Citation Impact
Citing Papers
ISAAC
2016
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
2019
Neural Epitome Search for Architecture-Agnostic Network Compression
2020
FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations.
2018
SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM
2019 Standout
Pruning by explaining: A novel criterion for deep neural network pruning
2021
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful
2020
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
2021 Standout
Industrial IoT for Intelligent Steelmaking With Converter Mouth Flame Spectrum Information Processed by Deep Learning
2019 Standout
Deep learning with coherent nanophotonic circuits
2017 Standout
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
2020 Standout
Deep Joint Source-Channel Coding for Wireless Image Transmission
2019 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
An Architecture to Accelerate Convolution in Deep Neural Networks
2017
Efficient Hardware Architectures for Deep Convolutional Neural Network
2017
The future of electronics based on memristive systems
2017 Standout
Autonomous concrete crack detection using deep fully convolutional neural network
2018 Standout
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
2019
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
2019
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
A CNN–LSTM model for gold price time-series forecasting
2020 Standout
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Embedded System Design
2010 Standout
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
2017 Standout
An Introduction to Deep Learning for the Physical Layer
2017 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Massively parallel probabilistic computing with sparse Ising machines
2022 StandoutNobel
Data and Hardware Efficient Design for Convolutional Neural Network
2017
A Reconfigurable Streaming Deep Convolutional Neural Network Accelerator for Internet of Things
2017
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
2020
Performance Optimization Using Partitioned SpMV on GPUs and Multicore CPUs
2014 Standout
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
2021 Standout
A Survey of Methods for Analyzing and Improving GPU Energy Efficiency
2014
Collaborative Edge Computing With FPGA-Based CNN Accelerators for Energy-Efficient and Time-Aware Face Tracking System
2021
Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA
2017
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review
2018
Deep neural networks to enable real-time multimessenger astrophysics
2018
Logically synthesized and hardware-accelerated restricted Boltzmann machines for combinatorial optimization and integer factorization
2022
Works of Ardavan Pedram being referenced
EIE
2016
Codesign Tradeoffs for High-Performance, Low-Power Linear Algebra Architectures
2012