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| 1 | Sentiment analysis using deep learning approaches:an overview显示文摘Nowadays,with the increasing number of Web 2.0 tools,users generate huge amounts of data in an enormous and dynamic way.In this regard,the sentiment analysis appeared to be an important tool that allows the automation of getting insight from the user-generated data.Recently,deep learning approaches have been proposed for different sentiment analysis tasks and have achieved state-of-the-art results.Therefore,in order to help researchers to depict quickly the current progress as well as current issues to be addressed,in this paper,we review deep learning approaches that have been applied to various sentiment analysis tasks and their trends of development.This study also provides the performance analysis of different deep learning models on a particular dataset at the end of each sentiment analysis task.Toward the end,the review highlights current issues and hypothesized solutions to be taken into account in future work.Moreover,based on knowledge learned from previous studies,the future work subsection shows the suggestions that can be incorporated into new deep learning models to yield better performance.Suggestions include the use of bidirectional encoder representations from transformers(BERT),sentiment-specific word embedding models,cognition-based attention models,common sense knowledge,reinforcement learning,and generative adversarial networks. | Olivier HABIMANA Yuhua LI Ruixuan LI Xiwu GU Ge YU | 2020 | Science China(Information Sciences)2020，63，1： | 7 |
| 2 | A Novel Hybrid Method to Analyze Security Vulnerabilities in Android Applications显示文摘We propose a novel hybrid method to analyze the security vulnerabilities in Android applications.Our method combines static analysis,which consists of metadata and data flow analyses with dynamic analysis,which includes dynamic executable scripts and application program interface hooks.Our hybrid method can effectively analyze nine major categories of important security vulnerabilities in Android applications.We design dynamic executable scripts that record and perform manual operations to customize the execution path of the target application.Our dynamic executable scripts can replace most manual operations,simplify the analysis process,and further verify the corresponding security vulnerabilities.We successfully statically analyze 5547 malwares in Drebin and 10 151real-world applications.The average analysis time of each application in Drebin is 4.52 s,whereas it reaches 92.02 s for real-word applications.Our system can detect all the labeled vulnerabilities among 56 labeled applications.Further dynamic verification shows that our static analysis accuracy approximates 95%for real-world applications.Experiments show that our dynamic analysis can effectively detect the vulnerability named input unverified,which is difficult to be detected by other methods.In addition,our dynamic analysis can be extended to detect more types of vulnerabilities. | Junwei Tang Ruixuan Li Kaipeng Wang Xiwu Gu Zhiyong Xu | 2020 | Tsinghua Science and Technology2020，25，5： | 2 |
| 3 | A Formal Model for BPEL4WS Description of Web Service Composition显示文摘Communicating Sequential Processes (CSP) is a kind of process algebra, which is suitable for modeling and verifying Web service composition. This paper describes how to model Web service composition with CSP. A set of rules for translating composition constructor of Business Process Execution Language for Web Services (BPEL4WS) to CSP notations is defined. According to the rules that have been defined, the corresponding translation algorithm is designed and illustrated with examples . The methods for model checking, model verification and model simulation are also introduced. | GU Xiwu LU Zhengding | 2006 | Wuhan University Journal of Natural Sciences2006，11，5： | 2 |
| 4 | Cache Coherency Design in Pentium Ⅲ SMP System显示文摘This paper analyzes cache coherency mechanism from the view of system. It firstly discusses cache-memory hierarchy of Pentium Ⅲ SMP system, including memory area distribution, cache attributes control and bus transaction. Secondly it analyzes hardware snoopy mechanism of P6 bus and MESI state transitions adopted by Pentium Ⅲ. Based on these, it focuses on how multiprocessors and the P6 bus cooperate to ensure cache coherency of the whole system, and gives the key of cache coherency design. | LIU Jinsong ZHANG Jiangling GU Xiwu | 2006 | Wuhan University Journal of Natural Sciences2006，11，2： | 1 |
| 5 | Measuring social tag confidence: Is it a good or bad tag? 显示文摘 | Gu Xiwu Wang Xianbing Li Ruixuan | 2011 | Web - Age Information Management Lecture Notes in Computer Science2011，6897，： | 1 |
| 6 | Measuring social tag confidence: Is it a good or bad tags?显示文摘 | Gu Xiwu Wang Xianbing Li Ruixuan | 2011 | Lecture Notes in Com- puter Science2011，6897，1： | 1 |
| 7 | Role mining using answer set programming显示文摘 | Ye Wei Li Ruixuan Gu Xiwu | 2014 | Future Generation Computer Systems2014，26，6： | 1 |
| 8 | Detecting network communities using regularized spectral clustering algorithm显示文摘 | Liang Huang Ruixuan Li Hong Chen Xiwu Gu Kunmei Wen Yuhua Li | 2014 | Artificial Intelligence Review2014，，4： | 1 |
| 9 | Type-2 fuzzy description logic显示文摘描述逻辑(DL ) 广泛地在最近的语义网应用程序系统被采用。然而,当处理不精确的概念和角色时,古典描述逻辑被限制,因此为这个工作提供动机。在这份报纸,我们在场 type-2 有补充(ALC ) 的模糊归属的概念语言并且提供它的知识表示和推理算法。我们也建议 type-2 模糊的网本体论语言(猫头鹰) 到基于 type-2 造模糊本体论模糊 ALC 和分析推理算法的稳固,完全性,和复杂性。把模糊 ALC 比作 type-1,模糊 ALC 能描述的 type-2 不精确的知识更细致地由使用会员度间隔。我们基于 type-2 实现一个语义搜索引擎模糊 ALC 并且在真实数据上执行实验测试它的性能。结果证明模糊 ALC 能改进的 type-2 为不精确的信息的相关点击的数字寻找的精确和增加。 | Ruixuan LI Kunmei WEN Xiwu GU Yuhua LI Xiaolin SUN Bing LI | 2011 | Frontiers of Computer Science2011，5，2： | 0 |
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