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| 1 | Differently implicational α-universal triple I restriction method of (1, 2, 2) type显示文摘From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α-triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method. | Yiming Tang Fuji Ren Yanxiang Chen | 2012 | Journal of Systems Engineering and Electronics2012，23，4： | 5 |
| 2 | Semi-Automatic Complex Emotion Categorization and Ontology Construction from Chinese Knowledge显示文摘In order to recognize one's intention from the communication,both the meaning and the emotion are necessary to be interpreted correctly.But until now the study of fine-grained theory of emotion is still full of challenges.This paper analyzes emotion category according to the statistics of Affective Word(AW) hierarchy and describes an emotion ontology from Chinese knowledge resource semi-automatically created for human machine interaction.The emotion hierarchy is called complex emotion.Firstly,over 7 000 AWs have been annotated and their detailed explanations had been collected for an affective lexicon and then the consistent relationships are automatically parsed and a serial of emotion hierarchical structures are built up.More than 50 affective categories are extracted by a lexical clustering algorithm and about 5 000 nouns and adjectives and 2 000 verbs are categorized into the predicate hierarchy.The results have been evaluated to be valid by two metrics. | Jiang Peilin Wang Fei Ren Fuji | 2012 | China Communications2012，9，3： | 2 |
| 3 | Predicting Complex Word Emotions and Topics through a Hierarchical Bayesian Network显示文摘In this paper,we provide a Word Emotion Topic(WET) model to predict the complex word emotion information from text,and discover the distribution of emotions among different topics.A complex emotion is defined as the combination of one or more singular emotions from following 8 basic emotion categories:joy,love,expectation,surprise,anxiety,sorrow,anger and hate.We use a hierarchical Bayesian network to model the emotions and topics in the text.Both the complex emotions and topics are drawn from raw texts,without considering any complicated language features.Our experiment shows promising results of word emotion prediction,which outperforms the traditional parsing methods such as the Hidden Markov Model and the Conditional Random Fields(CRFs) on raw text.We also explore the topic distribution by examining the emotion topic variation in an emotion topic diagram. | Kang Xin Ren Fuji | 2012 | China Communications2012，9，3： | 2 |
| 4 | GA, MR, FFNN, PNN and GMM Based Models for Automatic Text Summarization 显示文摘 | Abdel Fattah Mohamed Ren Fuji | 2009 | Computer Speech and Language2009，，23： | 1 |
| 5 | An Information Retrieval Model Based on Vector Space Method by Supervised Learning显示文摘 | Tai Xiaoying Ren Fuji Kenji K | 2002 | Information Processing and Management2002，38，6： | 1 |
| 6 | From Cloud Computing to Language Engineer- ing, Affective Computing and Advanced Intelligence显示文摘 | REN Fuji | 2010 | Journal of Advanced Intelligence2010，2，1： | 1 |
| 7 | CERG:Chinese Emotional Response Generator with Retrieval Method显示文摘The dialogue system has always been one of the important topics in the domain of artificial intelligence.So far,most of the mature dialogue systems are task-oriented based,while non-task-oriented dialogue systems still have a lot of room for improvement.We propose a data-driven non-task-oriented dialogue generator“CERG”based on neural networks.This model has the emotion recognition capability and can generate corresponding responses.The data set we adopt comes from the NTCIR-14 STC-3 CECG subtask,which contains more than 1.7 million Chinese Weibo post-response pairs and 6 emotion categories.We try to concatenate the post and the response with the emotion,then mask the response part of the input text character by character to emulate the encoder-decoder framework.We use the improved transformer blocks as the core to build the model and add regularization methods to alleviate the problems of overcorrection and exposure bias.We introduce the retrieval method to the inference process to improve the semantic relevance of generated responses.The results of the manual evaluation show that our proposed model can make different responses to different emotions to improve the human-computer interaction experience.This model can be applied to lots of domains,such as automatic reply robots of social application. | Yangyang Zhou Fuji Ren | 2020 | Research2020，，1： | 1 |
| 8 | Current Situation and Development of Intelligence Robots显示文摘 | REN Fuji SUN Xiao | 2016 | ZTE Communications2016，14，B12： | 1 |
| 9 | Detecting New Words from Chinese Text Using Latent Semi-CRF Models 显示文摘 | SUN Xiao HUANG Degen REN Fuji | 2010 | IEICE Transactions on Information and Systems2010，93，6： | 1 |
| 10 | An information retrieval model based on vector space method by supervised learning 显示文摘 | Tai Xiaoying Ren Fuji Kita Kenji | 2002 | Information Processing and Mangement2002，38，6： | 1 |
| 11 | Emotion and Cognitive Reappraisal Based on GSRWearable Sensor显示文摘Various wearable equipment enables us to measure people behavior by physiological signals.In our research,we present one galvanic skin reaction(GSR)wearable sensor which can analyze human emotions based on cognition reappraisal.First,We research the factors of emotional state transition in Arousal-Valence-Stance(AVS)emotional space.Second,the influence of the cognition on emotional state transition is considered,and the reappraisal factor based on Gross regulation theory is established to correct the effectiveness from cognitive reappraisal ability to emotional state transition.Third,based on the previous work,we establish a GSR emotion sensing system for predicting emotional state transition and considering the correlation between GSR signals and emotions.Finally,an overall wearable sensor layout is built.In the experiment part,we invited 30 college students to wear our GSR sensors and watch 14 kinds of affective videos.We recorded their GSR signals while asking them to record their emotional states synchronously.The experiment results show different reappraisal factors can predict subjects’emotional state transition well and indirectly confirm the feasibility of the Gross regulation theory. | LI Minjia XIE Lun WANG Zhiliang REN Fuji | 2017 | ZTE Communications2017，15，B12： | 1 |
| 12 | Emotion Analysis on Social Big Data显示文摘In this paper,we describe a method of emotion analysis on social big data.Social big data means text data that is emerging on Internet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis.Because these data are constructed by manual annotation,their quality is high but their quantity is low.If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data,we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications,which we could not know before.In this paper,we create an emotion analysis model that integrate the highquality emotion corpus and the automaticconstructed corpus that we created in our past studies,and then analyze a large-scale corpus consisting of Twitter tweets based on the model.As the result of time-series analysis on the large-scale corpus and the result of model evaluation,we show the effectiveness of our proposed method. | REN Fuji Kazuyuki Matsumoto | 2017 | ZTE Communications2017，15，B12： | 1 |
| 13 | Affective Information Processing and Recognizing Human Emotion显示文摘 | REN Fuji | 2009 | Electronic Notes in Theoretical Comput- er Science2009，225，： | 1 |
| 14 | A Blog Emotion Corpus for E- motional Expression Analysis in Chinese 显示文摘 | QUAN Changqin REN Fuji | 2010 | Computer Speech and Language2010，24，1： | 1 |
| 15 | Adaptive Threshold Parameters for Bilingual Dictionary Extraction from the Internet Archive显示文摘 | Fattah M A Ren Fuji Shingo K | 2005 | International Journa Information2005，8，1： | 1 |
| 16 | Recognition of Word Emotion State in Sentences显示文摘 | QUAN Changqin REN Fuji | 2011 | IEEJ Transaction on Electrical And Electronic Engineering2011，6，1： | 1 |
| 17 | A blog emotion corpus for emotional expression analysis in Chinese 显示文摘 | Changqin Quan Fuji Ren | 2010 | Computer Speech and Language2010，56，24： | 1 |
| 18 | COVID-19 reinfection in the presence of neutralizing antibodies显示文摘Due to the high transmissibility of the SARS-CoV-2 virus,it continues to infect over 300000 people worldwide per day(WHO statistics,December 2020),even almost one year after the first COVID-19 cases were confirmed[1,2].One of the most important public health discussions being undertaken currently concerns the protective nature of the immune response and the possibility of reinfection in recovered individuals. | Ju Zhang Nan Ding Lili Ren Rui Song Danying Chen Xuesen Zhao Budong Chen Junyan Han Jiarui Li Yangzi Song Lin Di Kai Han Fengting Yu Ruming Xie Zhihai Chen Wen Xie Jingyuan Liu Shan Cen Yuhai Bi Angela R.Wu Fujie Zhang Chen Chen Hui Zeng | 2021 | National Science Review2021，8，4： | 1 |
| 19 | Chinese information retrieval:using characters or words显示文摘 | Jian-Yun Nie Fuji Ren | 1999 | Information Processing and Management1999，35，4： | 1 |
| 20 | Advanced Information Re- trieval显示文摘 | REN Fuji BRACEWELL B D | 2009 | Electronic Notes in Theoretical Computer Sci- ence2009，225，1： | 1 |
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