Search Results - "Linkai Luo"

A method of multi-models fusion for speaker recognition by Wu, Hao, Luo, Linkai, Peng, Hong, Wen, Wei

“…As a new type of biometrics recognition technology, speaker recognition is gaining more and more attention because of the advantages in remote authentication…”
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Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model by Luo, Linkai, Wang, Yue, Mo, Daniel Y.

“…Twitter has been an important platform for people to discuss and share health-related information. It provides a massive amount of data for real-time…”
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An unsupervised keyphrase extraction model by incorporating structural and semantic information by Luo, Linkai, Zhang, Longmin, Peng, Hong

“…We proposed an unsupervised keyphrase extraction model that incorporates the structural information and the semantic information of a document. The structural…”
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An intelligent detection method for plasmodium based on self-supervised learning and attention mechanism by Fu, Min, Wu, Kai, Li, Yuxuan, Luo, Linkai, Huang, Wei, Zhang, Qi

“…Malaria remains a severe life-threatening disease caused by plasmodium parasites. Microscopy is widely used for malaria diagnosis. However, it relies heavily…”
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Structural damage detection method based on random forests and data fusion by Zhou, Qifeng, Ning, Yongpeng, Zhou, Qingqing, Luo, Linkai, Lei, Jiayan

“…A structural damage detection method by integrating data fusion and random forests was proposed. The original acceleration signals were translated into energy…”
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Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers by Tang, Zhimin, Li, Shaohui, Luo, Linkai, Fu, Min, Peng, Hong, Zhou, Qifeng

“…In this paper, we present an efficient method for single image super-resolution based on the dense network. First, considering that the dense architectures…”
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Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction by Luo, Linkai, Chen, Xi

“…[Display omitted] ► The turning points obtained from PLR is set with different weights. ► The prediction problem is formulated to a weighted four-class…”
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COVID-19 personal health mention detection from tweets using dual convolutional neural network by Luo, Linkai, Wang, Yue, Liu, Hai

“…•We built and released the first COVID-19 tweet dataset for PHM identification.•We proposed a dual CNN network to classify each tweet into four PHM…”
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Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-Generated Content by Wang, Yue, Luo, Linkai, Liu, Hai

“…Although product design has been considered as a collaborative activity, progress in developing methods to facilitate the design process has been hampered by…”
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BRAVE: A cascaded generative model with sample attention for robust few shot image classification by Ji, Huayi, Luo, Linkai, Peng, Hong

“…Few-shot learning (FSL) confronts notable challenges due to the disparity between training and testing categories, leading to channel bias in neural networks…”
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Automatic Sparse Connectivity Learning for Neural Networks by Tang, Zhimin, Luo, Linkai, Xie, Bike, Zhu, Yiyu, Zhao, Rujie, Bi, Lvqing, Lu, Chao

“…Since sparse neural networks usually contain many zero weights, these unnecessary network connections can potentially be eliminated without degrading network…”
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Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution by Xie, Jiao, Gong, Linrui, Shao, Shitong, Lin, Shaohui, Luo, Linkai

“…Convolutional and Transformer models have achieved remarkable results for Single Image Super-Resolution (SISR). However, the tremendous memory and computation…”
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Bayesian improved model migration methodology for fast process modeling by incorporating prior information by Luo, Linkai, Yao, Yuan, Gao, Furong

“…We consider a Bayesian inference approach to enhance model migration, building on concepts laid out in an earlier paper (Lu and Gao, 2008a). Previous studies…”
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A new framework for graph neural network with local information diffusion by Peng, Shengwei, Luo, Linkai, Peng, Hong

“…Graph neural networks have attracted a lot of attention in recent years. In most graph neural networks, the representation of a node is obtained by aggregating…”
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Compressing convolutional neural networks with cheap convolutions and online distillation by Xie, Jiao, Lin, Shaohui, Zhang, Yichen, Luo, Linkai

“…Visual impairment assistance systems play a vital role in improving the standard of living for visually impaired people (VIP). With the development of deep…”
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Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction by Luo, Linkai, You, Shiyang, Xu, Yanru, Peng, Hong

“…[Display omitted] •The prediction problem is simplified to a weighted two-class problem.•The identification of buying or selling signal from TP is done by…”
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High-Frequency Stock Trend Forecast Using LSTM Model by Siyu Yao, Linkai Luo, Hong Peng

“…The prediction of price trend in stock market is a challenging task due to the inherent complexity and dynamics in price movement. Many machine learning…”
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A joint residual network with paired ReLUs activation for image super-resolution by Tang, Zhimin, Luo, Linkai, Peng, Hong, Li, Shaohui

“…Recently, single image super-resolution (SR) models based on deep convolutional neural network (CNN) have achieved significant advances in accuracy and speed…”
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Mixed-effects Gaussian process modeling approach with application in injection molding processes by Luo, Linkai, Yao, Yuan, Gao, Furong, Zhao, Chunhui

“…•We develop an ME-GP modeling approach for multi-process data.•ME-GP improves the prediction performance by combining common information.•We quantify…”
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A Method Based on Support Vector Machine for Voice Activity Detection on Isolated Words by Cheng Dai, Linkai Luo, Hong Peng, Qingyun Sun

“…Voice activity detection (VAD) is an essential part of speech processing system, which aims at extracting active speech information from continuous speech…”
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