Posts in 2023
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【论文分享】Generative Time-Series Modeling With Fourier Flows
Wednesday, March 29, 2023 in Releases
Title Generative Time-Series Modeling With Fourier Flows Author Ahmed M. Alaa; Alex J. Chan; Mihaela van der Schaar Affiliations University of California, Los Angeles, USA University of Cambridge, UK Emails ahmedmalaa@ucla.edu Paper …
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【论文解析】多目标多任务优化——将邻域作为知识迁移的桥梁
Thursday, March 23, 2023 in Releases
Title Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfering Author Xianpeng Wang; Zhiming Dong; Lixin Tang; Qingfu Zhang Affiliations Northeastern University Emails wangxianpeng@ise.neu.edu.cn Paper …
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【论文分享】从多模态电子健康记录中学习模态间对应和表型
Wednesday, March 22, 2023 in Releases
从多模态电子健康记录中学习模态间对应和表型 Title Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records Author Kejing Yin; William K. Cheung; Benjamin C. M. Fung; Jonathan Poon Affiliations Department of Computer Science, Hong Kong …
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【论文分享】Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
Wednesday, March 15, 2023 in Releases
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) Title Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) Author Ali Seyfi ，Jean-Francois Rajotte ，Raymond T. Ng Affiliations Department …
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Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes
Monday, March 13, 2023 in News
Title Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes Author Huixin Ma; Kai Wu; Handing Wang; Jing Liu Affiliations Xidian University Emails 948181384@qq.com; kwu@xidian.edu.cn; hdwang@xidian.edu.cn; …
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【论文解析】通过隐相互作用张量分解联合学习表型和诊断药物对应
Sunday, March 12, 2023 in Releases
通过隐相互作用张量分解联合学习表型和诊断药物对应 Title Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization Author Kejing Yin; William K. Cheung; Benjamin C. M. Fung; Jonathan Poon Affiliations Department of …
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推文规范
Friday, February 10, 2023 in Releases
推文规范 这篇文章主要讲解推文的规范，主要说明如下： 所有推文均用markdown编写，其语法简单，使用方便。具体语法可参见：https://markdown.com.cn/basic-syntax/。 本地撰写是推荐使用Typora，这是一个markdown语言的多平台编辑器，可以实时渲染结果，其网站如下：https://typora.io/。 所有推文表头必须包含以下信息：题目，链接题目（与题目相同即可，较长可用缩写），日期，作者（邮箱），简要描述，文章标签。 title: "The …
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One Paper accepted by IEEE CIM
Friday, February 10, 2023 in News
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks Recently, we have one paper entitled “A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks” accepted by the IEEE …
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【论文分享】用于社交网络中影响力最大化的多转换进化框架
Friday, February 10, 2023 in Releases
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks Recently, we have one paper entitled “A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks” accepted by the IEEE …
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【竞赛分享】从高分辨率数据中获取辅助信息：一种电力负荷数据的增强超分辨率重构方案
Friday, February 10, 2023 in Releases
从高分辨率数据中获取辅助信息：一种电力负荷数据的增强超分辨率重构方案 一、问题介绍 智能电网是将现代社会中原有的输、配电基础设施与通信网络和数据管理系统高度集成 而形成的先进的测量基础设施，通过记录负荷分布在电力输送系统中发挥着至关重要的作用。智能电网中的大数据分析大大提高了电力服务行业的运行效率、可靠性和可持续性，在负荷分析、负荷预测和负荷管理等关键应用领域中准确、高频和可靠的高频电力数据是必不可少的。然而，收集高频数据在实践中是相当困难的，高频数据需要更高的数据通信与存储成本，此外，电网中 …