Profil bibliographique

Xun Zhang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

4Publications signalées

9Citations signalées

1Affiliations récentes

Les institutions déclarées

Les domaines associés

Recommender Systems and TechniquesImage Retrieval and Classification TechniquesOptical Wireless Communication TechnologiesImage Enhancement TechniquesUnderwater Vehicles and Communication Systems

Les publications récentes

2025 conference-paper OpenAlex

CNN-Based Exposure Time and ISO Optimization via Image-Parameter Fusion in Underwater Optical Camera Communication

Jiongnan Lou, Lianxin Hu, Zhan Wang, Yiqian Qian et autres

International audience

cn, fr (code pays fourni par la source)

0 citations

2025 conference-paper OpenAlex

Stability Optimization of Visible Light Indoor Positioning with Single LED: Using Elastic Weight Consolidation Mechanism Convolutional Neural Network

Lianxin Hu, Haifei Shen, Masood Jan, Zefeng Wang et autres

This paper proposes a continual learning strategy that combines Convolutional Neural Networks (CNNs) with the Elastic Weight Consolidation (EWC) mechanism. The objective is to optimize a single LED-based Visible Light Positioning (VLP) system, enhancing its stability and generalization in dynamic environments. The …

cn, fr (code pays fourni par la source)

0 citations

2024 conference-paper OpenAlex

LGRec:A Group Recommendation Method Based on Graph Convolutional Neural Networks

Pingsheng Jiang, Bing Lin, Xun Zhang

Group activities are very common in everyday life, where people often go out for meals with friends during holidays or travel with family. Recommending content to group users has become a complex and important task. It is challenging to recommend to groups …

cn (code pays fourni par la source)

0 citations

Accès ouvert 2022 article OpenAlex

Research on Wastewater Treatment Monitoring Algorithms Based on Deep Convolutional Neural Networks

Xun Zhang, Yanhui Gu

Around the problems of data loss, noise, and different temporal and spatial scale features of urban wastewater treatment process data, a method of monitoring and predicting wastewater treatment process data based on deep convolutional neural networks is proposed in the paper. Firstly, …

cn (code pays fourni par la source)

9 citations Wireless Communications and Mobile Computing

Profil ORCID Notice OpenAlex

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