Tsinghua Science and Technology最新文献

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IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-07-28
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引用次数: 0
Reconfigurable Intelligent Surfaces for 6G: Nine Fundamental Issues and One Critical Problem 6G的可重构智能曲面:九个基本问题和一个关键问题
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-03-19 DOI: 10.26599/TST.2023.9010001
Zijian Zhang;Linglong Dai
{"title":"Reconfigurable Intelligent Surfaces for 6G: Nine Fundamental Issues and One Critical Problem","authors":"Zijian Zhang;Linglong Dai","doi":"10.26599/TST.2023.9010001","DOIUrl":"https://doi.org/10.26599/TST.2023.9010001","url":null,"abstract":"Thanks to the recent advances in metamaterials, Reconfigurable Intelligent Surface (RIS) has emerged as a promising technology for future 6G wireless communications. Benefiting from its high array gain, low cost, and low power consumption, RISs are expected to greatly enlarge signal coverage, improve system capacity, and increase energy efficiency. In this article, we systematically overview the emerging RIS technology with the focus on its key basics, nine fundamental issues, and one critical problem. Specifically, we first explain the RIS basics, including its working principles, hardware structures, and potential benefits for communications. Based on these basics, nine fundamental issues of RISs, such as “What's the differences between RISs and massive MIMO?” and “Is RIS really intelligent?”, are explicitly addressed to elaborate its technical features, distinguish it from existing technologies, and clarify some misunderstandings in the literature. Then, one critical problem of RISs is revealed that, due to the “multiplicative fading” effect, existing passive RISs can hardly achieve visible performance gains in many communication scenarios with strong direct links. To address this critical problem, a potential solution called active RISs is introduced, and its effectiveness is demonstrated by numerical simulations.","PeriodicalId":60306,"journal":{"name":"Tsinghua Science and Technology","volume":"28 5","pages":"929-939"},"PeriodicalIF":6.6,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5971803/10130021/10130029.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68018826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Cover
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-03-19
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引用次数: 0
DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement DEANet:用于微光图像增强的分解增强和调整网络
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-01-06 DOI: 10.26599/TST.2022.9010047
Yonglong Jiang;Liangliang Li;Jiahe Zhu;Yuan Xue;Hongbing Ma
{"title":"DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement","authors":"Yonglong Jiang;Liangliang Li;Jiahe Zhu;Yuan Xue;Hongbing Ma","doi":"10.26599/TST.2022.9010047","DOIUrl":"https://doi.org/10.26599/TST.2022.9010047","url":null,"abstract":"Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement. DEANet combines the frequency and content information of images and is divided into three subnetworks: decomposition, enhancement, and adjustment networks, which perform image decomposition; denoising, contrast enhancement, and detail preservation; and image adjustment and generation, respectively. The model is trained on the public LOL dataset, and the experimental results show that it outperforms the existing state-of-the-art methods regarding visual effects and image quality.","PeriodicalId":60306,"journal":{"name":"Tsinghua Science and Technology","volume":"28 4","pages":"743-753"},"PeriodicalIF":6.6,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5971803/10011153/10011162.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67893896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cover
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-01-06
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引用次数: 0
Boosting for Distributed Online Convex Optimization 分布式在线凸优化的Boosting
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-01-01 DOI: 10.26599/TST.2022.9010041
Yuhan Hu;Yawei Zhao;Lailong Luo;Deke Guo
{"title":"Boosting for Distributed Online Convex Optimization","authors":"Yuhan Hu;Yawei Zhao;Lailong Luo;Deke Guo","doi":"10.26599/TST.2022.9010041","DOIUrl":"https://doi.org/10.26599/TST.2022.9010041","url":null,"abstract":"","PeriodicalId":60306,"journal":{"name":"Tsinghua Science and Technology","volume":"28 4","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5971803/10011153/10011174.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67893892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model 基于节点搜索贡献的长期跟踪特定个体搜索模型
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-01-01 DOI: 10.26599/TST.2022.9010021
Yayong Shi;Fei Chang;Yetao Sun;Guangcheng Yang;Rui Wang;Yuan Yao
{"title":"Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model","authors":"Yayong Shi;Fei Chang;Yetao Sun;Guangcheng Yang;Rui Wang;Yuan Yao","doi":"10.26599/TST.2022.9010021","DOIUrl":"https://doi.org/10.26599/TST.2022.9010021","url":null,"abstract":"","PeriodicalId":60306,"journal":{"name":"Tsinghua Science and Technology","volume":"28 4","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5971803/10011153/10011158.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67893895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neighbor Library-Aware Graph Neural Network for Third Party Library Recommendation 面向第三方图书馆推荐的邻库感知图神经网络
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-01-01 DOI: 10.26599/TST.2022.9010042
Ying Jin;Yi Zhang;Yiwen Zhang
{"title":"Neighbor Library-Aware Graph Neural Network for Third Party Library Recommendation","authors":"Ying Jin;Yi Zhang;Yiwen Zhang","doi":"10.26599/TST.2022.9010042","DOIUrl":"https://doi.org/10.26599/TST.2022.9010042","url":null,"abstract":"","PeriodicalId":60306,"journal":{"name":"Tsinghua Science and Technology","volume":"28 4","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5971803/10011153/10011160.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67893897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Use of Deep Learning for Continuous Prediction of Mortality for All Admissions in Intensive Care Units 使用深度学习连续预测重症监护病房所有入院患者的死亡率
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-01-01 DOI: 10.26599/TST.2022.9010027
Guangjian Zeng;Jinhu Zhuang;Haofan Huang;Mu Tian;Yi Gao;Yong Liu;Xiaxia Yu
{"title":"Use of Deep Learning for Continuous Prediction of Mortality for All Admissions in Intensive Care Units","authors":"Guangjian Zeng;Jinhu Zhuang;Haofan Huang;Mu Tian;Yi Gao;Yong Liu;Xiaxia Yu","doi":"10.26599/TST.2022.9010027","DOIUrl":"https://doi.org/10.26599/TST.2022.9010027","url":null,"abstract":"","PeriodicalId":60306,"journal":{"name":"Tsinghua Science and Technology","volume":"28 4","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5971803/10011153/10011176.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67893982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Tibetan Sentence Boundary Disambiguation Model Considering the Components on Information on Both Sides of Shad 考虑Shad两边信息成分的藏语句子边界消歧模型
IF 6.6 1区 计算机科学
Tsinghua Science and Technology Pub Date : 2023-01-01 DOI: 10.26599/TST.2022.9010055
Fenfang Li;Hui Lv;Yiming Gao;Dolha;Yan Li;Qingguo Zhou
{"title":"A Tibetan Sentence Boundary Disambiguation Model Considering the Components on Information on Both Sides of Shad","authors":"Fenfang Li;Hui Lv;Yiming Gao;Dolha;Yan Li;Qingguo Zhou","doi":"10.26599/TST.2022.9010055","DOIUrl":"https://doi.org/10.26599/TST.2022.9010055","url":null,"abstract":"","PeriodicalId":60306,"journal":{"name":"Tsinghua Science and Technology","volume":"28 6","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5971803/10197185/10197207.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68015866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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