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Syntactic word embedding based on dependency syntax and polysemous analysis None

Zhong-lin YE, Hai-xing ZHAO

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 524-535 doi: 10.1631/FITEE.1601846

Abstract: Most word embedding models have the following problems: (1) In the models based on bag-of-words contexts, the structural relations of sentences are completely neglected; (2) Each word uses a single embedding, which makes the model indiscriminative for polysemous words; (3) Word embedding easily tends to contextualTo solve these problems, we propose an easy-to-use representation algorithm of syntactic word embeddingExperimental results show that our model generates desirable word embedding in similarity evaluation

Keywords： Dependency-based context     Polysemous word representation     Representation learning     Syntactic word embedding    

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Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 109-118 doi: 10.1631/FITEE.1400147

Abstract: As a great challenge of network virtualization, virtual network embedding/mapping is increasingly importantconsidering the topological attributes which may pose significant impact on the performance of the embeddingIn this paper, a new embedding algorithm is proposed based on real-time topological attributes.A simulator is built to evaluate the performance of the proposed virtual network embedding (VNE) algorithm

Keywords： Virtual network embedding (VNE)     Real-time topological attributes     Betweenness centrality     Correlation    

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Corpus-based research on English word recognition rates in primary school and word selection strategy Article

Wen-yan XIAO,Ming-wen WANG,Zhen WENG,Li-lin ZHANG,Jia-li ZUO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 362-372 doi: 10.1631/FITEE.1601118

Abstract: In this paper, we develop an English webpage corpus (EWC) and create a word frequency list using webBy comparing EWC word lists with the British National Corpus (BNC), we find that the BNC word frequencyWe also explore primary school students’ English word recognition rates by comparing the word frequencyThe results show that the word recognition rates for primary school children are relatively low in bothMotivated by the experiment results, we finally propose some word-selection strategies for compiling

Keywords： Corpus     Primary English     Recognition rate     Word frequency     Coverage rate    

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Joint entity–relation knowledge embedding via cost-sensitive learning Article

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1867-1873 doi: 10.1631/FITEE.1601255

Abstract: As a joint-optimization problem which simultaneously fulfills two different but correlated embeddingtasks (i.e., entity embedding and relation embedding), knowledge embedding problem is solved in a jointembedding scheme.In this embedding scheme, we design a joint compatibility scoring function to quantitatively evaluateExperimental results demonstrate the effectiveness of our embedding scheme in characterizing the semantic

Keywords： Knowledge embedding     Joint embedding     Cost-sensitive learning    

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Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 212-223 doi: 10.1631/FITEE.1500255

Abstract: paper, we introduce a novel feature extraction method called local uncorrelated local discriminant embeddingThe proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework in

Keywords： Feature extraction     Local discriminant embedding     Local uncorrelated criterion     Face recognition    

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interpretation of textbook vocabulary lists: comments on Xiao et al.’s Corpus-based research on English wordrecognition rates in primary school and word selection strategy Correspondence

Qiong HU, Ming YUE

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 863-866 doi: 10.1631/FITEE.1700418

Abstract: Xiao et al. (2017)在对比分析4个语料库的基础上，提出国内小学六年级学生的识词率增长不能令人满意的观点，建议人教版小学英语通用教材总词汇在原有726个的基础上再增加903个，并删除twelfth（序数词，第十二）这样的低频词。作为外语教师和语言学家，我们赞同他们应用先进信息技术对传统词表进行评估的做法，但认为这项工作：1. 在构建参考语料库时需重视语料抽样的合理性；2. 在解读词频时需重视齐夫定律（Zipf’s law，即英语词频与词秩成反比）的作用——识字率增长随词汇量增加而减缓的情况是合理的；3. 在提出教材选词策略时，需考虑小学生认知特点和课业负担等现实因素限制，以及语言教育的总体目标，不能随便删除twelfth这样承载文化的词汇；4. 学龄儿童全国通用外语教材编写是项复杂的系统工程，需要各领域专家共同关注。

Keywords： 齐夫定律（Zipf’s law）；语料库；英语；教科书；词表    

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Preparation and characterization of a novel microorganism embedding material for simultaneous nitrification

Ming Zeng, Ping Li, Nan Wu, Xiaofang Li, Chang Wang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0961-3

Abstract: A novel microorganism embedding material was prepared to enhance the biological nitrogen removal throughrate and high nitrogen removal efficiency, which is a favorable additional agent to the traditional embedding

Keywords： Immobilization technology     Nitrogen removal     Cyclodextrin     Microbial community     Wastewater treatment    

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Performance analysis of new word weighting procedures for opinion mining Article

G. R. BRINDHA,P. SWAMINATHAN,B. SANTHI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1186-1198 doi: 10.1631/FITEE.1500283

Abstract: and to enhance opinion mining analysis, we propose a novel weighting scheme, referred to as inferred wordIWW is computed based on the significance of the word in the document (SWD) and the significance of theword in the expression (SWE) to enhance their performance.

Keywords： Inferred word weight     Opinion mining     Supervised classification     Support vector machine (SVM)     Machine    

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Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy

Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 547-557 doi: 10.1007/s11465-020-0595-1

Abstract: Carbon fiber reinforced polymer (CFRP) composites have excellent mechanical properties, specifically, high specific stiffness and strength. However, most CFRP composites exhibit poor impact resistance. To overcome this limitation, this study presents a new plain-woven CFRP composite embedded with superelastic shape memory alloy (SMA) wires. Composite specimens are fabricated using the vacuum-assisted resin injection method. Drop-weight impact tests are conducted on composite specimens with and without SMA wires to evaluate the improvement of impact resistance. The material models of the CFRP composite and superelastic SMA wire are introduced and implemented into a finite element (FE) software by the explicit user-defined material subroutine. FE simulations of the drop-weight impact tests are performed to reveal the superelastic deformation and debonding failure of the SMA inserts. Improvement of the energy absorption capacity and toughness of the SMA-CFRP composite is confirmed by the comparison results.

Keywords： carbon fiber reinforced polymer composite     shape memory alloy wire     impact resistance     drop-weight test     finite element simulation    

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A forwarding graph embedding algorithm exploiting regional topology information Article

Hong-chao HU, Fan ZHANG, Yu-xing MAO, Zhen-peng WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1854-1866 doi: 10.1631/FITEE.1601404

Abstract: We formulate the forwarding graph embedding (FGE) problem as a binary integer programming problem, whichWe then design a novel regional resource clustering metric to quantify the embedding potential of each

Keywords： Network function virtualization     Virtual network function     Forwarding graph embedding    

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Reversible data hiding using a transformer predictor and an adaptive embedding strategy Research Article

Linna ZHOU, Zhigao LU, Weike YOU, Xiaofei FANG,zhoulinna@bupt.edu.cn,luchen@uir.edu.cn,ywk@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1143-1155 doi: 10.1631/FITEE.2300041

Abstract: In the field of (RDH), designing a high-precision predictor to reduce the embedding distortion and developingan effective embedding strategy to minimize the distortion caused by embedding information are the twoIn this paper, we propose a new RDH method, including a predictor based on a and a novel embedding strategywith multiple embedding rules.Finally, we provide an embedding strategy including multiple embedding rules for the first time.

Keywords： Reversible data hiding     Transformer     Adaptive embedding strategy    

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Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900571

Abstract: this study, a novel framework based on is proposed to address such problems, in which a new hybrid embedding
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Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

Luo Wencai,Luo Shishan,Wang Zhenguo

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 51-55

Abstract:

Multi-method collaborative optimization algorithm based on embedding collaboration is advanced.It uses embedding structure to collaborate different kinds of optimization methods, and makes use ofA multimethod collaborative optimization algorithm base on embedding collaboration is designed, whichResults show that multi-method collaborative optimization algorithm based on embedding collaboration

Keywords： multimethod collaborative optimization algorithm     embedding collaboration     genetic algorithm     pattern search    

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A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing Article

Yaoyao Bao, Yuanming Zhu, Feng Qian

Engineering 2022, Volume 18, Issue 11,   Pages 186-196 doi: 10.1016/j.eng.2022.04.025

Abstract: tremendous achievements of meta-learning in various fields, this paper proposes the local quadratic embedding

Keywords： Local quadratic embedding     Metric learning     Regression machine     Soft sensor    

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An artificial intelligence based method for evaluating power grid node importance using network embedding Research Papers

Hui-fang WANG, Chen-yu ZHANG, Dong-yang LIN, Ben-teng HE

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 816-828 doi: 10.1631/FITEE.1800146

Abstract: First, using a network embedding approach, a feature extraction method is designed for power grid nodes

Keywords： Power grid     Artificial intelligence     Node importance     Text-associated DeepWalk     Network embedding     Support    

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Title Author Date Type Operation

Syntactic word embedding based on dependency syntax and polysemous analysis

Zhong-lin YE, Hai-xing ZHAO

Journal Article

Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Journal Article

Corpus-based research on English word recognition rates in primary school and word selection strategy

Wen-yan XIAO,Ming-wen WANG,Zhen WENG,Li-lin ZHANG,Jia-li ZUO

Journal Article

Joint entity–relation knowledge embedding via cost-sensitive learning

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Journal Article

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

interpretation of textbook vocabulary lists: comments on Xiao et al.’s Corpus-based research on English wordrecognition rates in primary school and word selection strategy

Qiong HU, Ming YUE

Journal Article

Preparation and characterization of a novel microorganism embedding material for simultaneous nitrification

Ming Zeng, Ping Li, Nan Wu, Xiaofang Li, Chang Wang

Journal Article

Performance analysis of new word weighting procedures for opinion mining

G. R. BRINDHA,P. SWAMINATHAN,B. SANTHI

Journal Article

Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy

Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG

Journal Article

A forwarding graph embedding algorithm exploiting regional topology information

Hong-chao HU, Fan ZHANG, Yu-xing MAO, Zhen-peng WANG

Journal Article

Reversible data hiding using a transformer predictor and an adaptive embedding strategy

Linna ZHOU, Zhigao LU, Weike YOU, Xiaofei FANG,zhoulinna@bupt.edu.cn,luchen@uir.edu.cn,ywk@bupt.edu.cn

Journal Article

Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

Luo Wencai,Luo Shishan,Wang Zhenguo

Journal Article

A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing

Yaoyao Bao, Yuanming Zhu, Feng Qian

Journal Article

An artificial intelligence based method for evaluating power grid node importance using network embedding

Hui-fang WANG, Chen-yu ZHANG, Dong-yang LIN, Ben-teng HE

Journal Article