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VAE-KRnet and its Applications to Variational Bayes

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Communications in Computational Physics 2022年第4期31卷 1049-1082页

作者： xiaoliang wan Shuangqing Wei Department of Mathematics Center for Computation and TechnologyLouisiana State UniversityBaton Rouge 70803USA Division of Electrical&Computer Engineering Louisiana State UniversityBaton Rouge 70803USA

In this work,we have proposed a generative model,called VAE-KRnet,for density estimation or approximation,which combines the canonical variational autoencoder(VAE)with our recently developed flow-based generativemodel,called *** is used as a dimension reduction technique to capture the latent space,and KRnet is used to model the distribution of the latent *** a linear model between the data and the latent variable,we show that VAE-KRnet can be more effective and robust than the canonical ***-KRnet can be used as a density model to approximate either data distribution or an arbitrary probability density function(PDF)known up to a ***-KRnet is flexible in terms of *** the number of dimensions is relatively small,KRnet can effectively approximate the distribution in terms of the original random *** high-dimensional cases,we may use VAE-KRnet to incorporate dimension *** important application of VAE-KRnet is the variational Bayes for the approximation of the posterior *** variational Bayes approaches are usually based on the minimization of the Kullback-Leibler(KL)divergence between the model and the *** highdimensional distributions,it is very challenging to construct an accurate densitymodel due to the curse of dimensionality,where extra assumptions are often introduced for *** instance,the classical mean-field approach assumes mutual independence between dimensions,which often yields an underestimated variance due to *** alleviate this issue,we include into the loss the maximization of the mutual information between the latent random variable and the original random variable,which helps keep more information from the region of low density such that the estimation of variance is *** experiments have been presented to demonstrate the effectiveness of our model.

关键词： Deep learning variational Bayes uncertainty quantification Bayesian inverse problems generative modeling

Error Control in Multi-Element Generalized Polynomial Chaos Method for Elliptic Problems with Random Coefficients

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Communications in Computational Physics 2009年第2期5卷 793-820页

作者： xiaoliang wan George Em Karniadakis Division of Applied Mathematics Brown UniversityProvidenceRI 02912USA

We develop the theory for a robust and efficient adaptive multi-element generalized polynomial chaos(ME-gPC)method for elliptic equations with random coefficients for a moderate number(O(10))of random *** employ loworder(p≤3)polynomial chaos and refine the solution using adaptivity in the parametric *** first study the approximation error of ME-gPC and prove its *** subsequently generate local and global a posteriori error *** order to resolve the error equations efficiently,we construct a reduced space using much smaller number of terms in the enhanced polynomial chaos space to capture the errors of ME-gPC *** on the a posteriori estimators,we propose and implement an adaptive ME-gPC algorithm for elliptic problems with random *** results for convergence and efficiency are also presented.

关键词： Stochastic PDE a posteriori error estimate elliptic problems adaptive numerical methods uncertainty quantification

Deep density estimation via invertible block-triangular mapping

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Theoretical & Applied Mechanics Letters 2020年第3期10卷 143-148页

作者： Keju Tang xiaoliang wan Qifeng Liao School of Information Science and Technology ShanghaiTech UniversityShanghai 201210China Department of Mathematics and Center for Computation and Technology Louisiana State UniversityBaton RougeLA 70803USA

In this work,we develop an invertible transport map,called KRnet,for density estimation by coupling the Knothe–Rosenblatt(KR)rearrangement and the flow-based generative model,which generalizes the real-valued non-volume preserving(real NVP)model(arX-iv:1605.08803v3).The triangular structure of the KR rearrangement breaks the symmetry of the real NVP in terms of the exchange of information between dimensions,which not only accelerates the training process but also improves the accuracy *** have also introduced several new layers into the generative model to improve both robustness and effectiveness,including a reformulated affine coupling layer,a rotation layer and a component-wise nonlinear invertible *** KRnet can be used for both density estimation and sample generation especially when the dimensionality is relatively *** experiments have been presented to demonstrate the performance of KRnet.

关键词： Deep learning Density estimation Optimal transport Uncertainty quantification

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A型应急照明集中电源选择探讨

智能建筑电气技术 2023年第1期17卷 42-45页

作者：万小亮上海天华建筑设计有限公司厦门分公司厦门361000

通过分析应急照明集中电源蓄电池持续工作时间及蓄电池的容量衰减特性,总结出应急照明集中电源蓄电池初装功率的计算公式及速算表格,提供不同类型建筑物中A型应急照明集中电源类型及标称应急时间的选择方案供同行参考。

关键词： A型应急照明集中电源初装功率蓄电池选择蓄电池容量衰减标称应急时间

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某商业综合体的电气方案设计探讨

福建建筑 2019年第12期 111-114页

作者：万小亮厦门合立道工程设计集团股份有限公司

结合业主需求和当地供电局要求,以福建某商业综合体为例,对电气方案设计要点进行分析总结,包括用电负荷等级、中压供电方案、商业各业态指标、电气负荷估算、变电所位置选择、变压器实际运行情况分析等,提出电气方案设计应综合各方因素... 详细信息

结合业主需求和当地供电局要求,以福建某商业综合体为例,对电气方案设计要点进行分析总结,包括用电负荷等级、中压供电方案、商业各业态指标、电气负荷估算、变电所位置选择、变压器实际运行情况分析等,提出电气方案设计应综合各方因素后择优确定。

关键词：电气方案设计商业综合体负荷估算变电所选址变压器负荷率

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TN系统中微断故障防护的可靠性探讨

智能建筑电气技术 2021年第5期15卷 85-88页

作者：万小亮上海天华建筑设计有限公司厦门分公司厦门361000

GB 51348-2019《民用建筑电气设计标准》(以下简称"《新民标》")中提出"对于交流配电系统中(120V 详细信息

GB 51348-2019《民用建筑电气设计标准》(以下简称"《新民标》")中提出"对于交流配电系统中(120V

关键词：灯具故障防护间接接触防护故障防护 B型微型断路器故障防护切断时间

呼吸重症患者非计划重返ICU的发生现状及危险因素分析

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西南国防医药 2021年第5期31卷 381-386页

作者：谢汶倚张小维万小亮吕晗希唐荔四川大学华西医院呼吸与危重症医学科MICU/华西护理学院成都610041

目的分析呼吸重症患者非计划重返ICU的现状和危险因素。方法回顾性分析2018~2020年期间入住四川大学华西医院呼吸与危重症医学科的患者资料,采用自行设计的收集表进行资料收集,采用单因素分析和Logistic回归分析呼吸重症患者非计划重返... 详细信息

目的分析呼吸重症患者非计划重返ICU的现状和危险因素。方法回顾性分析2018~2020年期间入住四川大学华西医院呼吸与危重症医学科的患者资料,采用自行设计的收集表进行资料收集,采用单因素分析和Logistic回归分析呼吸重症患者非计划重返ICU的影响因素。结果共纳入459例患者资料,呼吸重症患者24 h、48 h、72 h、7 d内、7 d以上非计划重返ICU发生率分别为2%、4.1%、5.2%、8.7%、14.4%。单因素分析结果显示:年龄、APACHE-Ⅱ评分、首次ICU住院天数、转出时GCS评分、慢性心血管疾病史、慢性呼吸系统疾病史、慢性肾病史、合并脑卒中、合并糖尿病、转出后发生谵妄、发生误吸、咳痰无力、痰液较多、转出时携带气管切开导管、转出时呼吸支持方式、停止有创机械通气至转出之间时间间隔等因素,与呼吸重症患者的非计划重返ICU相关(P<0.05)。Logistic回归结果示APACHE-Ⅱ评分(OR=1.071)、转出后发生误吸(OR=20.380)、咳痰无力(OR=27.931)、痰液较多(OR=7.469)是非计划重返ICU发生的独立危险因素。结论呼吸重症患者非计划重返ICU发生率较高,APACHE-Ⅱ评分高、转出后发生误吸、咳痰无力、痰液较多是其重返ICU的危险因素,可考虑从预防误吸、加强呼吸康复、改善咳痰能力等角度加以改善。

关键词：非计划重返ICU RICU 危险因素

Atom substitution of the solid-state electrolyte Li_(10)GeP_(2)S_(12)for stabilized all-solid-state lithium metal batteries

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Journal of Energy Chemistry 2024年第1期88卷 28-38,I0002页

作者： Zijing wan Xiaozhen Chen Ziqi Zhou xiaoliang Zhong Xiaobing Luo Dongwei Xu State Key Laboratory of Coal Combustion School of Energy and Power EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiChina

Solid-state electrolyte Li_(10)GeP_(2)S_(12)(LGPS)has a high lithium ion conductivity of 12 mS cm^(-1)at room temperature,but its inferior chemical stability against lithium metal anode impedes its practical *** all solutions,Ge atom substitution of the solid-state electrolyte LGPS stands out as the most promising solution to this interface problem.A systematic screening framework for Ge atom substitution including ionic conductivity,thermodynamic stability,electronic and mechanical properties is utilized to solve *** fast screening,an enhanced model Dop Net FC using chemical formulas for the dataset is adopted to predict ionic ***,Li_(10)SrP_(2)S_(12)(LSrPS)is screened out,which has high lithium ion conductivity(12.58 mS cm^(-1)).In addition,an enhanced migration of lithium ion across the LSr PS/Li interface is ***,compared to the LGPS/Li interface,LSrPS/Li interface exhibits a larger Schottky barrier(0.134 eV),smaller electron transfer region(3.103?),and enhanced ability to block additional electrons,all of which contribute to the stabilized *** applied theoretical atom substitution screening framework with the aid of machine learning can be extended to rapid determination of modified specific material schemes.

关键词： Atom substitution Solid-state electrolyte Machine learning Stabilized interface

Integrated multi-omics analysis of developing‘Newhall’orange and its glossy mutant provide insights into citrus fragrance formation

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Horticultural Plant Journal 2022年第4期8卷 435-449页

作者： Haoliang wan xiaoliang Zhang Ping wang Haiji Qiu Yafei Guo Yunjiang Cheng Weiwei Wen Key Laboratory of Horticultural Plant Biology(MOE) College of Horticulture and Forestry SciencesHuazhong Agricultural UniversityWuhan 430070 China

Sesquiterpene valencene is dominant in flavedo tissues of sweet oranges and imparts a unique woody ***,the interaction between the biosynthetic pathways of valencene and other nutritional compounds is less *** were significantly accumulated in a previously reported glossy mutant of orange(MT)than the wild type(WT),especially valencene and *** addition,we identified several other pathways with variations at both the transcriptional and metabolic levels in ***’s interesting to found those upregulated metabolites in MT,such as eukaryotic lipids,kaempferol and proline also showed strong positive correlation with valencene along with fruit maturation while those down-regulated metabolites,such as phenylpropanoid coumarins and most of the modified flavonoids exhibited negative *** then categorized these shifted pathways into the‘sesquitepenoid-identical shunt’and the sesquitepenoid-opposite shunt’and confirmed the classification result at transcriptional *** results provide important insights into the connections between various fruit quality-related properties.

关键词： Citrus sinensis(L.) Multi-omics Sesquiterpenoids Eukaryotic lipids Carbon flux Network