Search Results - "Huang, Xunhua"

Orbital-angular-momentum beams-based Fizeau interferometer using the advanced azimuthal-phase-demodulation method by Lu, Huali, Huang, Xunhua, Guo, Chenji, Xu, Jiayang, Xu, Jiannan, Hao, Hui, Zhao, Hua, Tang, Wanchun, Wang, Peng, Li, Hongpu

“…A stably acquiring and accurately demodulating interferogram is crucial for the interferometer to achieve ultra-high precision and sensitivity measurements. In…”
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The Antitumour Activity of a Curcumin and Piperine Loaded iRGD-Modified Liposome: In Vitro and In Vivo Evaluation by Wang, Yingzheng, Huang, Xunhua, Chen, Hanzhi, Wu, Qianyuan, Zhao, Qianqian, Fu, Dezhuang, Liu, Qinghua, Wang, Yinghao

“…Lung cancer is one of the most common cancers around the world, with a high mortality rate. Despite substantial advancements in diagnoses and therapies, the…”
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Synthesizing the complex orbital-angular-momentum spectrum of hybrid modes existed in a few-mode fiber by Hao, Yuanyuan, Guo, Chenji, Huang, Xunhua, Xu, Jiannan, Lu, Huali, Zhao, Hua, Wang, Peng, Li, Hongpu

“…In this study, a simple and reliable method enabling to well synthesize the complex orbit-angular-momentum (OAM) spectrum of hybrid mode in a few-mode fiber is…”
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Self-supervised multi-transformation learning for time series anomaly detection by Han, Han, Fan, Haoyi, Huang, Xunhua, Han, Chuang

“…Time series anomaly detection aims to find specific patterns in time series that do not conform to general rules, which is one of the important research…”
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Bidirectional consistency with temporal-aware for semi-supervised time series classification by Liu, Han, Zhang, Fengbin, Huang, Xunhua, Wang, Ruidong, Xi, Liang

“…Semi-supervised learning (SSL) has achieved significant success due to its capacity to alleviate annotation dependencies. Most existing SSL methods utilize…”
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Unsupervised multimodal domain adversarial network for time series classification by Xi, Liang, Liang, Yujia, Huang, Xunhua, Liu, Han, Li, Ao

“…Unsupervised Domain Adaptation (UDA) is an ideal transfer learning method, which can use labeled source data to improve the classification performance of…”
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Semi-supervised Time Series Classification Model with Self-supervised Learning by Xi, Liang, Yun, Zichao, Liu, Han, Wang, Ruidong, Huang, Xunhua, Fan, Haoyi

“…Semi-supervised learning is a powerful machine learning method. It can be used for model training when only part of the data are labeled. Unlike discrete data,…”
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Azimuthal Phase-Shifting Demodulation Method for Orbital-Angular-Momentum Interferometer by Zhao, Hua, Xu, Jiayang, Huang, Xunhua, Xu, Jiannan, Hao, Hui, Lu, Huali

“…The orbital-angular-momentum (OAM) beams-based interferometer (OAMI) has shown its potential in high-precision metrology. However, most phase-demodulation…”
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Deep joint adversarial learning for anomaly detection on attribute networks by Fan, Haoyi, Wang, Ruidong, Huang, Xunhua, Zhang, Fengbin, Li, Zuoyong, Su, Shimei

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Nano-Displacement Measurement System Using a Modified Orbital Angular Momentum Interferometer by Lu, Huali, Hao, Yuanyuan, Guo, Chenji, Huang, Xunhua, Hao, Hui, Guo, Dongmei, Zhao, Hua, Tang, Wanchun, Wang, Peng, Li, Hongpu

“…In this study, a nano-displacement measurement system is proposed and demonstrated both theoretically and experimentally, which was based on a modified…”
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Semi-Supervised Time Series Classification by Temporal Relation Prediction by Fan, Haoyi, Zhang, Fengbin, Wang, Ruidong, Huang, Xunhua, Li, Zuoyong

“…Semi-supervised learning (SSL) has proven to be a powerful algorithm in different domains by leveraging unlabeled data to mitigate the reliance on the…”
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CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis by Wang, Ruidong, Zhang, Fengbin, Huang, Xunhua, Tian, Chongrui, Xi, Liang, Fan, Haoyi

“…Capturing the complex interaction between the node attribute and the network structure is important for attributed network embedding and anomaly detection…”
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KalmanAE: Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection by Huang, Xunhua, Zhang, Fengbin, Wang, Ruidong, Lin, Xiaohui, Liu, Han, Fan, Haoyi

“…The Kalman filter performs well in system state estimation by inferring a joint probability distribution over time variables, which has numerous technological…”
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Pseudo anomalies enhanced deep support vector data description for electrocardiogram quality assessment by Huang, Xunhua, Zhang, Fengbin, Fan, Haoyi, Chang, Huihui, Zhou, Bing, Li, Zuoyong

“…Electrocardiogram (ECG) recordings obtained from wearable devices are susceptible to noise interference that degrades the signal quality. Traditional methods…”
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Adaptive-Correlation-Aware Unsupervised Deep Learning for Anomaly Detection in Cyber-Physical Systems by Xi, Liang, Miao, Dehua, Li, Menghan, Wang, Ruidong, Liu, Han, Huang, Xunhua

“…Cyber-Physical System needs high security to ensure the safe operation. Anomaly detection is one of the mainstream security technologies, the core of which is…”
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Review of Self-supervised Learning Methods in Field of ECG by HAN Han, HUANG Xunhua, CHANG Huihui, FAN Haoyi, CHEN Peng, CHEN Jijia

“…Deep learning has been widely applied in the field of electrocardiogram (ECG) signal analysis due to its powerful data representation capability. However,…”
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A versioning method of vector spatial database by Dannong Li, Xunhua Huang, Yuanmin Fang, Jie Chen

“…This article designed a repository which can save the information about the changes of geographical feature by the means of extending the vector geospatial…”
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Unsupervised Time Series Anomaly Detection under Data Contamination by Lin, Xiaohui, Li, Zuoyong, Huang, Xunhua, Chen, Xinwei, Fan, Haoyi

“…Unsupervised learning utilizes unlabeled data to alleviate the reliance on large amounts of labeled data, and it has made great progress in time series anomaly…”
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