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QUAN Changqin
Graduate School of System Informatics / Department of System Informatics
Associate Professor

Researcher basic information

■ Research Keyword
  • Intelligent Robotics
  • Human Computer Interaction
  • Affective Computing
  • Natural Language Processing
  • Artificial Intelligence
■ Research Areas
  • Informatics / Biological, health, and medical informatics
  • Informatics / Human interfaces and interactions
  • Informatics / Intelligent informatics

Research activity information

■ Award
  • 2024 オートメーションと計測の先端技術総合展IIFES2024最優秀賞

  • 2020 システム制御情報学会, 第64回システム制御情報学会研究発表講演会 (SCI'20)学生優秀発表賞

  • 2020 システム制御情報学会, 第64回システム制御情報学会研究発表講演会 (SCI'20)感謝状

  • 2019 システム制御情報学会, 第63回システム制御情報学会研究発表講演会 (SCI'19)学生優秀発表賞

  • Oct. 2017 Executive committee of of the 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'17), Best Paper Award

  • Jan. 2015 Executive committee of of 2015 IEEE International Conference on Mechatronics and Automation, Best Paper Finalist Award

  • Mar. 2013 Executive committee of of 2013 IEEE/SICE International Symposium on System Integration, Best Paper Finalist Award

  • Oct. 2012 Chinese Association for Artificial Intelligence, China's Intelligent Science and Technology Award, Theory and application of emotion calculation & artificial psychology

  • Jul. 2011 Executive committee of of 2011 IEEE Natural Language Processing and Knowledge Engineering, Best Paper Award, Selecting clause emotion for sentence emotion recognition

  • Oct. 2009 IEEE NLP-KE'09 Best Paper Award, Recognizing Sentence Emotions Based on Polynomial Kernel Method Using Ren-CECps

  • Jun. 2009 財団法人NEC C&C財団, NEC C&C国際会議優秀論文賞

■ Paper
  • Kaori Abe, Changqin Quan, Sheng Cao, Zhiwei Luo
    As the linguistic capabilities of dialogue systems improve, the importance of how they interact with humans and build trustworthy relationships is increasing. This study investigated the effect of interaction structures in a generative AI-driven dialogue system to improve relationships through interactions. The dialogue system communicated with subjects in natural language via voice and included a facial expression function. The settings of dyadic and triadic interaction structures were applied to the system. The one-to-one dyadic interaction and triadic interaction with joint attention to a topic were designed following the developmental stages of children’s social communication ability. Subjective evaluations of the dialogues and the system were conducted through a questionnaire. As a result, positive evaluations were based on well-constructed structures. The system’s inappropriate behavior under failed structures reduced the quality of the dialogues and worsened the evaluation of the system. The interaction structures in the system settings needed to match the structures intended by the subjects, whether the structures were dyadic or triadic. Under the matching and successful construction, the system fully demonstrated its dialogue capability and behaved pleasantly with the subjects. By switching interaction structures to adapt to users’ demands, system behavior becomes more appropriate for users.
    MDPI AG, May 2025, Applied Sciences, 15(9) (9), 5092 - 5092, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Applying Federated Learning to Medical and Health Information
    Changqin QUAN
    May 2025, Japanese Journal of Optics, 54(5) (5), 197 - 201
    [Invited]
    Scientific journal

  • Kaori Abe, Changqin Quan, Sheng Cao, Zhiwei Luo
    As the linguistic capabilities of AI-based dialogue systems improve, their human-likeness is increasing, and their behavior no longer receives a universal evaluation. To better adapt to users, the consideration of individual preferences is required. In this study, the relationships between the properties of a human-like dialogue system and dialogue evaluations were investigated using hierarchical cluster analysis for individual subjects. The dialogue system driven by generative AI communicated with subjects in natural language via voice-based communication and featured a facial expression function. Subjective evaluations of the system and dialogues were conducted through a questionnaire. Based on the analysis results, the system properties were classified into two types: generally and individually relational to a positive evaluation of the dialogue. The former included inspiration, a sense of security, and collaboration, while the latter included a sense of distance, personality, and seriousness. Equipping the former properties is expected to improve dialogues for most users. The latter properties should be adjusted to individuals since they are evaluated based on individual preferences. A design approach in accordance with individuality could be useful for making human-like dialogue systems more comfortable for users.
    MDPI AG, Mar. 2025, Applied Sciences, 15(7) (7), 3466 - 3466
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • GPT2モデルを用いた感情を考慮する日本語対話生成
    竹原 和輝, 全 昌勤
    Mar. 2025, 言語処理学会第31回年次大会(NLP2025)発表論文集

  • Dynamic Simulation Based Analysis of Assisted Standing-up Motion
    Sheng Cao, Zhiwei Luo, Changqin Quan
    Feb. 2025, ICIC Express Letters, English
    [Refereed]
    Scientific journal

  • Dynamic Simulation Based Analysis of Assisted Standing-Up Motion
    Sheng Cao, Zhiwei Luo, Changqin Quan
    Sep. 2024, The 18th International Conference on Innovative Computing, Information and Control (ICICIC2024), 2024, English
    International conference proceedings

  • Deep Variational Approach for Generating Optimal Koopman Operator of Nonlinear System
    Sheng Cao, Zhiwei Luo, Changqin Quan
    Jul. 2024, 2024 IEEE International Conference on Advanced Robotics and Mechatronics, English
    International conference proceedings

  • Subjective Evaluation of Dialogues with Dyadic and Triadic Interactions Using a ChatGPT-Based Dialogue System
    Kaori Abe, Changqin Quan, Sheng Cao, Zhiwei Luo
    Jun. 2024, International Conference on Soft Computing and Intelligent Systems, English
    International conference proceedings

  • Online Inverse Optimal Control for Time-Varying Cost Weights
    Cao, Sheng, Luo, Zhiwei, Quan, Changqin
    Inverse optimal control is a method for recovering the cost function used in an optimal control problem in expert demonstrations. Most studies on inverse optimal control have focused on building the unknown cost function through the linear combination of given features with unknown cost weights, which are generally considered to be constant. However, in many real-world applications, the cost weights may vary over time. In this study, we propose an adaptive online inverse optimal control approach based on a neural-network approximation to address the challenge of recovering time-varying cost weights. We conduct a well-posedness analysis of the problem and suggest a condition for the adaptive goal, under which the weights of the neural network generated to achieve this adaptive goal are unique to the corresponding inverse optimal control problem. Furthermore, we propose an updating law for the weights of the neural network to ensure the stability of the convergence of the solutions. Finally, simulation results for an example linear system are presented to demonstrate the effectiveness of the proposed strategy. The proposed method is applicable to a wide range of problems requiring real-time inverse optimal control calculations.
    Feb. 2024, Biomimetics, 9(2) (2), 84, English
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Sequential Inverse Optimal Control of Discrete-Time Systems
    Sheng Cao, Zhiwei Luo, Changqin Quan
    Sep. 2023, IEEE/CAA Journal of Automatica Sinica
    Link to Kobe Univ. Repository (Kernel)

  • Sequential Inverse Optimal Control of Discrete System
    Sheng Cao, Changqin Quan, Zhiwei Luo
    Jul. 2023, Proceedings of International Conference on Control, Decision and Information Technologies (CoDIT)
    Link to Kobe Univ. Repository (Kernel)

  • Sheng Cao, Zhiwei Luo, Changqin Quan
    In this study, we investigated dynamic control strategies for over-constrained cable-driven robots. In order to control a cable-driven robot, it is essential to address issues that arise from the restriction of cable tension, as well as to the redundancy issues that arise from an over-constrained cable-driven system. To control the amount of tension applied, we introduced a tension function that incorporates the hyperbolic tangent function. In contrast to previous research that required consideration of the relationship between tension constraints and computed control wrench in tension distribution problems, we developed a tension function that incorporates the hyperbolic tangent function, which allows tension to always satisfy tension constraints and eliminates the consideration of constraints at each step. The gradient descent method was applied to this tension function to determine an appropriate distribution of tension for the computed wrench. In order to manage tension distribution optimization for achieving objectives such as energy conservation, we provide a practical method to simultaneously realize the necessary wrench and the appropriate tension distribution. Compared with studies that focus on the complex analysis of the structure matrix to solve the tension distribution problem, the tension distribution issue is handled in a straightforward manner in our method, providing the solutions to other problems, such as discontinuity in the calculated wrench, and requirements of changing the cable’s force level during movement. The simulation results and results of comparison with other methods show the effectiveness of the method.
    Last, MDPI AG, Dec. 2022, Applied Sciences, 13(1) (1), 10 - 10, English
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Online Inverse Optimal Control for Time-Varying Cost Weights Using Neural Network Approximation
    Sheng Cao, Zhiwei Luo, Changqin Quan
    Sep. 2022, The 30th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, 45 - 48, English
    Symposium

  • Deep learning method of body pose transfer using BBM Loss function
    余 昊聡, 全 昌勤, 曹 晟, 羅 志偉
    Sep. 2022, The 30th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, 21 - 25, English
    Symposium

  • Changqin Quan, Kang Ren, Zhiwei Luo, Zhonglue Chen, Yun Ling
    Lead, Elsevier BV, Apr. 2022, Biocybernetics and Biomedical Engineering, 42(2) (2), 556 - 574
    [Refereed]
    Scientific journal

  • Finite-time Consensus of Linear Multi-agent Systems via Time-based Event-triggered Control
    Ziyang Cheng, Sheng Cao, Changqin Quan, Kohei Mori, Zhiwei luo
    Apr. 2022, システム情報学会論文誌, 35(11) (11), English
    [Refereed]
    Scientific journal

  • On Distributed Event-triggered Controller with Aperiodic Event Detection for Finite-time Consensus of Multi-agent Systems
    Ziyang Cheng, Changqin Quan, Kohei Mori, Sheng Cao, Zhiwei luo
    Apr. 2022, システム情報学会論文誌, 35(8) (8), English
    [Refereed]
    Scientific journal

  • Wenjun Bai, Changqin Quan, ZhiWei Luo
    AbstractConcerning facial expression generation, relying on the sheer volume of training data, recent advances on generative models allow high-quality generation of facial expressions free of the laborious facial expression annotating procedure. However, these generative processes have limited relevance to the psychological conceptualised dimensional plane, i.e., the Arousal-Valence two-dimensional plane, resulting in the generation of psychological uninterpretable facial expressions. For this, in this research, we seek to present a novel generative model, targeting learning the psychological compatible (low-dimensional) representations of facial expressions to permit the generation of facial expressions along the psychological conceptualised Arousal-Valence dimensions. To generate Arousal-Valence compatible facial expressions, we resort to a novel form of the data-driven generative model, i.e., the encapsulated variational auto-encoders (EVAE), which is consisted of two connected variational auto-encoders. Two harnessed variational auto-encoders in our EVAE model are concatenated with a tuneable continuous hyper-parameter, which bounds the learning of EVAE. Since this tuneable hyper-parameter, along with the linearly sampled inputs, largely determine the process of generating facial expressions, we hypothesise the correspondence between continuous scales on the hyper-parameter and sampled inputs, and the psychological conceptualised Arousal-Valence dimensions. For empirical validations, two public released facial expression datasets, e.g., the Frey faces and FERG-DB datasets, were employed here to evaluate the dimensional generative performance of our proposed EVAE. Across two datasets, the generated facial expressions along our two hypothesised continuous scales were observed in consistent with the psychological conceptualised Arousal-Valence dimensions. Applied our proposed EVAE model to the Frey faces and FERG-DB facial expression datasets, we demonstrate the feasibility of generating facial expressions along with the conceptualised Arousal-Valence dimensions. In conclusion, to generate facial expressions along the psychological conceptualised Arousal-Valance dimensions, we propose a novel type of generative model, i.e., encapsulated variational auto-encoders (EVAE), allowing the generation process to be disentangled into two tuneable continuous factors. Validated in two publicly available facial expression datasets, we demonstrate the association between these factors and Arousal-Valence dimensions in facial expression generation, deriving the data-driven Arousal-Valence plane in affective computing. Despite its embryonic stage, our research may shed light on the prospect of continuous, dimensional affective computing.
    Springer Science and Business Media LLC, Jan. 2022, Cognitive Computation, English
    [Refereed]
    Scientific journal

  • Adaptive Impedance Control of A Robot Manipulator Considering Passivity
    孫文可, CAO Sheng, 森耕平, QUAN Changqin, LUO Zhiwei
    2022, 計測自動制御学会関西支部・システム制御情報学会シンポジウム(CD-ROM), 2021

  • 深層学習を用いた地震波の時系列信号による地盤地質推定
    陳 冉, 全 昌勤, 曹 晟, 森 耕平, 羅 志偉
    2022, 第66回システム制御情報学会研究発表講演会(SCI'22)

  • Mask-based contour inpainting for pose-guided human image generation
    余 昊聡, 全 昌勤, 曹 晟, 森 耕平, 羅 志偉
    2022, 第66回システム制御情報学会研究発表講演会(SCI'22)

  • Ziyang Chen, Changqin Quan, Kohei Mori, Sheng Cao, Zhiwei Luo
    The Institute of Systems, Control and Information Engineers, 2022, Transactions of the Institute of Systems, Control and Information Engineers, 35(2) (2), 68 - 74, English
    [Refereed]
    Scientific journal

  • Research on Self-Triggered Controller for Finite-Time Consensus of Multi-Agent System
    Zi-Yang Cheng, Changqin Quan, Kohei Mori, Sheng Cao, Zhiwei Luo
    Oct. 2021, 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021(ICECCME) (ICECCME), 1 - 6, English
    [Refereed]
    International conference proceedings

  • Tomohiro Fujita, Zhiwei Luo, Changqin Quan, Kohei Mori, Sheng Cao
    This paper studies a novel recurrent neural network (RNN) with hyperbolic secant (sech) in the gate for a specific medical application task of Parkinson’s disease (PD) detection. In detail, it focuses on the fact that patients with PD have motor speech disorders, by converting the voice data into black-and-white images of a recurrence plot (RP) at specific time intervals and constructing the detection model that combines RNN and convolutional neural network (CNN); the study evaluates the performance of the RNN with sech gate compared with long short-term memory (LSTM) and gated recurrent unit (GRU) with conventional gates. As a result, the proposed model obtained similar results to LSTM and GRU (an average accuracy of about 70%) with less hyperparameters, resulting in faster learning. In addition, in the framework of the RNN with sech in gate, the accuracy obtained by using tanh as the output activation function is higher than using the relu function. The proposed method will see more improvement by increasing the data in the future. More analysis on the input sound type, the RP image size, and the deep learning structures will be included in our future work for further improving the performance of PD detection from voice.
    MDPI AG, May 2021, Applied Sciences, 11(10) (10), 4361 - 4361, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Structure Construction and Performance Analysis of RNN Aiming for Reduction of Calculation Costs
    Tomohiro Fujita, Zhiwei Luo, Changqin Quan, Kohei Mori
    Apr. 2021, Transactions of the Institute of Systems, Control and Information Engineers, 34(4) (4), 1 - 9, English
    [Refereed]
    Scientific journal

  • 路上駐車を考慮した交差点の交通シミュレーション
    山本 晃央, 森 耕平, 全 昌勤, 曹 晟, 羅 志偉
    システム制御情報学会, 2021, 第65回システム制御情報学会研究発表講演会(SCI'21), 65, 55 - 57, Japanese

  • リカレンスプロットにおける%DETに着目した時系列データ解析
    井川 祥太, 森 耕平, 全 昌勤, 曹 晟, 羅 志偉
    システム制御情報学会, 2021, 第65回システム制御情報学会研究発表講演会(SCI'21), 65, 204 - 209, Japanese

  • ヒューマンエラーを考慮したシステムの信頼性解析
    前山 一登, 曹 晟, 森 耕平, 全 昌勤, 羅 志偉
    2021, 第65回システム制御情報学会研究発表講演会(SCI'21)

  • Speech Classification of Parkinson’s Disease Based on Deep Learning of Recurrence Plot
    藤田倫弘, QUAN C. Q., 森耕平, SHENG C., LUO Z. W.
    2021, システム制御情報学会研究発表講演会講演論文集(CD-ROM), 65th

  • OpenPose によるパーキンソン患者の症状識別
    本荘 友毅, 羅 志偉, 森 耕平, 全 昌勤, 曹 晟
    2021, 第38回センシングフォーラム

  • Sensing and dynamics analysis of sit-to-stand movement
    塩見竜希, CAO Sheng, 森耕平, QUAN Changqin, LUO Zhiwei
    2021, センシングフォーラム資料(CD-ROM), 38th

  • On Characterized Japanese Dialogue Generation
    前田研吾, QUAN Changqin, LUO Zhiwei, 森耕平, CAO Sheng
    2021, 計測自動制御学会関西支部・システム制御情報学会シンポジウム(CD-ROM), 2020

  • Changqin Quan, Kang Ren, Zhiwei Luo
    Lead, 2021, IEEE Access, 9, 10239 - 10252, English
    [Refereed]
    Scientific journal

  • Simplification of RNN and Its Performance Evaluation In Machine Translation
    Tomohiro Fujita, Zhiwei Luo, Changqin Quan, Kohei Mori
    Oct. 2020, Transactions of the Institute of Systems, Control and Information Engineers, 33(10) (10), 267 - 274, English
    [Refereed]
    Scientific journal

  • A Hybrid Deep Learning Model for Protein-protein Interactions Extraction from Biomedical Literature
    Changqin Quan, Zhiwei Luo, Song Wang
    Lead, Apr. 2020, Applied Sciences, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • RNNにおけるゲート構造と機能解析
    藤田倫弘, 全昌勤, 羅志偉, 森耕平
    Mar. 2020, 2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム

  • Ying Zhao, Zhiwei Luo, Changqin Quan, Dianchao Liu, Gang Wang
    Feb. 2020, PATTERN RECOGNITION, 98, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • 下肢リハビリテーションのための身体力学解析
    江藤恒夫, 羅志偉, 全昌勤, 森耕平, 曹晟, 藤野圭司
    Jan. 2020, 第64回システム制御情報学会研究発表講演会(SCI'20)

  • ニューラルネットワークを用いた Twitter 情報による世論分析
    前田 研吾, 全 昌勤, 羅 志偉, 森 耕平
    2020, 2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム

  • 深層学習を用いた非けいれん性てんかん発作の識別
    小池 智哉, 羅 志偉, 永瀬 裕朗, 丸山 あずさ, 森 耕平, 全 昌勤
    2020, 2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム 2020年

  • ロボット技術を用いた上肢運動リハビリテーション
    能勢 拓磨, 曹 晟, 全 昌勤, 森 耕平, 羅 志偉
    2020, 2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム

  • Stiffness Estimation for Spinal Rehabilitation
    東孝幸, CAO Sheng, QUAN Changqin, 森耕平, LUO Zhiwei
    2020, 計測自動制御学会関西支部・システム制御情報学会シンポジウム(CD-ROM), 2019

  • 画像認識を用いた株価予測の分析
    小島 一也, 曹 晟, 全 昌勤, 羅 志偉
    2020, 2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム

  • ベクトル場を用いたSLAMの研究
    塩崎 亮, 曹 晟, 全 昌勤, 森 耕平, 羅 志偉
    2020, 2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム

  • 単語の活用に着目した効率的な自然言語生成
    前田 研吾, 全 昌勤, 羅 志偉
    Corresponding, 2020, 第64回システム制御情報学会研究発表講演会 (SCI'20)

  • Harnessing Generated Instance-Specific Neutral Expressions in Facial Expression Classification
    BAI WENJUN, 全 昌勤, 羅 志偉
    2020, 第64回システム制御情報学会研究発表講演会 (SCI'20)

  • Hyperbolic Tangent Function based Tension Distribution Design for Cable-Driven Robot
    CAO Sheng, LUO Zhiwei, MORI Kohei, QUAN Changqin
    2020, システム制御情報学会研究発表講演会講演論文集(CD-ROM), 64th

  • Ying Zhao, Zhiwei Luo, Changqin Quan, Dianchao Liu, Gang Wang
    Jan. 2020, Proceedings of the 26th International Conference, MMM 2020, 11962, 226 - 238, English
    [Refereed]
    International conference proceedings

  • Learning Optimal Human-Robot Interaction Control Considering Robot's Passivity
    CAO Sheng, LUO Zhiwei, QUAN Changqin, MORI Kohei
    2019, システム制御情報学会研究発表講演会講演論文集(CD-ROM), 63rd, English

  • テキスト情報処理におけるRNNの構造と性能解析
    藤田 倫弘, 全 昌勤, 羅 志偉
    2019, 第63回システム制御情報学会研究発表講演会 (SCI’19)

  • Adaptive Control Design of Multi-robot System with Connection Uncertainty
    CHENG Zi-yang, CAO Sheng, LUO Zhi-wei, MORI Kohei, QUAN Chang-qin
    2019, システム制御情報学会研究発表講演会講演論文集(CD-ROM), 63rd, English

  • Wenjun Bai, Changqin Quan, Zhi-Wei Luo
    Springer International Publishing, 2019, Studies in Computational Intelligence book series, 63 - 74
    [Refereed]
    In book

  • Learning Flexible Latent Representations via Encapsulated Variational Encoder
    Wenjun Bai, Changqin Quan, Zhiwei Luo
    Jan. 2019, Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), English
    [Refereed]
    International conference proceedings

  • Improving Generative and Discriminative Modelling Performance by Implementing Learning Constraints in Encapsulated Variational Autoencoders
    Wenjun Bai, Changqin Quan, Zhiwei Luo
    2019, Applied Sciences, 2019(9) (9), English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Yu Wang, Fuji Ren, Changqin Quan
    Last, Nov. 2018, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 13(11) (11), 1603 - 1611, English
    [Refereed]
    Scientific journal

  • Ying Zhao, Zhiwei Luo, Changqin Quan
    Last, Apr. 2018, EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 9(3) (3), 271 - 286, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Wenjun Bai, Changqin Quan, Zhiwei Luo
    MDPI AG, Feb. 2018, Applied Sciences (Switzerland), 8(2) (2), 1 - 22, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • An exploration of integrating rich representation of neural network for question type classification
    Chanqin Quan, Lei Hua, Xiao Sun, Fuji Ren
    Lead, 2018, International Journal of Advanced Intelligence, 9(3) (3), 271 - 286, English
    [Refereed]
    Scientific journal

  • Hard Label Relaxation in Biased Pictorial Sentiment Discrimination
    Wenjun Bai, Changqin Quan, Zhiwei Luo
    Dec. 2017, Proceedings of the 2th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'17), English
    [Refereed]
    International conference proceedings

  • Changqin Quan, Bin Zhang, Xiao Sun, Fuji Ren
    Lead, Jul. 2017, INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 14(4) (4), 1 - 9, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Tomohiro Fujita, Wenjun Bai, Changqin Quan
    Last, IEEE Computer Society, Jun. 2017, Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017), 483 - 487, English
    [Refereed]
    International conference proceedings

  • Text Mining and Pattern Clustering for Relation Extraction of Breast Cancer and Related Genes
    Koya Kawashima, Wenjun Bai, Changqin Quan
    Last, Jun. 2017, Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017), English
    [Refereed]
    International conference proceedings

  • Alleviating Adversarial Attacks via Convolutional Autoencoder
    Wenjun Bai, Changqin Quan, Zhiwei Luo
    Jun. 2017, Proceedings of The 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017), English
    [Refereed]
    International conference proceedings

  • Xiao Sun, Chongyuan Sun, Changqin Quan, Fuji Ren, Fang Tian, Kunxia Wang
    Nowadays, with the rapid development of B2C e-commerce and the popularity of online shopping, the Web storages huge number of product reviews comment by customers. A large number of reviews made it difficult for manufacturers or potential customers to track the comments and suggestions that customers made. This paper presents a method for extracting emotional elements containing emotional objects and emotional words and their tendencies from product reviews based on mixed model. First we constructed conditional random fields to extract emotional elements, lead-in semantic and word meaning as features to improve the robustness of feature template and used rules for hierarchical filtering errors. Then we constructed support vector machine to classify the emotional tendency of the fine-grained elements to achieve key information from product reviews. Deep semantic information imported based on neural network to improve the traditional bag of word model. Experimental results show that the proposed model with deep features efficiently improved the F-Measure.
    Jan. 2017, International Journal of Networked and Distributed Computing, Vol.5(No.1) (No.1), 1 - 11, English
    [Refereed]
    Scientific journal

  • Passive Velocity Field Control of a Redundant Cable-Driven Robot with Tension Limitations
    Sheng Cao, Zhiwei Luo, Changqin Quan
    Last, 2017, Journal of Mechanics Engineering and Automation, 2017, 132 - 144, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Estimaion of an Object's Physical Parameter by Force Sensors of a Dual-arm Robot
    Sheng Cao, Zhiwei Luo, Changqin Quan
    2017, Journal of Mechanics Engineering and Automation, 2017(7) (7), 120 - 131, English
    [Refereed]
    Scientific journal

  • On Observer-based Robust Passive Impedance Control of a Robot Manipulator
    Sheng Cao, Zhiwei Luo, Changqin Quan
    2017, Journal of Mechanics Engineering and Automation, 2017(7) (7), 71 - 78, English
    [Refereed]
    Scientific journal

  • On Energy-based Robust Passive Impedance Control of a Robot Manipulator
    Sheng Cao, Zhiwei Luo, Changqin Quan
    2017, Journal of Mechanics Engineering and Automation, 2017, 65 - 70, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Fine-Grained Emotion Elements Extraction and Tendency Judgment Based on Mixed Model
    Xiao Sun, Man LV, Changqin Quan, Fang Tian, Fuji Ren
    2017, Information Engineering Express, 3(4) (4), 21 - 32, English
    [Refereed]
    Scientific journal

  • A Factored POMDP Representation for Intelligent Tutoring System
    Yu Wang, Zhong Huang, Chanqin Quan, Fuji Ren
    2017, International Journal of Advanced Intelligence, 9(3) (3), 299 - 312, English
    [Refereed]
    Scientific journal

  • Fine-Grained Emotion Analysis Based on Mixed Model for Product Review
    Xiao Sun, Chongyuan Sun, Changqin Quan, Fuji Ren, Fang Tian, Kunxia Wang
    Jan. 2017, INTERNATIONAL JOURNAL OF NETWORKED AND DISTRIBUTED COMPUTING, 5(1) (1), 1 - 11, English
    [Refereed]
    Scientific journal

  • A Multi-granularity Data Augmentation based Fusion Neural Network Model for Short Text Sentiment Analysis
    Xiao Sun, Jiajin He, Changqin Quan
    Last, 2017, 2017 SEVENTH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION WORKSHOPS AND DEMOS (ACIIW), 12 - 17, English
    [Refereed]
    International conference proceedings

  • Improved Facial Expression Recognition Method Based on ROI Deep Convolutional Neutral Network
    Xiao Sun, Man Lv, Changqin Quan, Fuji Ren
    2017, 2017 SEVENTH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII), 256 - 261, English
    [Refereed]
    International conference proceedings

  • Ying Zhao, Zhiwei Luo, Changqin Quan
    Last, 2017, 2017 14TH CONFERENCE ON COMPUTER AND ROBOT VISION (CRV 2017), 248 - 255, English
    [Refereed]
    International conference proceedings

  • Changqin Quan, Fuji Ren
    Lead, Feb. 2016, INFORMATION SCIENCES, 329, 581 - 596, English
    [Refereed]
    Scientific journal

  • Changqin Quan, Fuji Ren
    Lead, 2016, ENTERPRISE INFORMATION SYSTEMS, 10(4) (4), 422 - 443, English
    [Refereed]
    Scientific journal

  • A Novel Approach for Assessing Prospective Memory using Immersive Virtual Reality Task
    Dong Dong, Lawrence K. F. Wong, Zhiwei Luo, Changqin Quan
    Last, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 1888 - 1893, English
    [Refereed]
    International conference proceedings

  • Lei Hua, Chanqin Quan
    Last, 2016, BIOMED RESEARCH INTERNATIONAL, 1 - 9, English
    [Refereed]
    Scientific journal

  • Sheng Cao, Nishida Kazuki, Changqin Quan, Zhiwei Luo
    2016, INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 52(3-4) (3-4), 943 - 950, English
    [Refereed]
    Scientific journal

  • Developing a Japanese Adverb-Emotion Corpus to Investigate the Effect of Adverbs in Japanese Sentence Emotion Classification
    Yan Sun, Fuji Ren, Xing Kang and Changqin Quan
    2016, International Journal of Advanced Intelligence, 99 - 116, English
    [Refereed]
    Scientific journal

  • Performance of Convolution Neural Network on the Recognition of Speech Emotion and Images
    Bing Zhang, Changqin Quan, Fuji Ren
    Lead, 2016, International Journal of Advanced Intelligence, 8(1) (1), 12 - 21, English
    [Refereed]
    Scientific journal

  • A hybrid kernel based method for relation extraction and gene-disease interaction network construction
    Lei Hua, Changqin Quan, Fuji Ren
    Lead, 2016, International Journal of Advanced Intelligence, 8(1) (1), 31 - 45, English
    [Refereed]
    Scientific journal

  • Chanqin Quan, Lei Hua, Xiao Sun, Wenjun Bai
    Lead, 2016, BIOMED RESEARCH INTERNATIONAL, English
    [Refereed]
    Scientific journal

  • Fuji Ren, Yu Wang, Changqin Quan
    Last, 2016, JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 31(1) (1), 127 - 136, English
    [Refereed]
    Scientific journal

  • Yuka Sano, Changqin Quan, Zhiwei Luo
    2016, INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 52(3-4) (3-4), 935 - 942, English
    [Refereed]
    Scientific journal

  • Akihito Seki, Changqin Quan, Zhiwei Luo, Tomoyuki Shimozono, Kazuaki Miyata
    2016, INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 52(3-4) (3-4), 927 - 934, English
    [Refereed]
    Scientific journal

  • Non-contact, Real-time Monitoring of Heart Rate with a Webcam with Application during Water-Bed Massage
    Akihito Seki, Changqin Quan, Zhiwei Luo
    2016, 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 1703 - 1708, English
    [Refereed]
    International conference proceedings

  • Study on CNN in the Recognition of Emotion in Audio and Images
    Bin Zhang, Changqin Quan, Fuji Ren
    2016, 2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS), 319 - 323, English
    [Refereed]
    International conference proceedings

  • On robotic rehabilitation of human dual arms' coordinative function
    Sheng Cao, Nishida Kazuki, Changqin Quan, Zhiwei Luo
    Dec. 2015, Proceedings from the 17th International Symposium on Applied Electromagnetics and Mechanics

  • Yan Sun, Changqin Quan, Xin Kang, Zuopeng Zhang, Fuji Ren
    Dec. 2015, INFORMATION TECHNOLOGY & MANAGEMENT, 16(4) (4), 303 - 311, English
    [Refereed]
    Scientific journal

  • Improvements in Convolutional Neural Network for Recognizing Emotion in Speech
    Bing Zhang, Changqin Quan, Fuji Ren
    Oct. 2015, Proceedings of the 10th International Conference on Natural Language Processing and Knowledge Engineering, English
    [Refereed]
    International conference proceedings

  • Semi-supervised method for sentiment classification
    Xiquan Wei, Changqin Quan, Fuji Ren
    Oct. 2015, Proceedings of the 10th International Conference on Natural Language Processing and Knowledge Engineering, English
    [Refereed]
    International conference proceedings

  • Fuji Ren, XIN KANG, Changqin Quan
    Suicide has been a major cause of death throughout the world. Recent studies have proved a reliable connection between the emotional traits and suicide. However, detection and prevention of suicide are mostly carried out in the clinical centers, which limits the effective treatments to a restricted group of people. To assist detecting suicide risks among the public, we propose a novel method by exploring the accumulated emotional information from people's daily writings (i.e. Blogs), and examining these emotional traits which are predictive of suicidal behaviors. A complex emotion topic (CET) model is employed to detect the underlying emotions and emotion-related topics in the Blog streams, based on eight basic emotion categories and five levels of emotion intensities. Since suicide is caused through an accumulative process, we propose three accumulative emotional traits, i.e., accumulation, covariance, and transition of the consecutive Blog emotions, and employ a generalized linear regression algorithm to examine the relationship between emotional traits and suicide risk. Our experiment results suggest that the emotion transition trait turns to be more discriminative of the suicide risk, and that the combination of three traits in linear regression would generate even more discriminative predictions. A classification of the suicide and non-suicide Blog articles in our additional experiment verifies this result. Finally, we conduct a case study of the most commonly mentioned emotion-related topics in the suicidal Blogs, to further understand the association between emotions and thoughts for these authors.
    Last, Jul. 2015, IEEE Journal of Biomedical and Health Informatics, Vol.20(No.5) (No.5), 1384 - 1396, English
    [Refereed]
    Scientific journal

  • Fuji Ren, Yu Wang, Changqin Quan
    A new dialogue management model for affective dialogue system, which aims to provide a service of information inquiry and affective interaction, is proposed in this paper. First, we construct two finite state machines (TFSM) to model the user and the system, respectively, and simulate the dialogue process as an information exchange between the two state machines. All possible state transitions in dialogue and its probabilities of the user are summarized as a user model, which is helpful for the system to inference and predict the user's internal states. Second, we further discuss the implementation methods of information inquiry and emotional response modules. Finally, we employ the return function of partially observable Markov decision processes (POMDP) model to analyze and evaluate the TFSM-based dialogue management model. The experimental results not only show the relationships between the average returns, recognition error rates, and state transition probabilities but also confirm that our TFSM-based dialogue management model outperforms the conventional FSM model.
    Last, Apr. 2015, IEEJ Transactions on Electrical and Electronic Engineering (TEEE), 1 - 7, English
    [Refereed]
    Scientific journal

  • Gene-disease Relation Extraction and Gene Interaction Network Construction
    Lei Hua, Changqin Quan, Fuji Ren
    Mar. 2015, Proceedings of the 7th International Conference on Bioinformatics and Computational Biology (BICoB), English
    [Refereed]
    International conference proceedings

  • Estimation of an Object's Physical Parameter by Force Sensors of a Dual-arm Robot
    Sheng Cao, Zhiwei Luo, Changqin Quan
    2015, 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 715 - 720, English
    [Refereed]
    International conference proceedings

  • Review of Dialogue Management Methods in Spoken Dialogue System
    Yu Wang, Fuji Ren, Changqin Quan
    Last, 2015, Computer Science, 6(4) (4), Chinese
    [Refereed]
    Scientific journal

  • Overview of Speech Synthesis in Development and Methods
    Bing Zhang, Changqin Quan, Fuji Ren
    2015, Journal of Chinese Computer Systems, 2015(36) (36), Chinese
    [Refereed]
    Scientific journal

  • Exploiting salient semantic analysis for information retrieval
    Jin Luo, Bo Meng, Changqin Quan, Xinhui Tu
    2015, Enterprise Information Systems, English
    [Refereed]
    Scientific journal

  • Feature–level Sentiment Analysis by Using Comparative Domain Corpora
    Changqin Quan, Fuji Ren
    Lead, 2015, Enterprise Information Systems, English
    [Refereed]
    Scientific journal

  • Facial Expression Recognition based on Gabor Wavelet Transform and Histogram of Oriented Gradients
    Xiaoming Xu, Changqin Quan, Fuji Ren
    2015, 2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2117 - 2122, English
    [Refereed]
    International conference proceedings

  • Changqin Quan, Meng Wang, Fuji Ren
    Lead, Jul. 2014, PLOS ONE, 9(7) (7), English
    [Refereed]
    Scientific journal

  • Changqin Quan, Fuji Ren
    Lead, Jul. 2014, INFORMATION SCIENCES, 272(10) (10), 16 - 28, English
    [Refereed]
    Scientific journal

  • Expression Image Preprocessing based on Wavelet Transform
    Changqin Quan, XiaomingXu, Fuji Ren
    Lead, 2014, 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014, 2374 - 2377, English
    [Refereed]
    International conference proceedings

  • Dynamic Facial Expression Recognition based on K-order Emotional Intensity Model
    Changqin Quan, Yao Qian, Fuji Ren
    Lead, 2014, 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014, 1164 - 1168, English
    [Refereed]
    International conference proceedings

  • JOINED CEPSTRAL DISTANCE FEATURES TWO-STAGE MULTI-CLASS CLASSIFICATION FOR EMOTIONAL SPEECH
    Changqin Quan, Bin Zhang, Fuji Ren
    Lead, 2014, 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS), 91 - 96, English
    [Refereed]
    International conference proceedings

  • COMPARISON OF SVM CLASSIFICATION METHOD AND SEMANTIC SIMILARITY METHOD FOR SENTIMENT CLASSIFICATION
    Changqin Quan, Xiquan Wei, Fuji Ren
    Lead, 2014, 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS), 23 - 28, English
    [Refereed]
    International conference proceedings

  • Word Frequency Statistics Model for Chinese Base Noun Phrase Identification
    Lu Kong, Fuji Ren, Xiao Sun, Changqin Quan
    Last, 2014, INTELLIGENT COMPUTING METHODOLOGIES, 8589, 635 - 644, English
    [Refereed]
    International conference proceedings

  • The Role of Pre-processing in Twitter Sentiment Analysis
    Yanwei Bao, Changqin Quan, Lijuan Wang, Fuji Ren
    2014, INTELLIGENT COMPUTING METHODOLOGIES, 8589, 615 - 624, English
    [Refereed]
    International conference proceedings

  • Gene–disease association extraction by text mining and network analysis
    Changqin Quan, Fuji Ren
    Lead, 2014, Proceedings of the Fifth International Workshop on Health Text Mining and Information Analysis, 54 - 63, English
    [Refereed]
    International conference proceedings

  • Dynamic Facial Expression Recognition based on K-order Emotional Intensity Model and Facial Expression Sequences
    Yao Qian, Changqin Quan
    Last, 2014, International Journal of Advanced Intelligence, 1(6) (6), 35 - 48, English
    [Refereed]
    Scientific journal

  • A Novel PTSVM Algorithm for Twitter Sentiment Analysis
    Yanwei Bao, Changqin Quan
    Last, 2014, International Journal of Advanced Intelligence, 6(1) (1), 1 - 11, English
    [Refereed]
    Scientific journal

  • A Hybrid Feature Extraction Method for Text Orientation Analysis
    Lijuan Wang, Changqin Quan
    Last, 2014, International Journal of Advanced Intelligence, 6(1) (1), 49 - 59, English
    [Refereed]
    Scientific journal

  • Visualizing Emotions from Chinese Blogs by Textual Emotion Analysis and Recognition Techniques
    Changqin Quan, Fuji Ren
    Lead, 2014, International Journal of Information Technology & Decision Making, English
    [Refereed]
    Scientific journal

  • Target Based Review Classification for Fine-grained Sentiment Analysis
    Changqin Quan, Fuji Ren
    Lead, 2014, International Journal of Innovative Computing, Information and Control, 10(1) (1), 257 - 268, English
    [Refereed]
    Scientific journal

  • Construction of a Chinese Emotion Lexicon from Ren-CECps
    Lijuan Wang, Changqin Quan, Yanwei Bao, Fuji Ren
    2014, INTELLIGENT COMPUTING METHODOLOGIES, 8589, 625 - 634, English
    [Refereed]
    International conference proceedings

  • A New Preprocessing Algorithm and Local Binary Pattern Based Facial Expression Recognition
    Yao Qian, Fuji Ren, Changqin Quan
    Last, 2013, 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 239 - 244, English
    [Refereed]
    International conference proceedings

  • Reduce the Dimensions of Emotional Features by Principal Component Analysis for Speech Emotion Recognition
    Changqin Quan, Dongyu Wan, Bin Zhang, Fuji Ren
    2013, 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 222 - 226, English
    [Refereed]
    International conference proceedings

  • Microblogging Hot Events Emotion Analysis Based on Ren-CECps
    Ning Liu, Fuji Ren, Xiao Sun, Changqin Quan
    2013, 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 233 - 238, English
    [Refereed]
    International conference proceedings

  • Combine Sentiment Lexicon and Dependency Parsing for Sentiment Classification
    Changqin Quan, Xiquan Wei, Fuji Ren
    Lead, 2013, 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 100 - 104, English
    [Refereed]
    International conference proceedings

  • Enriching Mental Engineering
    Fuji Ren, Changqin Quan, Kazuyuki Matsumoto
    Lead, 2013, International Journal of Innovative Computing, Information and Control, 9(8) (8), 1 - 12, English
    [Refereed]
    Scientific journal

  • Finding Emotional Focus for Emotion Recognition at Sentence Level
    Quan Changqin, Ren Fuji
    Lead, Jan. 2013, CHINESE JOURNAL OF ELECTRONICS, 22(1) (1), 99 - 103, English
    [Refereed]
    Scientific journal

  • Fuji Ren, Changqin Quan
    Dec. 2012, INFORMATION TECHNOLOGY & MANAGEMENT, 13(4) (4), 321 - 332, English
    [Refereed]
    Scientific journal

  • A Japanese Adverb‐Emotion Corpus for Japanese Emotion Analysis
    Yan Sun, Fuji Ren, Xin Kang, Changqin Quan
    Last, 2012, Proceedings of the 8th International Conference on Natural Language Processing and Knowledge Engineering, English
    [Refereed]
    International conference proceedings

  • POMDP Based Affective Model and It’s Application on An Intelligent Music Player
    Yu Wang, Lian Li,Fuji Ren, Changqin Quan
    Last, 2012, Proceedings of the 8th International Conference on Natural Language Processing and Knowledge Engineering, English
    [Refereed]
    International conference proceedings

  • Using Salient Semantic Analysis to Improve Information Retrieval
    Jing Luo, Bo Meng, Changqin Quan, Xinhui Tu
    2012, Proceedings of the 8th International Conference on Natural Language Processing and Knowledge Engineering, English
    [Refereed]
    International conference proceedings

  • Semantic Orientation Extraction of Chinese Phrases by Discriminative Model and Global Features
    Xiao Sun, Changqin Quan, Fuji Ren
    2012, Proceedings of the 8th International Conference on Natural Language Processing and Knowledge Engineering, English
    [Refereed]
    International conference proceedings

  • Feature Based Review Classification for Fine-grained Sentiment Analysis
    Changqin Quan, Xiao Sun, Fuji Ren
    Lead, 2012, Proceedings of the 8th International Conference on Natural Language Processing and Knowledge Engineering, English
    [Refereed]
    International conference proceedings

  • Changqin Quan, Fuji Ren
    Lead, 2011, NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 194 - 198, English
    [Refereed]
    International conference proceedings

  • Changqin Quan, Fuji Ren
    Lead, 2011, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 6(s1) (s1), S34 - S41, English
    [Refereed]
    Scientific journal

  • Changqin Quan, Fuji Ren
    Lead, Oct. 2010, COMPUTER SPEECH AND LANGUAGE, 24(4) (4), 726 - 749, English
    [Refereed]
    Scientific journal

  • SENTIMENTAL CLASSIFICATION BASED ON KERNEL METHODS AND DOMAIN SEMANTIC ORIENTATION DICTIONARIES
    Changqin Quan, Fuji Ren, Tingting He
    Lead, Jun. 2010, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 6(6) (6), 2681 - 2690, English
    [Refereed]
    Scientific journal

  • Cheng Wang, Changqin Quan, Fuji Ren
    2010, Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010, English
    [Refereed]
    International conference proceedings

  • Automatic Annotation of Word Emotion in Sentences Based on Ren-CECps
    Changqin Quan, Fuji Ren
    Lead, 2010, LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 1146 - 1151, English
    [Refereed]
    International conference proceedings

  • Changqin Quan, Tingting He, Fuji Ren
    Lead, 2010, Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010, English
    [Refereed]
    International conference proceedings

  • An Exploration of Features for Recognizing Word Emotion
    Changqin Quan, Fuji Ren
    Lead, 2010, Proceedings of the 23rd International Conference on Computational Linguistics, English
    [Refereed]
    International conference proceedings

  • Changqin Quan, Fuji Ren
    Lead, 2010, International Journal of Advanced Intelligence Paradigms, 2(1) (1), 105 - 117, English
    [Refereed]
    Scientific journal

  • Word Sense Indicators: Effective Feature for Chinese Word Sense Disambiguation
    Changqin Quan, Fuji Ren, Tingting He
    Lead, Sep. 2009, INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 12(5) (5), 1157 - 1164, English
    [Refereed]
    Scientific journal

  • Construction of a Blog Emotion Corpus for Chinese Emotional Expression Analysis
    Changqin Quan, Fuji Ren
    Lead, Aug. 2009, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 1446 - 1454, English
    [Refereed]
    International conference proceedings

  • Recognizing Sentence emotion based on Ren-CECps
    Changqin Quan, Fuji Ren
    Mar. 2009, 電気学会電子·情報·システム部門大会

  • Recognizing Sentence Emotions Based on Polynomial Kernel Method Using Ren-CECps
    Changqin Quan, Fuji Ren
    Lead, 2009, IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, 478 - 484, English
    [Refereed]
    International conference proceedings

  • Analysis on Degree Words for Chinese Emotion Expressions Based on Syntactic Parse and Rules
    Yan Sun, Changqin Quan, Fuji Ren
    2009, IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, 562 - 567, English
    [Refereed]
    International conference proceedings

  • Chinese Emotional Expressions Analysis: Construction of a Blog Emotion Corpus
    Changqin Quan, Fuji Ren
    Apr. 2008, 情報処理学会 第189回自然言語処理研究会・第93回情報学基礎研究会

  • Sentimental Classification Based on Kernel Methods
    Changqin Quan
    Mar. 2008, Journal of Shikoku-Section Joint Convention of the Institutes of Electrical and Related Engineers

  • Sentiment and Sentimental Agent Identification Based on Sentimental Sentence Dictionary
    Dong Liu, Changqin Quan, Fuji Ren, Peng Chen
    Lead, 2008, IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, 169 - +, English
    [Refereed]
    International conference proceedings

  • Automatic Construction of Biomedical Abbreviations Dictionary from Text
    Changqin Quan, Fuji Ren, Tingting He, Po Hu
    Lead, 2008, IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, 49 - +, English
    [Refereed]
    International conference proceedings

  • Word Sense Disambiguation Based on Multi-classifiers Decision
    Changqin Quan, Tingting He, Donghong Ji, Shaowen Yu
    Lead, 2006, Journal of Computer Research and Development, 43(5) (5), 933 - 939, Chinese
    [Refereed]
    Scientific journal

  • Application of boosting to Chinese word sense disambiguation
    CQ Quan, TT He, P Hu, DH Ji
    Lead, 2005, Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05), 9 - 13, English
    [Refereed]
    International conference proceedings

  • Research on Unsupervised Word Sense Disambiguation Based on Sense Categories
    Changqin Quan, Tingting He, Donghong Ji, Liu Hui
    Lead, 2005, Application Research of Computers, 4, 39 - 41, Chinese
    [Refereed]
    Scientific journal

  • Analysis and Comparison about the Approches of Collocation Retrieval Based on Statistic Model
    Changqin Quan, Hui Liu, Tingting He
    Lead, 2005, Application Research of Computers, 9, 55 - 57, Chinese
    [Refereed]
    Scientific journal

  • Chinese WSD Based on Selecting the Best Seeds from Collocations
    Changqin Quan, Tingting He, Donghong Ji, Hui Liu
    Lead, 2005, Journal of Chinese Information Processing, 19(1) (1), 30 - 35, Chinese
    [Refereed]
    Scientific journal

  • Word Sense Disambiguation Based on Word Sense Indicator
    Changqin Quan, Tingting He, Donghong Ji
    Lead, 2005, Computer Engineering, 31(16) (16), 48 - 50, Chinese
    [Refereed]
    Scientific journal

  • An Unsupervised Approach to Chinese Word Sense Disambiguation Based on Hownet
    Hao Chen, Tingting He, Donghong Ji, Changqin Quan
    Last, 2005, Computational Linguistics and Chinese Language Processing, 10(4) (4), 473 - 482, English
    [Refereed]
    Scientific journal

■ MISC
  • 深層学習を用いた地震波の時系列信号による地盤地質推定—Estimation of Ground Information from Seismic Time Series Signals using Deep Learning
    陳 冉, 全 昌勤, 曹 晟, 森 耕平, 羅 志偉
    May 2022, システム制御情報学会研究発表講演会講演論文集, 66, 767 - 769, Japanese

  • ヒューマンエラーを考慮したシステムの信頼性解析—Reliability Analysis Considering Human Error
    前山 一登, 曹 晟, 森 耕平, 全 昌勤, 羅 志偉
    システム制御情報学会, May 2021, システム制御情報学会研究発表講演会講演論文集, 65, 471 - 473, Japanese

  • Structure Analysis for Improving RNN Performance
    藤田 倫弘, 羅 志偉, 全 昌勤, 森 耕平
    システム制御情報学会, 20 May 2020, システム制御情報学会研究発表講演会講演論文集, 64, 352 - 355, Japanese

  • Research on Stock Fluctuation Analysis using Image Processing
    小島一也, LUO Zhiwei, QUAN Changqin, 森耕平, CAO Sheng
    2020, 計測自動制御学会関西支部・システム制御情報学会シンポジウム(CD-ROM), 2019

  • Chinese Emotional Expressions Analysis: Construction of a Blog Emotion Corpus
    Quan Changqin, Ren Fuji
    The Internet is frequently used as a medium for communication or expression of emotions. In this study a blog emotion corpus is constructed for Chinese emotional expression analysis. This corpus contains manual annotation of emotion category, emotion intensity, emotion holder, emotion target, emotional keyword/phrase, and other linguistic expressions that indicate emotion. There are 198 documents, 5, 608 sentences, 135, 606 Chinese words contained in this corpus.
    Information Processing Society of Japan (IPSJ), 15 Jan. 2009, IPSJ SIG Notes, 2009(2) (2), 49 - 55, Japanese

■ Lectures, oral presentations, etc.
  • Mask-based contour inpainting for pose-guided human image generation
    余 昊聡, 全 昌勤, 曹 晟, 森 耕平, 羅 志偉
    第66回システム制御情報学会研究発表講演会(SCI'22), 2022

  • 深層学習を用いた地震波の時系列信号による地盤地質推定
    陳 冉, 全 昌勤, 曹 晟, 森 耕平, 羅 志偉
    第66回システム制御情報学会研究発表講演会(SCI'22), 2022

  • 受動性を考慮したロボットの適応インピーダンス制御
    孫 文可, 曹 晟, 森 耕平, 全 昌勤, 羅 志偉
    2021年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム, 2022

  • キャラクタ性を有する日本語対話生成に関する研究開発
    前田 研吾, 全 昌勤, 羅 志偉, 森 耕平, 曹 晟
    2020年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム, 2021

  • 座位から立位への動作の計測と動力学解析
    塩見 竜希, 曹 晟, 森 耕平, 全 昌勤, 羅 志偉
    第38回センシングフォーラム, 2021

  • OpenPose によるパーキンソン患者の症状識別
    本荘 友毅, 羅 志偉, 森 耕平, 全 昌勤, 曹 晟
    第38回センシングフォーラム, 2021

  • リカレンスプロットを用いた深層学習によるパーキンソン患者の音声識別
    藤田 倫弘, 全 昌勤, 森 耕平, 曹 晟, 羅 志偉
    第65回システム制御情報学会研究発表講演会(SCI'21) （学生発表賞）, 2021

  • ヒューマンエラーを考慮したシステムの信頼性解析
    前山 一登, 曹 晟, 森 耕平, 全 昌勤, 羅 志偉
    第65回システム制御情報学会研究発表講演会(SCI'21), 2021

  • リカレンスプロットにおける%DETに着目した時系列データ解析
    井川 祥太, 森 耕平, 全 昌勤, 曹 晟, 羅 志偉
    第65回システム制御情報学会研究発表講演会(SCI'21), 2021

  • 路上駐車を考慮した交差点の交通シミュレーション
    山本 晃央, 森 耕平, 全 昌勤, 曹 晟, 羅 志偉
    第65回システム制御情報学会研究発表講演会(SCI'21), 2021

  • Hyperbolic Tangent Function based Tension Distribution Design for Cable-Driven Robot
    曹 晟, 羅 志偉, 全 昌勤, 森 耕平
    第64回システム制御情報学会研究発表講演会 (SCI'20), 2020

  • Harnessing Generated Instance-Specific Neutral Expressions in Facial Expression Classification
    BAI WENJUN, 全 昌勤, 羅 志偉
    第64回システム制御情報学会研究発表講演会 (SCI'20), 2020

  • 単語の活用に着目した効率的な自然言語生成
    前田 研吾, 全 昌勤, 羅 志偉
    第64回システム制御情報学会研究発表講演会 (SCI'20), 2020

  • ベクトル場を用いたSLAMの研究
    塩崎 亮, 曹 晟, 全 昌勤, 森 耕平, 羅 志偉
    2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム, 2020

  • 画像認識を用いた株価予測の分析
    小島 一也, 曹 晟, 全 昌勤, 羅 志偉
    2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム, 2020

  • ロボット技術を用いた上肢運動リハビリテーション
    能勢 拓磨, 曹 晟, 全 昌勤, 森 耕平, 羅 志偉
    2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム, 2020

  • 深層学習を用いた非けいれん性てんかん発作の識別
    小池 智哉, 羅 志偉, 永瀬 裕朗, 丸山 あずさ, 森 耕平, 全 昌勤
    2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム 2020年, 2020

  • ニューラルネットワークを用いた Twitter 情報による世論分析
    前田 研吾, 全 昌勤, 羅 志偉, 森 耕平
    2019年度 計測自動制御学会関西支部・システム制御情報学会シンポジウム, 2020

  • Lite Hourglass Network for multi-person pose estimation, MultiMedia Modeling
    Y. Zhao, Z. Luo, C. Quan, D.Liu, and G. Wang
    the 26th International Conference MMM 2020, 2020, English
    Oral presentation

  • Adaptive Control Design of Multi-robot System with Connection Uncertainty
    程 子洋, 曹 晟, 羅 志偉, 森 耕平, 全 昌勤
    第63回システム制御情報学会研究発表講演会 (SCI’19), 2019, English

  • テキスト情報処理におけるRNNの構造と性能解析
    藤田 倫弘, 全 昌勤, 羅 志偉
    第63回システム制御情報学会研究発表講演会 (SCI’19), 2019

  • Learning Optimal Human-Robot Interaction Control Considering Robot's Passivity
    曹 晟, 羅 志偉, 全 昌勤, 森 耕平
    第63回システム制御情報学会研究発表講演会 (SCI’19), 2019, English

  • Learning Flexible Latent Representations via Encapsulated Variational Encoder
    Wenjun Bai, Changqin Quan and Zhiwei Luo
    the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 2019, English
    Poster presentation

  • Adapted Generative Initialisation in Transfer Learning
    Wenjun Bai, Changqin Quan and Zhiwei Luo
    the 17th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2018), 2018, English
    Oral presentation

  • Hard Label Relaxation in Biased Pictorial Sentiment Discrimination
    Wenjun Bai, Changqin Quan and Zhiwei Luo
    the 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'17), 2017, English
    Oral presentation

  • A Multi-granularity Data Augmentation based Fusion Neural Network Model for Short Text Sentiment Analysis
    Xiao Sun , Jiajin He, Changqin Quan
    the 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2017, English
    Oral presentation

  • Improved Facial Expression Recognition Method Based on ROI Deep Convolutional Neutral Network
    Xiao Sun , Man Lv, Changqin Quan, Fuji Ren
    the 17th International Conference on Affective Computing and Intelligent Interaction (ACII2017), 2017, English
    Oral presentation

  • Unsupervised online learning for fine-grained hand segmentation in egocentric video
    Ying Zhao, Zhiwei Luo and Changqin Quan
    the 14th Conference on Computer and Robot Vision (CRV 2017), 2017, English
    Oral presentation

  • Facial Expression Recognition Based on Hybrid Deep-learning and Shallow Features
    Xiao Sun, Man LV, Chanqin Quan, Fang Tian, and Fuji Ren
    The 11th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'16), 2016, English
    Oral presentation

  • An exploration of integrating rich representation of neural network for question type classification
    Chanqin Quan, Lei Hua, Xiao Sun and Fuji Ren
    The 11th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'16), 2016, English
    Oral presentation

  • A Novel Approach for Assessing Prospective Memory using Immersive Virtual Reality Task
    Dong Dong, Lawrence KF Wong, Zhiwei Luo and Changqin Quan
    The 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO2016), 2016, English
    Oral presentation

  • Non-contact, Real-time Monitoring of Heart Rate with a Webcam with Application during Water-Bed Massage
    Akihito Seki, Zhiwei Luo and Changqin Quan
    The 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO2016), 2016, English
    Oral presentation

  • Passive Velocity Field Control of a Redundant Cable-Driven Robot with Tension Limitations
    Cao S., Zhiwei Luo and Changqin Quan
    The 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO2016), 2016, English
    Oral presentation

  • Study on CNN in the recognition of emotion in audio and images
    Bin Zhang, Changqin Quan and Fuji Ren
    15th IEEE/ACIS International Conference on Computer and Information Science, 2016, English
    Oral presentation

  • Estimation of an Object's Physical Parameter by Force Sensors of a Dual-Arm Robot
    Cao S., Luo ZW, Quan CQ
    2015 IEEE Int. Conference on Robotics and Biomimetics, 2015, English
    Oral presentation

  • Improvements in Convolutional Neural Network for Recognizing Emotion in Speech
    Bing Zhang, Changqin Quan, Fuji Ren
    The 10th International Conference on Natural Language Processing and Knowledge Engineering, 2015, English
    Oral presentation

  • Graph based Semi-supervised method for sentiment classification
    Xiquan Wei, Changqin Quan, Fuji Ren
    The 10th International Conference on Natural Language Processing and Knowledge Engineering, 2015, English
    Oral presentation

  • A hybrid kernel based method for relation extraction and gene-disease interaction network construction
    Lei Hua, Changqin Quan, Fuji Ren
    The 10th International Conference on Natural Language Processing and Knowledge Engineering, 2015, English
    Oral presentation

  • Facial Expression Recognition based on Gabor Wavelet Transform and Histogram of Oriented Gradients
    Xiaoming Xu, Changqin Quan, Fuji Ren
    The 2015 IEEE International Conference on Mechatronics and Automation (ICMA 2015), 2015, English
    Oral presentation

  • Gene-disease Relation Extraction and Gene Interaction Network Construction
    Lei Hua, Changqin Quan, Fuji Ren
    The 7th International Conference on Bioinformatics and Computational Biology (BICoB), 2015, English
    Oral presentation

  • Facial Expression Recognition based on Gabor Wavelet Transform and Histogram of Oriented Gradients
    Xiaoming Xu, Changqin Quan, Fuji Ren
    The 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO2014), 2014, English
    Oral presentation

  • Dynamic Facial Expression Recognition based on K-order Emotional Intensity Model
    Changqin Quan, Yao Qian, Fuji Ren
    The 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO2014), 2014, English
    Oral presentation

  • Joined cepstral distance features two-stage multi-class classification for emotional speech
    Changqin Quan, Bing Zhang, Fuji Ren
    3rd International Conference on Cloud Computing and Intelligence Systems (CCIS 2014), 2014, English
    Oral presentation

  • Comparison of SVM Classification Method and Semantic Similarity Method for Sentiment Classification
    Changqin Quan, Xiquan Wei, Fuji Ren
    3rd International Conference on Cloud Computing and Intelligence Systems (CCIS 2014), 2014, English
    Oral presentation

  • Word frequency statistics model for Chinese base noun phrase identification
    Lu Kong, Fuji Ren, Xiao Sun, Changqin Quan
    The Tenth International Conference on Intelligent Computing (ICIC 2014), 2014, English
    Oral presentation

  • Construction of a Chinese Emotion Lexicon from Ren-CECps
    Lijuan Wang, Changqin Quan, Yanwei Bao, Fuji Ren
    The Tenth International Conference on Intelligent Computing (ICIC 2014), 2014, English
    Oral presentation

  • The Role of Pre-processing in Twitter Sentiment Analysis
    Yanwei Bao, Changqin Quan, Lijuan Wang, Fuji Ren
    The Tenth International Conference on Intelligent Computing (ICIC 2014), 2014, English
    Oral presentation

  • Gene–disease association extraction by text mining and network analysis
    Changqin Quan, Fuji Ren
    EACL 2014 Workshop - The Fifth International Workshop on Health Text Mining and Information Analysis, 2014, English
    Oral presentation

  • Combine Sentiment Lexicon and Dependency Parsing for Sentiment Classification
    Changqin Quan, Xiquan Wei, Fuji Ren
    2013 IEEE/SICE International Symposium on System Integration, 2013, English
    Oral presentation

  • Microblogging Hot Events Emotion Analysis Based on Ren-CECps
    Ning Liu, Fuji Ren, Xiao Sun, Changqin Quan
    2013 IEEE/SICE International Symposium on System Integration, 2013, English
    Oral presentation

  • A New Preprocessing Algorithm and Local Binary Pattern Based Facial Expression Recognition
    Yao Qian, Fuji Ren, Changqin Quan
    2013 IEEE/SICE International Symposium on System Integration, 2013, English
    Oral presentation

  • Using Salient Semantic Analysis to Improve Information Retrieval
    Jing Luo, Bo Meng, Changqin Quan, Xinhui Tu
    The 8th International Conference on Natural Language Processing and Knowledge Engineering, English
    Oral presentation

  • Feature Based Review Classification for Fine-grained Sentiment Analysis
    Changqin Quan, Xiao Sun, Fuji Ren
    The 8th International Conference on Natural Language Processing and Knowledge Engineering, 2012, English
    Oral presentation

  • Semantic Orientation Extraction of Chinese Phrases by Discriminative Model and Global Features
    Xiao Sun, Changqin Quan, Fuji Ren
    The 8th International Conference on Natural Language Processing and Knowledge Engineering, 2012, English
    Oral presentation

  • POMDP Based Affective Model and It’s Application on An Intelligent Music Player
    Yu Wang, Lian Li,Fuji Ren, Changqin Quan
    The 8th International Conference on Natural Language Processing and Knowledge Engineering, 2012, English
    Oral presentation

  • A Japanese Adverb‐Emotion Corpus for Japanese Emotion Analysis
    Yan Sun, Fuji Ren, Xin Kang, Changqin Quan
    The 8th International Conference on Natural Language Processing and Knowledge Engineering, 2012, English
    Oral presentation

  • Selecting clause emotion for sentence emotion recognition
    Changqin Quan, Fuji Ren
    The 7th IEEE International Conference on Natural Language Processing and Knowledge Engineering, 2011, English
    Oral presentation

  • An Exploration of Features for Recognizing Word Emotion
    Changqin Quan, Fuji Ren
    The 23rd International Conference on Computational Linguistics, 2010, English
    Oral presentation

  • Emotion Analysis in Blogs at Sentence Level Using a Chinese Emotion Corpus
    Changqin Quan, Tingting He, Fuji Ren
    The 6th IEEE International Conference on Natural Language Processing and Knowledge Engineering, 2010, English
    Oral presentation

  • Automatic Annotation of Word Emotion in Sentences Based on Ren-CECps
    Changqin Quan, Fuji Ren
    The Seventh conference on International Language Resources and Evaluation, 2010, English
    Oral presentation

  • Maximum Entropy Based Emotion Classification of Chinese Blog Sentences
    Cheng Wang, Changqin Quan, Fuji Ren
    The 6th IEEE International Conference on Natural Language Processing and Knowledge Engineering, 2010, English
    Oral presentation

  • Recognizing Sentence emotion based on Ren-CECps
    Changqin Quan, Fuji Ren
    電気学会電子·情報·システム部門大会, 2009, English
    Oral presentation

  • Construction of a Blog Emotion Corpus for Chinese Emotional Expression Analysis
    Changqin Quan, Fuji Ren
    The 2009 Conference on Empirical Methods in Natural Language Processing, 2009, English
    Oral presentation

  • Recognizing Sentence Emotions Based on Polynomial Kernel Method Using Ren-CECps
    Changqin Quan, Fuji Ren
    The 5th IEEE International Conference on Natural Language Processing and Knowledge Engineering, 2009, English
    Oral presentation

  • Analysis on Degree Words for Chinese Emotion Expressions Based on Syntactic Parse and Rules
    Sun Yan, Changqin Quan, Fuji Ren
    The 5th IEEE International Conference on Natural Language Processing and Knowledge Engineering, 2009, English
    Oral presentation

  • Chinese Emotional Expressions Analysis: Construction of a Blog Emotion Corpus
    Changqin Quan, Fuji Ren
    情報処理学会 第189回自然言語処理研究会・第93回情報学基礎研究会, 2008, English
    Oral presentation

  • Sentimental Classification Based on Kernel Methods
    Changqin Quan, Fuji Ren
    Shikoku-Section Joint Convention of the Institutes of Electrical and Related Engineers, 2008, English
    Oral presentation

  • Automatic Construction of Biomedical Abbreviations Dictionary from Text
    Changqin Quan, Fuji Ren, Tingting He, Po Hu
    The 4th IEEE International Conference on Natural Language Processing and Knowledge Engineering, 2008

  • Sentiment and Sentimental Agent Identification Based on Sentimental Sentence Dictionary
    Dong Liu, Changqin Quan, Fuji Ren, Peng Chen
    The 4th IEEE International Conference on Natural Language Processing and Knowledge Engineering, 2008, English
    Oral presentation

  • Reduce the Dimensions of Emotional Features by Principal Component Analysis for Speech Emotion Recognition
    Changqin Quan, Dongyu Wan, Bing Zhang Fuji Ren
    2013 IEEE/SICE International Symposium on System Integration, 1900, English
    Oral presentation

  • Application of Boosting to Chinese Word Sense Disambiguation
    Changqin Quan, Fuji Ren
    2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, English
    Oral presentation

■ Affiliated Academic Society
  • 国際人工知能学会AAAI委員
    Jan. 2018 - Dec. 2021

■ Research Themes
  • パーキンソン病検出のためのカスタマイズされた連合学習手法に関する研究
    全 昌勤
    日本学術振興会, 科学研究費助成事業, 基盤研究(C), 神戸大学, Apr. 2025 - Mar. 2028, Principal investigator

  • 計算知能学及び健康情報システムへの応用
    「ダイバーシティ研究環境実現イニシアティブ（先端型）」事業, 国際共同研究PI養成プログラム, 神戸大学, Mar. 2019 - Feb. 2020, Principal investigator

  • ユーザ満足度を評価するための感情情報処理
    全昌勤
    公益財団法人大川情報通信基金研究助成, Mar. 2017 - Mar. 2018, Principal investigator

  • 感情コーパスの構築に関する研究
    全昌勤
    富士通株式会社研究助成, Principal investigator

■ Industrial Property Rights
  • 動特性表情配列および感情的な強度Kに基づき特徴を表現するモデル
    特願CN201410412734.0, Aug. 2014
    Patent right

  • 感情コーパスの構築方法
    特願CN201310689825.4
    Patent right

  • 感情コンピューティング手法による感情辞書の構築方法
    特願CN201410254058.9
    Patent right

■ Social Contribution Activities
  • 神戸医療産業都市構想一般公開 「神戸大学一日出張研究室」
    神戸市
    Organizing member, 2015 - 2018

■ Academic Contribution Activities
  • 国際論文誌Neurocomputing
    国際論文誌Neurocomputing
    査読委員
    01 Jan. 2020 - Present
    Peer review etc

  • 国際論文誌IEEE Access
    国際論文誌IEEE Access
    査読委員
    01 Jan. 2020 - Present
    Peer review etc

  • 国際論文誌Applied Sciences
    国際論文誌Applied Sciences
    査読委員
    01 Jan. 2018 - Present
    Peer review etc

  • 国際論文誌PLOS Computational Biology
    国際論文誌PLOS Computational Biology
    査読委員
    01 Jan. 2018 - Present
    Peer review etc

  • 国際論文誌IEEE Transactions on Affective Computing
    国際論文誌IEEE Transactions on Affective Computing
    査読委員
    01 Jan. 2018 - Present

  • 国際論文誌Information Sciences
    国際論文誌Information Sciences
    査読委員
    01 Jan. 2015 - Present
    Peer review etc

  • 第65回システム制御情報学会研究発表講演会 (SCI'21) 組織委員会
    第65回システム制御情報学会研究発表講演会 (SCI'21) 組織委員会
    2021

  • 第64回システム制御情報学会研究発表講演会 (SCI'20) 実行委員会
    第64回システム制御情報学会研究発表講演会 (SCI'20) 実行委員会
    システム制御情報学会
    2020

  • 国際会議IEEE NLP-KE’18
    国際会議IEEE NLP-KE’18
    実行委員
    16 Aug. 2018 - 19 Aug. 2018
    Competition etc

  • 国際会議IEEE NLP-KE’17
    国際会議IEEE NLP-KE’17
    実行委員
    12 Mar. 2017 - 16 Mar. 2017
    Competition etc

  • 国際会議IEEE NLP-KE’16
    国際会議IEEE NLP-KE’16
    実行委員
    05 Nov. 2016 - 10 Nov. 2016
    Academic society etc

  • 国際会議IEEE NLP-KE’15
    国際会議IEEE NLP-KE’15
    実行委員
    01 Oct. 2015 - 07 Oct. 2015
    Academic society etc

  • 国際論文誌American Journal of Biomedical Science & Research
    国際論文誌American Journal of Biomedical Science & Research
    査読委員
    Peer review etc

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