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学者姓名：廖湖声
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Abstract ：
针对多视角数据间互补与一致特性难以刻画问题,提出一种基于图卷积神经网络的多视角聚类方法。通过对样本不同视角间相同邻接子图基于图卷积神经网络学习到的表达进行约束,有效挖掘了多视角数据间的一致特性。通过共享图卷积神经网络参数、学习不同视角完整邻接图嵌入表达并串接得到多视角表达,有效挖掘了多视角数据间的互补特性。对上述多视角表达增加相对熵约束,使得最终学习到的多视角表达得以提升并符合聚类特性。在五个数据集上均取得了最好的聚类效果,说明所提出的基于图卷积神经网络的聚类方法可以有效挖掘视角间互补与一致特性并提升聚类性能。
Keyword ：
相对熵 相对熵 图卷积神经网络 图卷积神经网络 多视角聚类 多视角聚类
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| GB/T 7714 | 李勇振 , 廖湖声 . 基于图卷积神经网络的多视角聚类 [J]. | 计算机工程与应用 , 2021 , 57 (05) : 115-122 . |
| MLA | 李勇振 等. "基于图卷积神经网络的多视角聚类" . | 计算机工程与应用 57 . 05 (2021) : 115-122 . |
| APA | 李勇振 , 廖湖声 . 基于图卷积神经网络的多视角聚类 . | 计算机工程与应用 , 2021 , 57 (05) , 115-122 . |
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Abstract ：
基于图卷积神经网络的多视角聚类
Keyword ：
图卷积神经网络 图卷积神经网络 相对熵 相对熵 多视角聚类 多视角聚类
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| GB/T 7714 | 李勇振 , 廖湖声 , 计算机工程与应用 . 基于图卷积神经网络的多视角聚类 [J]. | 李勇振 , 2021 , 57 (5) : 115-122 . |
| MLA | 李勇振 等. "基于图卷积神经网络的多视角聚类" . | 李勇振 57 . 5 (2021) : 115-122 . |
| APA | 李勇振 , 廖湖声 , 计算机工程与应用 . 基于图卷积神经网络的多视角聚类 . | 李勇振 , 2021 , 57 (5) , 115-122 . |
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Abstract ：
Multi-view clustering, which explores complementarity and consistency among multiple distinct feature sets to boost clustering performance, is becoming more and more useful in many real-world applications. Traditional approaches usually map multiple views to a unified embedding, in which some weighted mechanisms are utilized to measure the importance of each view. The embedding, serving as a clustering friendly representation, is then sent to extra clustering algorithms. However, a unified embedding cannot cover both complementarity and consistency among views and the weighted scheme measuring the importance of each view as a whole ignores the differences of features in each view. Moreover, because of lacking in proper grouping structure constraint imposed on the unified embedding, it will lead to just multi-view representation learned, which is not clustering friendly. In this paper, we propose a novel multi-view clustering method to alleviate the above problems. By dividing the embedding of a view into unified and view-specific vectors explicitly, complementarity and consistency can be reflected. Besides, an adversarial learning process is developed to force the above embeddings to be non-trivial. Then a fusion strategy is automatically learned, which will adaptively adjust weights for all the features in each view. Finally, a Kullback-Liebler (KL) divergence based objective is developed to constrain the fused embedding for clustering friendly representation learning and to conduct clustering. Extensive experiments have been conducted on various datasets, performing better than the state-of-the-art clustering approaches.
Keyword ：
Clustering friendly representation learning Clustering friendly representation learning Multi-view clustering Multi-view clustering Adaptive view fusion Adaptive view fusion Adversarial view embedding Adversarial view embedding
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| GB/T 7714 | Li, Yongzhen , Liao, Husheng . Multi-view clustering via adversarial view embedding and adaptive view fusion [J]. | APPLIED INTELLIGENCE , 2020 , 51 (3) : 1201-1212 . |
| MLA | Li, Yongzhen 等. "Multi-view clustering via adversarial view embedding and adaptive view fusion" . | APPLIED INTELLIGENCE 51 . 3 (2020) : 1201-1212 . |
| APA | Li, Yongzhen , Liao, Husheng . Multi-view clustering via adversarial view embedding and adaptive view fusion . | APPLIED INTELLIGENCE , 2020 , 51 (3) , 1201-1212 . |
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Abstract ：
This paper proposes a new kind of pushdown transducer ExPDT to do XML data stream evaluation effectively and efficiently for XPath queries with parallel predicates, multilevel nested predicates and predicates with value. Compared with relative researches, ExPDT expands the support of XPath queries, and the experiment shows that it improves the performance of XML data stream evaluation. © 2019 IEEE.
Keyword ：
Data streams Data streams XML XML Transducers Transducers
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| GB/T 7714 | Jin, Xueyun , Liao, Husheng . ExPDT: An extended pushdown transducer for xml stream processing [C] . 2019 : 1048-1052 . |
| MLA | Jin, Xueyun 等. "ExPDT: An extended pushdown transducer for xml stream processing" . (2019) : 1048-1052 . |
| APA | Jin, Xueyun , Liao, Husheng . ExPDT: An extended pushdown transducer for xml stream processing . (2019) : 1048-1052 . |
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Abstract ：
To improve the detective ability of complex event processing (CEP), we combine interval temporal logic (ITL) and regular expression in pattern description of event streams constraint. We propose different timed automata to support varied ITL. The pattern described by regular expression improves the simplicity of the pattern description. Meanwhile, we have implemented above technique in a CEP system to test performance. The experimental evaluation shows that the pattern can be efficiently and accurately matched.
Keyword ：
Interval temporal logic Interval temporal logic Complex event processing Complex event processing Regular expression Regular expression
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| GB/T 7714 | Zhang, Jia-wei , Liao, Hu-sheng , Gao, Hong-yu et al. Research on Complex Event Detection over Streams Supporting Interval Temporal Logic and Regular Expression Pattern Matching [C] . 2018 : 464-470 . |
| MLA | Zhang, Jia-wei et al. "Research on Complex Event Detection over Streams Supporting Interval Temporal Logic and Regular Expression Pattern Matching" . (2018) : 464-470 . |
| APA | Zhang, Jia-wei , Liao, Hu-sheng , Gao, Hong-yu , Su, Chang . Research on Complex Event Detection over Streams Supporting Interval Temporal Logic and Regular Expression Pattern Matching . (2018) : 464-470 . |
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Abstract ：
The ordered regular tree pattern can be used for processing complex events on XML stream data. It not only can constrain the structural relationships among events, but also can constrain sequential constraint. The ordered regular tree pattern has strong descriptive ability for complex events. In order to further improve the query processing efficiency of the ordered regular tree model, this paper presents a method to optimize the ordered normal tree using the semantic information and structure information of DTD. Experimental results show that this optimization method can effectively improve the execution efficiency of the ordered regular tree pattern.
Keyword ：
ordered regular tree pattern ordered regular tree pattern DTD DTD query optimization query optimization XML stream data XML stream data complex event detection complex event detection
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| GB/T 7714 | E Xinyu , Liao Husheng , Su Hang . Research on XML Ordered Regular Tree Pattern Optimization Method [C] . 2018 : 229-234 . |
| MLA | E Xinyu et al. "Research on XML Ordered Regular Tree Pattern Optimization Method" . (2018) : 229-234 . |
| APA | E Xinyu , Liao Husheng , Su Hang . Research on XML Ordered Regular Tree Pattern Optimization Method . (2018) : 229-234 . |
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Abstract ：
XML tree pattern query, also known as Twig query, is the core operation in XML query processing. In the research of the Twig query algorithm, TreeMatch is considered to be one of the best algorithms because it reduces the generation of intermediate results. However, in the core operation getNext of the TreeMatch algorithm, there are many calculations that depend only on Twig mode. This redundant duplicate calculation affects the performance of the TreeMatch algorithm when there are many getNext calls. In order to further improve the algorithm, this paper proposes a Twig query optimization method based on partial evaluation and hot-trace compilation. This method takes Twig mode as an invariant to perform partial evaluation and translates query requests into a Twig query machine instruction sequence. The duplication calculation of the Twig pattern during the query process is avoided, and the process of interpretation of the instruction sequence of the query machine is optimized by using the hot trace compilation technique. The comparison experiment shows that the optimization method based on partial evaluation and hot-trace compilation can increase the efficiency of twig query by 20% to 60%. © 2018 Totem Publisher, Inc. All rights reserved.
Keyword ：
XML XML Forestry Forestry
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| GB/T 7714 | He, Zhixue , Wang, Huan , Liao, Husheng . An optimization method for XML twig query [J]. | International Journal of Performability Engineering , 2018 , 14 (10) : 2309-2319 . |
| MLA | He, Zhixue et al. "An optimization method for XML twig query" . | International Journal of Performability Engineering 14 . 10 (2018) : 2309-2319 . |
| APA | He, Zhixue , Wang, Huan , Liao, Husheng . An optimization method for XML twig query . | International Journal of Performability Engineering , 2018 , 14 (10) , 2309-2319 . |
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Abstract ：
近年来,随着大数据时代的到来,大数据处理平台发展迅速,产生了诸如Hadoop,Spark,Storm等优秀的大数据处理平台,其中Spark最为突出。随着Spark在国内外的广泛应用,其许多性能问题尚待解决。由于Spark底层的执行机制极为复杂,用户很难找到其性能瓶颈,更不要说进一步的优化。针对以上问题,从开发原则优化、内存优化、配置参数优化、调度优化、Shuffle过程优化5个方面对目前国内外的Spark优化技术进行总结和分析。最后,总结了目前Spark优化技术新的核心问题,并提出了未来的主要研究方向。
Keyword ：
内存优化 内存优化 调度优化 调度优化 开发原则优化 开发原则优化 Shuffle过程优化 Shuffle过程优化 参数优化 参数优化 Spark Spark
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| GB/T 7714 | 廖湖声 , 黄珊珊 , 徐俊刚 et al. Spark性能优化技术研究综述 [J]. | 计算机科学 , 2018 , 45 (07) : 7-15,37 . |
| MLA | 廖湖声 et al. "Spark性能优化技术研究综述" . | 计算机科学 45 . 07 (2018) : 7-15,37 . |
| APA | 廖湖声 , 黄珊珊 , 徐俊刚 , 刘仁峰 . Spark性能优化技术研究综述 . | 计算机科学 , 2018 , 45 (07) , 7-15,37 . |
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Abstract ：
为使复杂事件处理语言满足股票分析、故障监控等行业的细粒度查询需求,本文为一种复杂事件处理语言CEStream扩展支持细粒度数据处理的用户自定义函数功能。函数通过对数据逐个处理和函数重载实现细粒度处理功能。同时函数内可调用原有语句,给用户提供基础的模块化功能,提高语言的复用性。实验结果表明扩展的函数功能使语言能够支持更细粒度的查询需求,同时在完成相同查询需求时使用函数相对于使用原有语句完成系统吞吐量基本相同。
Keyword ：
事件处理语言 事件处理语言 复杂事件处理 复杂事件处理 自定义函数 自定义函数
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| GB/T 7714 | 刘婧妍 , 廖湖声 , 高红雨 . 一种复杂事件处理语言的自定义函数功能扩展 [J]. | 计算机与现代化 , 2018 , (10) : 26-31 . |
| MLA | 刘婧妍 et al. "一种复杂事件处理语言的自定义函数功能扩展" . | 计算机与现代化 10 (2018) : 26-31 . |
| APA | 刘婧妍 , 廖湖声 , 高红雨 . 一种复杂事件处理语言的自定义函数功能扩展 . | 计算机与现代化 , 2018 , (10) , 26-31 . |
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Abstract ：
复杂事件处理技术是流数据查询的常见手段，随着数据多元化的发展，查询的复杂度急剧提升，其处理性能面临极大地挑战。为了提高多源复杂事件查询的处理效率，本文提出一种新的查询分解方案，提高集群资源利用率；针对事件源匹配，将查询中的筛选与事件源匹配中的筛选相结合设计了专用优化方案。实验证明以上方法能够有效地提高复杂事件查询效率。
Keyword ：
Pattern Match Pattern Match Query Optimization Query Optimization 查询优化Complex Event Processing 查询优化Complex Event Processing 复杂事件处理 复杂事件处理 模式匹配 模式匹配
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| GB/T 7714 | 苏畅 , 廖湖声 , 高红雨 et al. 多源复杂事件检测中查询计划生成与优化技术的研究 [J]. | 软件工程与应用 , 2018 , 7 (02) : 75-83 . |
| MLA | 苏畅 et al. "多源复杂事件检测中查询计划生成与优化技术的研究" . | 软件工程与应用 7 . 02 (2018) : 75-83 . |
| APA | 苏畅 , 廖湖声 , 高红雨 , 张嘉伟 . 多源复杂事件检测中查询计划生成与优化技术的研究 . | 软件工程与应用 , 2018 , 7 (02) , 75-83 . |
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