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检索条件"机构=Key Laboratory of Signal Detection and Processing"
195 条 记 录,以下是71-80 订阅
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Unsupervised Domain Adaptive Learning for Image Desnowing with Real-World Data
Unsupervised Domain Adaptive Learning for Image Desnowing wi...
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IEEE International Conference on Image processing
作者: Jingxu Ren Gang Zhou Yusen Zhu Yangxin Liu Juan Chen Zhenhong Jia Key Laboratory of Signal Detection and Processing Xinjiang University Urumqi China
Snow images usually contain snow grains, snow streaks, and mist, which greatly affect the visibility of images. Currently, supervised learning with synthetic data often faces limitations when it comes to handling real...
来源: 评论
Improved Self-Consistency Training with Selective Feature Fusion for Sound Event detection
Improved Self-Consistency Training with Selective Feature Fu...
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IEEE International Conference on Information Communication and signal processing (ICICSP)
作者: Mingyu Wang Yunlong Li Ying Hu Key Laboratory of signal detection and processing Xinjiang University Urumqi China
Sound event detection (SED) is a joint task of identifying the categories and time boundaries of sound events within an audio clip. In this paper, we propose an improved self-consistency training (ISCT) strategy for s...
来源: 评论
A Rumor detection Method Incorporating Correlation Features  3
A Rumor Detection Method Incorporating Correlation Features
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3rd International Conference on Pattern Recognition and Machine Learning, PRML 2022
作者: Cai, Xiangsheng Tohti, Turdi Hamdulla, Askar Xinjiang University of China Xinjiang Key Laboratory of Signal Detection and Processing School of Information Science and Engineering Urumqi830017 China
Most of the rumors on social media (e.g., Twitter) revolve around a certain domain or topic, which means that they want to express roughly the same meaning, only the way of expression or the words used are different. ... 详细信息
来源: 评论
Fast Sampling Based on Policy Gradient for Diffusion-Based Speech Enhancement
Fast Sampling Based on Policy Gradient for Diffusion-Based S...
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International Symposium on Chinese Spoken Language processing
作者: Yubo Jiang Zhihua Huang School of Computer Science and Technology Xinjiang University Xinjiang Key Laboratory of Signal Detection and Processing Urumqi
The effectiveness of diffusion-based generative models in speech enhancement tasks has been reported. These generative methods can produce high-quality audio with less distortions and outperform their discriminative c... 详细信息
来源: 评论
RoPE-BAM: Nested Entity Recognition Based on Rotary Position Embedding and Biaffine Attention Mechanism  3
RoPE-BAM: Nested Entity Recognition Based on Rotary Position...
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3rd International Conference on Advanced Algorithms and Neural Networks, AANN 2023
作者: Deng, Jinxin Qin, Xizhong Yang, Rong Lv, Xiaoyi School of Information Science and Engineering Xinjiang University of China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China The Fifth Affiliated Hospital of Xinjiang Medical Urumqi830017 China
Named entity recognition (NER) involves two main types: nested NER and flat NER. The span-based approach classifies entity types by head-tail pair span representations and can handle nested and flat entities uniformly... 详细信息
来源: 评论
Log anomaly detection based on parallel fusion of CNN and GRU
Log anomaly detection based on parallel fusion of CNN and GR...
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International Joint Conference on Neural Networks (IJCNN)
作者: Cheng Li Jiaqing Mo Gang Zhou Guangming Li Xinjiang Key Laboratory of Signal Detection and Processing School of Computer Science and Technology Xinjiang University Urumqi China
With the development of deep learning and big data technology, system log anomaly detection technology has received widespread attention. Although many methods have achieved good results in anomaly detection in logs, ... 详细信息
来源: 评论
An end-to-end algorithm for predicting missing load data based on waveGAIN
An end-to-end algorithm for predicting missing load data bas...
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International Joint Conference on Neural Networks (IJCNN)
作者: Jiang Zhang Gang Zhou Yuwei Feng Sen Yang Wanlin Wang Jiaqing Mo Xinjiang Key Laboratory of Signal Detection and Processing School of Computer Science and Technology Xinjiang University Urumqi China
The accuracy of short-term load forecasting has improved with the development of deep learning on complete datasets. However, load data is often lost due to various complex factors in the power system, causing it is a... 详细信息
来源: 评论
LinWA:Linear Weights Attention for Time Series Forecasting
LinWA:Linear Weights Attention for Time Series Forecasting
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International Joint Conference on Neural Networks (IJCNN)
作者: Qiang Li Jiwei Qin Dezhi Sun Fei Shi Daishun Cui Jiachen Xie School of Computer Science and Technology Xinjiang Key Laboratory of Signal Detection and Processing Xinjiang University Urumqi China
Transformer has achieved excellent results in the field of time series forecasting. However, some recent studies have pointed out that the existing Transformer models are ineffective in preserving the temporal order i... 详细信息
来源: 评论
HiparaLog: Improving Log-based Anomaly detection through Parameter Feature Integration
HiparaLog: Improving Log-based Anomaly Detection through Par...
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International Joint Conference on Neural Networks (IJCNN)
作者: Guangming Li Jiaqing Mo Gang Zhou Cheng Li Xinjiang Key Laboratory of Signal Detection and Processing School of Computer Science and Technology Xinjiang University Urumqi China
Anomaly detection methods based on system logs are effective means of maintaining large-scale systems. In recent years, numerous excellent log anomaly detection methods have emerged. However, existing log anomaly dete... 详细信息
来源: 评论
RGR-KBQA: Generating Logical Forms for Question Answering Using Knowledge-Graph-Enhanced Large Language Model  31
RGR-KBQA: Generating Logical Forms for Question Answering Us...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Feng, Tengfei He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
In the field of natural language processing, Knowledge Base Question Answering (KBQA) is a challenging task that involves accurately retrieving answers from structured knowledge. Existing methods often face issues whe... 详细信息
来源: 评论