10 Result(s)
within
Computer Science
Computer Systems Organization and Communication Networks
**ngli Li
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Chapter and Conference Paper
DSAM-GN: Graph Network Based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification
In recent years, vehicle re-identification (Re-ID) has gained increasing importance in various applications such as assisted driving systems, traffic flow management, and vehicle tracking, due to the growth of...
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Article
FASS-pruner: customizing a fine-grained CNN accelerator-aware pruning framework via intra-filter splitting and inter-filter shuffling
Nowadays, with the increasing depth of CNNs, the number of computation and storage requirements with weights expands significantly, preventing their wide deployment on resource-constrained application scenario...
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Chapter and Conference Paper
A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries
Hyperspectral imaging can rapid and non-destructive monitor physical characteristics and intrinsic chemical information of food. In recent years, many studies have applied hyperspectral imaging to evaluate the...
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Chapter and Conference Paper
Compiler-Assisted Operator Template Library for DNN Accelerators
Despite many dedicated accelerators are gaining popularity for their performance and energy efficiency in the deep neural network (DNN) domain, high-level programming support for these accelerators remains thi...
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Chapter and Conference Paper
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs
Accelerating the deep learning inference is very important for real-time applications. In this paper, we propose a novel method to fuse the layers of convolutional neural networks (CNNs) on Graphics Processing...
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Chapter and Conference Paper
Multi-objective Dynamic Scheduling Model of Flexible Job Shop Based on NSGAII Algorithm and Scroll Window Technology
The production process is often accompanied by a lot of disturbances, which make it difficult for flexible job shop to execute production according to the original job plan. It is necessary to dynamically adju...
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Chapter and Conference Paper
XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips
In this paper, we present XDN, an optimization and inference engine for accelerating residual neural networks on Cambricon chips. We leverage a channel pruning method to compress the weights of ResNet-50. By ...
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Chapter and Conference Paper
SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images
Fetal standard plane recognition is a crucial clinical part of prenatal diagnosis. However, it is also a sophisticated, subjective, and highly empirical process. Thus, there is a huge demand for proposing an ...
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Chapter and Conference Paper
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Recently, deep neural networks (DNNs) have been widely applied in mobile intelligent applications. The inference for the DNNs is usually performed in the cloud. However, it leads to a large overhead of transmi...
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Chapter and Conference Paper
Fast CNN Pruning via Redundancy-Aware Training
The heavy storage and computational overheads have become a hindrance to the deployment of modern Convolutional Neural Networks (CNNs). To overcome this drawback, many works have been proposed to exploit redun...
