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A multicenter uroflowmetry study of healthy women in China

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中华医学杂志(英文版) 2024年第10期137卷 1225-1227页

作者： Liu Xiaodong Meng Lingfeng wang Jiawen Ma Tianming Shi Benkang Huang Hai wang Qingwei Chen Min Liao Limin Shen Hong Wei zhongqing Xiao Yuansong Pan Tiejun Ren Jian Zhang Peng Tian Xiaojun Zhang Yaoguang Department of Urology The Second Affiliated Hospital of Nanjing Medical University Nanjing Jiangsu China Department of Urology General Hospital of Southern Theatre Command Guangzhou Guangdong China Department of Urology General Hospital of Central Theatre Command Wuhan Hubei China Department of Urology China-Japan Friendship Hospital Beijing China Department of Urology Beijing Chao-Yang Hospital Beijing China Department of Urology Peking University Third Hospital Beijing China Department of Urology Beijing Hospital National Center of Gerontology Institute of Geriatric Medicine Chinese Academy of Medical Sciences &amp Peking Union Medical College Beijing China Graduate School of Peking Union Medical College Beijing China Department of Urology Qilu Hospital Shandong University Jinan Shandong China Department of Urology SUN YAT-SEN Memorial Hospital Guangzhou Guangdong China Department of Urology The First Affiliated Hospital of Zhengzhou University Zhengzhou Henan China Department of Urology Tongji Hospital Tongji Medical College of Huazhong University of Science and Technology Wuhan Hubei China Department of Urology China Rehabilitation Research Center Beijing China Department of Urology West China Hospital Chengdu Sichuan China

广义Rosenau-Kawahara方程的有效谱方法

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上海理工大学学报 2024年第1期46卷 30-35,86页

作者：文贤王中庆上海理工大学理学院上海200093

针对广义Rosenau-Kawahara方程提出了Legendre dual-Petrov-Galerkin谱方法,并基于对角化技巧,构建了快速有效算法。在此基础上研究了单个孤立波的传播、守恒律及波的生成等物理现象。数值结果验证了所提算法的有效性。

关键词： Legendre dual-Petrov-Galerkin谱方法广义Rosenau-Kawahara方程孤立波守恒律

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Personal summarization from profile networks

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Frontiers of Computer Science 2017年第6期11卷 1085-1097页

作者： zhongqing wang Shoushan LI Guodong ZHOU Natural Language Processing Lab School of Computer Science and Technology Soochow University Suzhou 215006 China

Personal profile information on social media like *** and *** is at the core of many inter- esting applications, such as talent recommendation and con- textual advertising. However, personal profiles usually lack consistent organization confronted with the large amount of available information. Therefore, it is always a challenge for people to quickly find desired information from them. In this paper, we address the task of personal profile summarization by leveraging both textual information and social connection information in social networks from both unsupervised and supervised learning paradigms. Here, using social connec- tion information is motivated by the intuition that people with similar academic, business or social background （e.g., co- major, co-university, and co-corporation） tend to have similar experiences and should have similar summaries. For unsu- pervised learning, we propose a collective ranking approach, called SocialRank, to combine textual information in an in- dividual profile and social context information from relevant profiles in generating a personal profile summary. For super- vised learning, we propose a collective factor graph model, called CoFG, to summarize personal profiles with local tex- tual attribute functions and social connection factors. Exten- sive evaluation on a large dataset from *** demon- strates the usefulness of social connection information in per- sonal profile summarization and the effectiveness of our pro- posed unsupervised and supervised learning approaches.

关键词： natural language processing machine learning,social networks personal profile summarization

EFFICIENT AND ACCURATE CHEBYSHEV DUAL-PETROV-G ALERKIN METHODS FOR ODD-ORDER DIFFERENTIAL EQUATIONS

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Journal of Computational Mathematics 2021年第1期39卷 43-62页

作者： Xuhong Yu Lusha Jin zhongqing wang School of Science University of Shanghai for Science and TechnologyShanghai 200093China

Efficient and accurate Chebyshev dual-Petrov-Galerkin methods for solving first-order equation,third-order equation,third-order KdV equation and fifth-order Kawahara equa-tion are proposed.Some Sobolev bi-orthogonal basis functions are constructed which lead to the diagonalization of discrete systems.Accordingly,both the exact solutions and the approximate solutions are expanded as an infinite and truncated Fourier-like series,respec-tively.Numerical experiments illustrate the effectiveness of the suggested approaches.

关键词： Chebyshev dual-Petrov-Galerkin method Sobolev bi-orthogonal polynomials Odd-order differential equations Numerical results.

Diagonalized Chebyshev Rational Spectral Methods for Second-Order Elliptic Problems on Unbounded Domains

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Numerical Mathematics(Theory,Methods and Applications) 2019年第1期12卷 265-284页

作者： Yanmin Ren Xuhong Yu zhongqing wang School of Science University of Shanghai for Science and TechnologyShanghai200093P.R.China

Diagonalized Chebyshev rational spectral methods for solving second-order elliptic problems on the half/whole line are proposed.Some Sobolev bi-orthogonal rational basis functions are constructed which lead to the diagonalization of discrete systems.Accordingly,both the exact solutions and the approximate solutions can be represented as infinite and truncated Fourier-like Chebyshev rational series.Numerical results demonstrate the effectiveness of the suggested approaches.

关键词： Chebyshev rational spectral methods Sobolev bi-orthogonal functions second-order elliptic equations numerical results

Jacobi-Sobolev Orthogonal Polynomialsand Spectral Methods for Elliptic Boundary Value Problems

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Communications on Applied Mathematics and Computation 2019年第2期1卷 283-308页

作者： Xuhong Yu zhongqing wang Huiyuan Li University of Shanghai for Science and Technology Shanghai 200093China State Key Laboratory of Computer Science/Laboratory of Parallel Computing Institute of SoftwareChinese Academy of SciencesBeijing 100190China

Generalized Jacobi polynomials with indexes α,β∈ R are introduced and some basic properties are established. As examples of applications,the second- and fourth-order elliptic boundary value problems with Dirichlet or Robin boundary conditions are considered,and the generalized Jacobi spectral schemes are proposed. For the diagonalization of discrete systems,the Jacobi-Sobolev orthogonal basis functions are constructed,which allow the exact solutions and the approximate solutions to be represented in the forms of infinite and truncated Jacobi series. Error estimates are obtained and numerical results are provided to illustrate the effectiveness and the spectral accuracy.

关键词： Generalized Jacobi polynomials Spectral method - Jacobi-Sobolev orthogonal basis functions Elliptic boundary value problems Error analysis

Legendre-Gauss Spectral Collocation Method for Second Order Nonlinear Delay Differential Equations

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Numerical Mathematics(Theory,Methods and Applications) 2014年第2期7卷 149-178页

作者： Lijun Yi zhongqing wang Department of Mathematics Shanghai Normal UniversityShanghai 200234China Division of Computational Science of E-institute of Shanghai Universities Shanghai 200234China

In this paper, we present and analyze a single interval Legendre-Gaussspectral collocation method for solving the second order nonlinear delay differentialequations with variable delays. We also propose a novel algorithm for the singleinterval scheme and apply it to the multiple interval scheme for more efficient implementation. Numerical examples are provided to illustrate the high accuracy ofthe proposed methods.

关键词： Legendre-Gauss spectral collocation method second order nonlinear delay differential equations error analysis

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结合对话状态信息的个性化对话回复生成

计算机科学 2024年第S1期51卷 143-149页

作者：桂海涛王中卿苏州大学计算机科学与技术学院江苏苏州215006

尽管个性化回复生成模型取得了显著成功,但这些研究都未能很好地考虑到对话状态信息对于个性化对话回复的影响。针对此问题,基于预训练生成模型提出了结合对话状态的自监督对话回复生成模型,该模型可以有效地对结合对话状态生成个性化... 详细信息

尽管个性化回复生成模型取得了显著成功,但这些研究都未能很好地考虑到对话状态信息对于个性化对话回复的影响。针对此问题,基于预训练生成模型提出了结合对话状态的自监督对话回复生成模型,该模型可以有效地对结合对话状态生成个性化的回复。首先,将对话状态纳入情景喜剧数据集中,以增强模型对上下文信息的理解能力。其次,采用自监督的训练技术,赋予预训练语言生成模型独特的对话文本特征知识,并采用多种掩码策略合并对话文本和对话状态,进一步提升模型性能。最后,基于历史对话,使用自监督生成模型生成个性化回复。在自行收集的情景喜剧数据集上进行性实验,结果表明,结合对话状态的对话回复生成模型在多项指标上优于一些强基准,进而证明了对话状态和个性化回复生成模型的有效性。

关键词：对话回复对话状态自监督预训练文本生成

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结合预训练的多文档摘要:研究

计算机科学 2024年第S1期51卷 174-181页

作者：丁一王中卿苏州大学计算机科学与技术学院江苏苏州215006

新闻文本摘要任务旨在从庞大复杂的新闻文本中快速准确地提炼出简明扼要的摘要。基于预训练语言模型对多文档摘要进行研究,重点研究结合预训练任务的具体模型训练方式对模型效果提升的作用,强化多文档之间的信息交流,以生成更全面、更... 详细信息

新闻文本摘要任务旨在从庞大复杂的新闻文本中快速准确地提炼出简明扼要的摘要。基于预训练语言模型对多文档摘要进行研究,重点研究结合预训练任务的具体模型训练方式对模型效果提升的作用,强化多文档之间的信息交流,以生成更全面、更简练的摘要。对于结合预训练任务,提出对基线模型、预训练任务内容、预训练任务数量、预训练任务顺序的对比实验,探索标记了行之有效的预训练任务,总结归纳了强化多文档之间的信息交流的具体方法,精炼提出了简明高效的预训练流程。在公开新闻多文档数据集上进行训练和测试,实验结果表明预训练任务的内容、数量、顺序对ROUGE值都有一定提升,并且整合三者结论提出的特定预训练组合对ROUGE值有明显提升。

关键词：新闻摘要: 预训练多文档信息交流

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