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08/08/2023
Towards Automatic Scoring of Spinal X-ray for Ankylosing Spondylitis
Manually grading structural changes with the modified Stoke Ankylosing S...
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04/14/2023
LightRW: FPGA Accelerated Graph Dynamic Random Walks
Graph dynamic random walks (GDRWs) have recently emerged as a powerful p...
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04/04/2023
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy
DNA motif discovery is an important issue in gene research, which aims t...
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03/23/2023
Federated Learning for Metaverse: A Survey
The metaverse, which is at the stage of innovation and exploration, face...
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02/07/2023
VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray
Reliable vertebrae annotations are key to perform analysis of spinal X-r...
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11/27/2022
Federated Learning Attacks and Defenses: A Survey
In terms of artificial intelligence, there are several security and priv...
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09/27/2022
Contrast Pattern Mining: A Survey
Contrast pattern mining (CPM) is an important and popular subfield of da...
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08/29/2022
Fluorescence molecular optomic signatures improve identification of tumors in head and neck specimens
In this study, a radiomics approach was extended to optical fluorescence...
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07/22/2022
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation
Quantization for CNN has shown significant progress with the intention o...
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07/12/2022
VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images
Manual annotation of vertebrae on spinal X-ray imaging is costly and tim...
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03/05/2022
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
The use of FPGAs for efficient graph processing has attracted significan...
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12/28/2021
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation
Quantization for Convolutional Neural Network (CNN) has shown significan...
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10/26/2021
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
Performance of object detection models has been growing rapidly on two m...
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09/13/2021
Inferential Wasserstein Generative Adversarial Networks
Generative Adversarial Networks (GANs) have been impactful on many probl...
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08/04/2021
Free Lunch for Co-Saliency Detection: Context Adjustment
We unveil a long-standing problem in the prevailing co-saliency detectio...
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07/09/2021
WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs
The combination of Winograd's algorithm and systolic array architecture ...
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05/20/2021
ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs
In this paper, we propose ThundeRiNG, a resource-efficient and high-thro...
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05/11/2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration
The deep neural network (DNN) based AI applications on the edge require ...
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05/10/2021
Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS
FPGAs have become emerging computing infrastructures for accelerating ap...
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04/13/2021
MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank
Personalized PageRank (PPR) is a graph algorithm that evaluates the impo...
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10/14/2020
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
High quality AI solutions require joint optimization of AI algorithms, s...
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05/18/2020
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization
Quantization has been proven to be an effective method for reducing the ...
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05/18/2020
HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy
The pervasive adoption of Deep Learning (DL) and Graph Processing (GP) m...
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05/06/2020
TAG : Type Auxiliary Guiding for Code Comment Generation
Existing leading code comment generation approaches with the structure-t...
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05/06/2020
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
High quality AI solutions require joint optimization of AI algorithms an...
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04/25/2020
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization
Initialization is essential to monocular Simultaneous Localization and M...
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02/27/2020
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Transformer-based models pre-trained on large-scale corpora achieve stat...
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11/18/2019
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving
The rapidly growing demands for powerful AI algorithms in many applicati...
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05/20/2019
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
Developing deep learning models for resource-constrained Internet-of-Thi...
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10/30/2018
Data Poisoning Attack against Unsupervised Node Embedding Methods
Unsupervised node embedding methods (e.g., DeepWalk, LINE, and node2vec)...
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05/27/2016