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DLAU: A Scalable Deep Learning Accelerator Unit on FPGA

IEEE transactions on computer-aided design of integrated circuits and systems, 2017-03, Vol.36 (3), p.513-517

2017

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A new distributional treatment for time series anomaly detection

The VLDB journal, 2024-05, Vol.33 (3), p.753-780

2024

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OctCNN: A High Throughput FPGA Accelerator for CNNs using Octave Convolution Algorithm

IEEE transactions on computers, 2021-09, p.1-1

2021

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Adsorption behavior of O2 on U–Nb surface: a first-principles study

Journal of molecular modeling, 2023-09, Vol.29 (9), p.275-275, Article 275

2023

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Expanding LTE network spectrum with cognitive radios: From concept to implementation

IEEE wireless communications, 2013-04, Vol.20 (2), p.12-19

2013

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Immersion and Invariance Manifold Adaptive Control of the DC-link Voltage in Flywheel Energy Storage System Discharge

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Sensor Alignment for Ballistic Trajectory Estimation via Sparse Regularization

Information (Basel), 2018-10, Vol.9 (10), p.255

2018

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Direction control and speed control combined model of motor-imagery based brain-actuated vehicle

2017 36th Chinese Control Conference (CCC), 2017, p.2210-2214

2017

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Link availability prediction with radio irregularity coverage for mobile multi-hop networks

IEEE communications letters, 2010-06, Vol.14 (6), p.518-520

2010

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Consumer free riding: Coordinating sales effort in a dual-channel supply chain

Electronic commerce research and applications, 2017-03, Vol.22, p.1-12

2017

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A Power-Efficient Accelerator Based on FPGAs for LSTM Network

2017 IEEE International Conference on Cluster Computing (CLUSTER), 2017, p.629-630

2017

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MALOC: A Fully Pipelined FPGA Accelerator for Convolutional Neural Networks With All Layers Mapped on Chip

IEEE transactions on computer-aided design of integrated circuits and systems, 2018-11, Vol.37 (11), p.2601-2612

2018

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A Ubiquitous Machine Learning Accelerator With Automatic Parallelization on FPGA

IEEE transactions on parallel and distributed systems, 2020-10, Vol.31 (10), p.2346-2359

2020

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WinoNN: Optimizing FPGA-Based Convolutional Neural Network Accelerators Using Sparse Winograd Algorithm

IEEE transactions on computer-aided design of integrated circuits and systems, 2020-11, Vol.39 (11), p.4290-4302

2020

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A Power-Efficient Accelerator for Convolutional Neural Networks

2017 IEEE International Conference on Cluster Computing (CLUSTER), 2017, p.631-632

2017

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Improving HW/SW Adaptability for Accelerating CNNs on FPGAs Through A Dynamic/Static Co-Reconfiguration Approach

IEEE transactions on parallel and distributed systems, 2021-07, Vol.32 (7), p.1854-1865

2021

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Making it safe: linking healthcare workers' social media use to task performance during public health crises

Industrial management + data systems, 2024-01, Vol.124 (2), p.761-785

2024

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A feasible incentive contract between a manufacturer and his fairness-sensitive retailer engaged in strategic marketing efforts

Journal of intelligent manufacturing, 2019-01, Vol.30 (1), p.193-206

2019

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An FPGA Based Accelerator for Clustering Algorithms With Custom Instructions

IEEE transactions on computers, 2021-05, Vol.70 (5), p.725-732

2021

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ViA: A Novel Vision-Transformer Accelerator Based on FPGA

IEEE transactions on computer-aided design of integrated circuits and systems, 2022-11, Vol.41 (11), p.1-1

2022

Volltextzugriff (PDF)

Deep Fusion Clustering Network With Reliable Structure Preservation

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.7792-7803

2024

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OmniGraph: A Scalable Hardware Accelerator for Graph Processing

2017 IEEE International Conference on Cluster Computing (CLUSTER), 2017, p.623-624

2017

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WooKong: A Ubiquitous Accelerator for Recommendation Algorithms With Custom Instruction Sets on FPGA

IEEE transactions on computers, 2020-07, Vol.69 (7), p.1071-1082

2020

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Conv-inheritance: A hardware-efficient method to compress convolutional neural networks for edge applications

Neurocomputing (Amsterdam), 2022-05, Vol.487, p.172-180

2022

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Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization

IEEE transactions on multimedia, 2023, Vol.25, p.993-1007

2023

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DLAU: A Scalable Deep Learning Accelerator Unit on FPGA

A new distributional treatment for time series anomaly detection

OctCNN: A High Throughput FPGA Accelerator for CNNs using Octave Convolution Algorithm

Adsorption behavior of O2 on U–Nb surface: a first-principles study

Expanding LTE network spectrum with cognitive radios: From concept to implementation

Immersion and Invariance Manifold Adaptive Control of the DC-link Voltage in Flywheel Energy Storage System Discharge

Sensor Alignment for Ballistic Trajectory Estimation via Sparse Regularization

Direction control and speed control combined model of motor-imagery based brain-actuated vehicle

Link availability prediction with radio irregularity coverage for mobile multi-hop networks

Consumer free riding: Coordinating sales effort in a dual-channel supply chain

A Power-Efficient Accelerator Based on FPGAs for LSTM Network

MALOC: A Fully Pipelined FPGA Accelerator for Convolutional Neural Networks With All Layers Mapped on Chip

A Ubiquitous Machine Learning Accelerator With Automatic Parallelization on FPGA

WinoNN: Optimizing FPGA-Based Convolutional Neural Network Accelerators Using Sparse Winograd Algorithm

A Power-Efficient Accelerator for Convolutional Neural Networks

Improving HW/SW Adaptability for Accelerating CNNs on FPGAs Through A Dynamic/Static Co-Reconfiguration Approach

Making it safe: linking healthcare workers' social media use to task performance during public health crises

A feasible incentive contract between a manufacturer and his fairness-sensitive retailer engaged in strategic marketing efforts

An FPGA Based Accelerator for Clustering Algorithms With Custom Instructions

ViA: A Novel Vision-Transformer Accelerator Based on FPGA

Deep Fusion Clustering Network With Reliable Structure Preservation

OmniGraph: A Scalable Hardware Accelerator for Graph Processing

WooKong: A Ubiquitous Accelerator for Recommendation Algorithms With Custom Instruction Sets on FPGA

Conv-inheritance: A hardware-efficient method to compress convolutional neural networks for edge applications

Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization

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