
Research
Machine Learning & Deep Neural Network
Federated Learning
Neuromorphic Computing
Prosperity: Accelerating Spiking Neural Networks via Product Sparsity
Emerging Nonvolatile Memory & Logic
ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM
Electronic Design Automation
A Survey of Research in Large Language Models for Electronic Design Automation
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers
Embedded and Mobile Systems
Mambas: Maneuvering Analog Multi-User Beamforming using an Array of Subarrays in mmWave Networks
Swirls: Sniffing Wi-Fi Using Radios with Low Sampling Rates
People
Current Members
Alumni
Publications
News
Contact
