Guanghao Jin
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View article: EEG-Based Seizure Detection Using Dual-Branch CNN-ViT Network Integrating Phase and Power Spectrograms
EEG-Based Seizure Detection Using Dual-Branch CNN-ViT Network Integrating Phase and Power Spectrograms Open
Background/Objectives: Epilepsy is a common neurological disorder with pathological mechanisms closely associated with the spatiotemporal dynamic characteristics of electroencephalogram (EEG) signals. Although significant progress has been…
View article: Constructions of codebooks based on additive characters
Constructions of codebooks based on additive characters Open
View article: PEMD: Pose Estimation on Multiple Domains Including Human and Animal
PEMD: Pose Estimation on Multiple Domains Including Human and Animal Open
View article: Textual Classification on Multiple Domains by Weighted Fusion of Multiple Models
Textual Classification on Multiple Domains by Weighted Fusion of Multiple Models Open
Text classification is an important task in the natural language processing while the increased number of samples from multiple domains may reduce the accuracy of the classification. In this paper, we proposed a novel method that can class…
View article: Design and Implementation of Convolutional Neural Networks Accelerator Based on Multidie
Design and Implementation of Convolutional Neural Networks Accelerator Based on Multidie Open
To achieve real-time object detection tasks with high throughput and low latency, this paper proposes a multi-die hardware accelerator architecture. It implements three accelerators on the VU9P chip, each of which is bound to an independen…
View article: The Optimization of Multi-classifier Ensemble Method Based on Dynamic Weighted Voting
The Optimization of Multi-classifier Ensemble Method Based on Dynamic Weighted Voting Open
Generally, on the same data set, different deep learning classification models will achieve different performances. The existing weighted voting method can combine the results of models, which can improve the performance of classification.…
View article: Environment Adaptive Deep Learning Classification System Based on One-shot Guidance
Environment Adaptive Deep Learning Classification System Based on One-shot Guidance Open
When utilizing the deep learning models in some real applications, the distribution of the labels in the environment can be used to increase the accuracy. Generally, to compute this distribution, there should be the validation set that is …
View article: The Classification of Multi‐Domain Samples Based on the Cooperation of Multiple Models
The Classification of Multi‐Domain Samples Based on the Cooperation of Multiple Models Open
This article proposed a novel classification framework that can classify the samples of multiple domains based on the outputs of multiple models. Different from the existing methods that train single model on all domains, our framework tra…
View article: Improving the Performance of Deep Learning Model‐Based Classification by the Analysis of Local Probability
Improving the Performance of Deep Learning Model‐Based Classification by the Analysis of Local Probability Open
Generally, the performance of deep learning‐based classification models is highly related to the captured features of training samples. When a sample is not clear or contains a similar number of features of many objects, we cannot easily c…
View article: Referring expression comprehension model with matching detection and linguistic feedback
Referring expression comprehension model with matching detection and linguistic feedback Open
The task of referring expression comprehension (REC) is to localise an image region of a specific object described by a natural language expression, and all existing REC methods assume that the object described by the referring expression …
View article: Table of Contents
Table of Contents Open