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徳島大学 ⟩ 大学院社会産業理工学研究部 ⟩ 理工学域 ⟩ 知能情報系 ⟩ 情報工学分野 ⟩
徳島大学 ⟩ 理工学部 ⟩ 理工学科 ⟩ 知能情報コース ⟩ 情報工学講座 ⟩
徳島大学 ⟩ 先端技術科学教育部 ⟩ システム創生工学専攻 ⟩ 知能情報システム工学コース ⟩ 基礎情報工学講座 ⟩ 		(researchmapへのインポート用ファイル) [PDF解説] [researchmapへの自動反映について]

研究活動

個人のホームページ

専門分野

○ 情報学 (Informatics)
○ 感性情報処理 (Affective Computing)
○ 医用生体工学 (Biomedical Engineering)
○ 情報学 (Informatics)
○ 自然言語処理 (Natural Language Processing)

研究テーマ

○ AI透明性 (人工知能 (artificial intelligence), 深層学習 (deep learning), 因果関係学習, 認知二重過程模倣型神経記号AI)
○ マルチモーダル感性計算 (人工知能 (artificial intelligence), 深層学習 (deep learning), マルチモーダル機械学習, 感情認識)
○ 精神保健のAI支援 (認知二重過程模倣型神経記号AI, 因果関係学習, マルチモーダル機械学習, うつ病診断補助AI)
○ 金融決策のAI支援 (人工知能 (artificial intelligence), 深層学習 (deep learning), 因果関係学習, 大規模言語モデル, 金融工学 (financial engineering))
○ 大規模言語モデルに基づく汎用人工知能 (人工知能 (artificial intelligence), 深層学習 (deep learning), 認知心理学 (cognitive psychology), 最適化 (optimization))

著書・論文

著書:

1. 谷岡 広樹, 康 鑫 :
いちばんやさしい ディープラーニング 入門教室,
株式会社ソーテック, 東京, 2018年2月.
2. Fuji Ren, Shun Nishide, Kazuyuki Matsumoto, XIN KANG, Duo Feng and Mengjia He :
Artificial Intelligence with Uncertainty,
NTS, Jun. 2017.

学術論文(審査論文):

1. Kiuchi Keita, XIN KANG, Ryota Nishimura, Sasayama Manabu and Kazuyuki Matsumoto :
Predicting Physical and Mental Health Status One Month Later through Interview-Based Stress Assessment,
Industrial Health, Vol.62, No.4, 237-251,
(DOI: 10.2486/indhealth.2023-0144)
2. Keita Kiuchi, Hidehiro Umehara, Koushi Irizawa, XIN KANG, Masahito Nakataki, Minoru Yoshida, Shusuke Numata and Kazuyuki Matsumoto :
An Exploratory Study of the Potential of Online Counseling for University Students by a Human-Operated Avatar Counselor,
Healthcare, Vol.12, No.1287, 2024.
(DOI: 10.3390/healthcare12131287,   PubMed: 38998822,   Elsevier: Scopus)
3. 康 鑫 :
Neuro-Symbolic AIと生成AIによるdimABSAタスクの透明性探求講演,
信学技報, Vol.124, No.90, 74-79, 2024年.
4. Linhuang Wang, XIN KANG, Fei Ding, Satoshi Nakagawa and Fuji Ren :
A Joint Local Spatial and Global Temporal CNN-Transformer for Dynamic Facial Expression Recognition,
Applied Soft Computing, Vol.161, 1-13, 2024.
(徳島大学機関リポジトリ: 119348,   DOI: 10.1016/j.asoc.2024.111680)
5. Fei Ding, XIN KANG, Linhuang Wang, Yunong Wu, Satoshi Nakagawa and Fuji Ren :
Causal Inference and Prefix Prompt Engineering Based on Text Generation Models for Financial Argument Analysis,
Electronics, Vol.13, No.9, 1-16, 2024.
(DOI: 10.3390/electronics13091746)
6. Keita Kiuchi, XIN KANG, Ryota Nishimura, Manabu Sasayama and Kazuyuki Matsumoto :
Causal Effects of High Stress Assessed via Interviews on Mental and Physical Health: Toward Computer Agent-Driven Stress Assessment,
Journal of Occupational and Environmental Medicine, 2024.
(DOI: 10.1097/JOM.0000000000003117,   PubMed: 38603579)
7. Fei Ding, XIN KANG and Fuji Ren :
Neuro or Symbolic? Fine-tuned Transformer with Unsupervised LDA Topic Clustering for Text Sentiment Analysis,
IEEE Transactions on Affective Computing, Vol.15, No.2, 493-507, 2024.
(徳島大学機関リポジトリ: 118516,   DOI: 10.1109/TAFFC.2023.3279318)
8. Fuji Ren, Yangyang Zhou, Jiawen Deng, Kazuyuki Matsumoto, Duo Feng, Tianhao She, Ziyun Jiao, Zheng Liu, Taihao Li, Satoshi Nakagawa and XIN KANG :
Tracking Emotions using an Evolutionary Model of Mental State Transitions: Introducing a New Paradigm,
Intelligent Computing, 1-24, 2024.
(DOI: 10.34133/icomputing.0075)
9. Rongyu Dou and XIN KANG :
TAM-SenticNet: A Neuro-Symbolic AI approach for early depression detection via social media analysis,
Computers & Electrical Engineering, Vol.114, 1-10, 2024.
(徳島大学機関リポジトリ: 118923,   DOI: 10.1016/j.compeleceng.2023.109071,   Elsevier: Scopus)
10. Yuxiang Zhou, XIN KANG, Fuji Ren, Huimin Lu, Satoshi Nakagawa and Xiao Shan :
A Multi-attention and Depthwise Separable Convolution Network for Medical Image Segmentation,
Neurocomputing, Vol.15, No.1, 121-129, 2024.
(徳島大学機関リポジトリ: 118693,   DOI: 10.1016/j.neucom.2023.126970)
11. LIU ZHENG, XIN KANG and Fuji Ren :
Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition,
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.31, 2193-2203, 2023.
(徳島大学機関リポジトリ: 118515,   DOI: 10.1109/TASLP.2023.3282092)
12. Yangyang Zhou, XIN KANG and Fuji Ren :
Prompt Consistency for Multi-label Textual Emotion Detection,
IEEE Transactions on Affective Computing, 1-10, 2023.
(徳島大学機関リポジトリ: 118259,   DOI: 10.1109/TAFFC.2023.3254883,   Elsevier: Scopus)
13. XIN KANG, Shi Xuefeng, Yunong Wu and Fuji Ren :
Active learning with complementary sampling for instructing class-biased multi-label text emotion classification,
IEEE Transactions on Affective Computing, Vol.14, No.1, 523-536, 2023.
(徳島大学機関リポジトリ: 118256,   DOI: 10.1109/TAFFC.2020.3038401)
14. Fuji Ren, Zheng Liu and XIN KANG :
An efficient framework for constructing speech emotion corpus based on integrated active learning strategies,
IEEE Transactions on Affective Computing, Vol.13, No.4, 1929-1940, 2022.
(徳島大学機関リポジトリ: 118257,   DOI: 10.1109/TAFFC.2022.3192899)
15. Li Zhiyang, Li Bin, Ni Hongjun, Fuji Ren, Lv Shuaishuai and XIN KANG :
An Effective Surface Defect Classification Method Based on RepVGG with CBAM Attention Mechanism (RepVGG-CBAM) for Aluminum Profiles,
Metals, Vol.12, No.11, 1-16, 2022.
(徳島大学機関リポジトリ: 118180,   DOI: 10.3390/met12111809,   Elsevier: Scopus)
16. Hirokazu Ito, Kazuyuki Matsumoto, XIN KANG, Tetsuya Tanioka, Yuko Yasuhara, Rozzano De Castro Locsin and Fuji Ren :
The AI Development Through Transforming Tacit Knowledge to Explicit Knowledge of Nurses' Dialogue for Patients with Dementia,
International Journal of Advanced Intelligence (IJAI), Vol.12, No.1, 11-21, 2021.
(CiNii: 1010576118604664832)
17. wenjie Liu, Wu Guoqing, Fuji Ren and XIN KANG :
DFF-ResNet: An Insect Pest Recognition Model based on Residual Networks,
Big Data Mining and Analytics, Vol.3, No.4, 300-310, 2020.
(徳島大学機関リポジトリ: 115879,   DOI: 10.26599/BDMA.2020.9020021)
18. Jiaqiao Zhang, XIN KANG, Hongjun Ni and Fuji Ren :
Surface defect detection of steel strips based on classification priority YOLOv3-dense network,
Ironmaking and Steelmaking, Vol.8, 1-12, 2020.
(徳島大学機関リポジトリ: 115375,   DOI: 10.1080/03019233.2020.1816806,   Elsevier: Scopus)
19. Zheng Liu, XIN KANG, Shun Nishide and Fuji Ren :
Vowel priority lip matching scheme and similarity evaluation model based on humanoid robot Ren-Xin,
Journal of Ambient Intelligence and Humanized Computing, 2020.
(徳島大学機関リポジトリ: 118255,   DOI: 10.1007/s12652-020-02175-9,   Elsevier: Scopus)
20. XIN KANG, Yunong Wu and Fuji Ren :
Toward action comprehension for searching: Mining actionable intents in query entities,
Journal of the Association for Information Science and Technology, 2019.
(徳島大学機関リポジトリ: 118254,   DOI: 10.1002/asi.24220,   Elsevier: Scopus)
21. XIN KANG, Fuji Ren and Yunong Wu :
Exploring latent semantic information for textual emotion recognition in Blog articles,
IEEE/CAA Journal of Automatica Sinica, Vol.5, No.1, 204-216, 2018.
(徳島大学機関リポジトリ: 115378,   DOI: 10.1109/JAS.2017.7510421)
22. Yunong Wu, Kenji Kita, Kazuyuki Matsumoto, XIN KANG and Fuji Ren :
Constructing A Short Text Conversation system Based on the Relations Between Posts and Comments,
International Journal of Advanced Intelligence (IJAI), Vol.9, No.3, 369-380, 2017.
23. Shun Nishide, Hidenobu Shibasaki, XIN KANG and Fuji Ren :
Generation of Humanlike Facial Expression for Natural Human-Robot Interaction System,
International Journal of Advanced Intelligence (IJAI), Vol.9, No.1, 77-65, 2017.
24. XIN KANG, Yunong Wu and Fuji Ren :
Disambiguating Users' Temporal Intent in Search Queries with Deep Neural Networks,
International Journal of Advanced Intelligence (IJAI), Vol.9, No.1, 11-28, 2017.
25. Chao Li, Fuji Ren and XIN KANG :
Selectional Preferences Based on Distributional Semantic Model,
WSEAS Transactions on Computers, Vol.15, 258-264, 2016.
(徳島大学機関リポジトリ: 118263)
26. Sun Yan, Fuji Ren, XIN KANG and Changqin Quan :
Developing a Japanese Adverb-Emotion Corpus to Investigate the Effect of Adverbs in Japanese Sentence Emotion Classification,
International Journal of Advanced Intelligence (IJAI), Vol.8, No.1, 99-116, 2016.
27. XIN KANG, Fuji Ren and Yunong Wu :
Semi-Supervised Learning of Author-Specific Emotions in Micro-Blogs,
IEEJ Transactions on Electrical and Electronic Engineering (TEEE), Vol.11, No.6, 768-775, 2016.
(DOI: 10.1002/tee.22302)
28. Yan Sun, Changqin Quan, XIN KANG, Zuopeng Zhang and Fuji Ren :
Customer emotion detection by emotion expression analysis on adverbs,
Information Technology and Management, Vol.16, No.4, 303-311, 2015.
(DOI: 10.1007/s10799-014-0204-2)
29. Fuji Ren, XIN KANG and Changqin Quan :
Examining Accumulated Emotional Traits in Suicide Blogs with an Emotion Topic Model,
IEEE Journal of Biomedical and Health Informatics, Vol.20, No.5, 1384-1396, 2015.
(徳島大学機関リポジトリ: 118262,   DOI: 10.1109/JBHI.2015.2459683,   PubMed: 26208372)
30. Fuji Ren and XIN KANG :
Employing Hierarchical Bayesian Networks in Simple and Complex Emotion Topic Analysis,
Computer Speech & Language, Vol.27, No.4, 943-968, 2013.
(DOI: 10.1016/j.csl.2012.07.012,   Elsevier: Scopus)
31. XIN KANG and Fuji Ren :
Predicting Complex Word Emotions and Topics through a Hierarchical Bayesian Network,
China Communications, Vol.9, No.3, 99-109, 2012.
(徳島大学機関リポジトリ: 118261,   Elsevier: Scopus)
32. Yunong Wu, Kenji Kita, Fuji Ren, Kazuyuki Matsumoto and XIN KANG :
Exploring the Importance of Modification Relation for Emotional Keywords Annotation and Emotion Types Recognition,
International Journal of Intelligent Engineering and Systems, Vol.4, No.4, 19-26, 2011.
(DOI: 10.22266/ijies2011.1231.03,   Elsevier: Scopus)

国際会議:

1. Mori Daiki, Kazuyuki Matsumoto, XIN KANG, Manabu Sasayama and Keita Kiuchi :
SMACS: Stress Management AI Chat System,
Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2024), Vol.2, 167-174, Porto, Nov. 2024.
2. XIN KANG, Zhang Zhifei, Jiazheng Zhou, Yunong Wu, Shi Xuefeng and Kazuyuki Matsumoto :
TMAK-Plus at SIGHAN-2024 dimABSA Task: Multi-Agent Collaboration for Transparent and Rational Sentiment Analysis,
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), 1-8, Bangkok, Aug. 2024.
3. Wang Linhuang, XIN KANG, Ding Fei, Haitao Yu, Yunong Wu, Kazuyuki Matsumoto, Nakagawa Satoshi and Fuji Ren :
Self Decoupling-Reconstruction Network for Facial Expression Recognition,
International Joint Conference on Neural Networks (IJCNN 2024), 1-8, Yokohama, Jul. 2024.
4. Linhuang Wang, XIN KANG, Satoshi Nakagawa and Fuji Ren :
Msstnet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition,
The 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2024), 1-5, Apr. 2024.
(DOI: 10.1109/ICASSP48485.2024.10446699,   Elsevier: Scopus)
5. Yamane Daichi and XIN KANG :
TUA1 at NTCIR-17 FinArg-1 Task,
Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies, 1-5, Tokyo, Dec. 2023.
6. Yuxiang Zhou, XIN KANG, Fuji Ren, Satoshi Nakagawa and Xiao Shan :
DEU-Net: Dual Encoder U-Net for 3D Medical Image Segmentation,
The 22nd International Conference on Computer and Information Technology, 1-7, Nov. 2023.
(DOI: 10.1109/TrustCom60117.2023.00382,   Elsevier: Scopus)
7. Fujita Ryo and XIN KANG :
Research on Creating Buzzing Tweets Through Large Language Models,
The 8th International Symposium on Artificial Intelligence and Robotics (ISAIR 2023), 1-8, Oct. 2023.
8. Tomomatsu Toyohiko and XIN KANG :
Facial Expression Recognition Using Self-Supervised Learning,
The 8th International Symposium on Artificial Intelligence and Robotics (ISAIR 2023), 1-16, Oct. 2023.
9. Linhuang Wang, XIN KANG, Satoshi Nakagawa and Fuji Ren :
CenterMatch: A Center Matching Method for Semi-supervised Facial Expression Recognition,
The 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2023), 1-12, Oct. 2023.
(DOI: 10.1007/978-981-99-8537-1_30,   Elsevier: Scopus)
10. Ochi Arata and XIN KANG :
Learning a Parallel Network for Emotion Recognition Based on Small Training Data,
The 8th International Conference on Systems and Informatics (ICSAI 2022), 1-5, Jan. 2023.
(DOI: 10.1109/ICSAI57119.2022.10005394,   Elsevier: Scopus)
11. Shingo Hanahira and XIN KANG :
Resolving Context Contradictions in the Neural Dialogue System based on Sentiment Information,
The 7th International Conference on Machine Learning and Soft Computing (ICMLSC2023), 1-8, Jan. 2023.
(DOI: 10.1145/3583788.3583816,   Elsevier: Scopus)
12. Hagio Shohei and XIN KANG :
A Study of Response Sentence Generation Considering Topic in Neural Dialogue Model,
The 1st International Conference on Communication, Security and Artificial Intelligence (ICCSAI-2022), 1-6, Dec. 2022.
13. Li Xiudong, XIN KANG and Fuji Ren :
Use Active Learning to Construct Japanese Emoji Emotion Database,
Communications in Computer and Information Science, Vol.1701, 332-340, Dec. 2022.
(DOI: 10.1007/978-981-19-7943-9_29,   Elsevier: Scopus)
14. He Jiaxin, XIN KANG and Fuji Ren :
Gait Recognition for Laboratory Safety Management Based on Human Body Pose Model,
Communications in Computer and Information Science, Vol.1701, 323-331, Dec. 2022.
(DOI: 10.1007/978-981-19-7943-9_28,   Elsevier: Scopus)
15. Haoyu Wang, XIN KANG and Fuji Ren :
Emotion-Sentence-DistilBERT: A Sentence-BERT-Based Distillation Model for Text Emotion Classification,
Communications in Computer and Information Science, Vol.1701, 313-322, Dec. 2022.
(DOI: 10.1007/978-981-19-7943-9_27,   Elsevier: Scopus)
16. Junya Furutani, XIN KANG, Keita Kiuchi, Ryota Nishimura, Manabu Sasayama and Kazuyuki Matsumoto :
Learning a Bimodal Emotion Recognition System Based on Small Amount of Speech Data,
2022 8th International Conference on Systems and Informatics (ICSAI), 160-164, Kunming, China, Dec. 2022.
(DOI: 10.1109/ICSAI57119.2022.10005454,   Elsevier: Scopus)
17. Tomoki Kusunose, XIN KANG, Keita Kiuchi, Ryota Nishimura, Manabu Sasayama and Kazuyuki Matsumoto :
Facial Expression Emotion Recognition Based on Transfer Learning and Generative Model,
2022 8th International Conference on Systems and Informatics (ICSAI), 107-112, Kunming, China, Dec. 2022.
(DOI: 10.1109/ICSAI57119.2022.10005478,   Elsevier: Scopus)
18. Zhou yuxiang, XIN KANG and Fuji Ren :
MDSU-Net: A Multi-attention and Depthwise Separable Convolution Network for Stroke Lesion Segmentation,
2022 9th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2022), 1-14, Nov. 2022.
(DOI: 10.1145/3574198.3574200,   Elsevier: Scopus)
19. Fuji Ren, Jiao Ziyun and XIN KANG :
Improved Transformer-based Implicit Latent GAN with Multi-headed Self-attention for Unconditional Text Generation,
The Fifth International Conference on Intelligence Science (ICIS2022), Vol.659, 166-173, Oct. 2022.
(DOI: 10.1007/978-3-031-14903-0_18,   Elsevier: Scopus)
20. XIN KANG, Rongyu Dou and Haitao Yu :
TUA1 at eRisk 2022: Exploring Affective Memories for Early Detection of Depression,
Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Thirteenth International Conference of the CLEF Association (CLEF 2022), Vol.13390, 1-12, Sep. 2022.
(Elsevier: Scopus)
21. Li Bin, Fuji Ren, Ni Hongjun, XIN KANG, Lv Shuaishuai and Hao Zhuangzhuang :
Classification Method of Surface Defects of Aluminum Profile Based on Transfer Learning,
International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2022), 1-5, Aug. 2022.
(DOI: 10.1109/MLISE57402.2022.00008,   Elsevier: Scopus)
22. Ding Fei, XIN KANG, Yunong Wu and Fuji Ren :
TUA1 at the NTCIR-16 DialEval-2 Task,
Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, 1-5, Jun. 2022.
23. Zhou Yangyang, XIN KANG and Fuji Ren :
Employing Contrastive Strategies for Multi-label Textual Emotion Recognition,
12th International Conference on Intelligent Information Processing (IIP2022), 13-24, May 2022.
(DOI: 10.1007/978-3-031-03948-5_24,   Elsevier: Scopus)
24. Liu Zheng, XIN KANG and Fuji Ren :
Improving speech emotion recognition by fusing pre-trained and acoustic features using Transformer and BiLSTM,
12th International Conference on Intelligent Information Processing (IIP2022), 1-12, May 2022.
(DOI: 10.1007/978-3-031-03948-5_28,   Elsevier: Scopus)
25. Yuma Komoto, XIN KANG and Fuji Ren :
Creating a Japanese dialogue corpus with multi-level topic analysis,
2022 4th International Conference on Natural Language Processing, Mar. 2022.
(DOI: 10.1109/ICNLP55136.2022.00065,   Elsevier: Scopus)
26. Tatsuya Ikegami, XIN KANG and Fuji Ren :
Improvement of Japanese Text Emotion Analysis by Active Learning Using Transformers Language Model,
Proceeding of 2022 IEEE 14th International Conference on Computer Research and Development(ICCRD), 171-177, Jan. 2022.
(DOI: 10.1109/ICCRD54409.2022.9730387,   Elsevier: Scopus)
27. Zhuangzhuang Hao, Fuji Ren, XIN KANG, Ni Hongjun, Lv Shuaishuai and Wang Hui :
Classification of Steel Strip Surface Defects Based on Optimized ResNet18,
2021 IEEE International Conference on Agents (ICA), 61-62, Dec. 2021.
(DOI: 10.1109/ICA54137.2021.00018,   Elsevier: Scopus)
28. KAIXUAN WANG, Fuji Ren, XIN KANG, Shuaishuai Lv, Hongjun Ni and Yuan Haifeng :
Thermal Defect Detection and Location for Power Equipment based on Improved VGG16,
Proceedings of the 5th IEEE International Conference on Agent, Dec. 2021.
(DOI: 10.1109/ICA54137.2021.00014,   Elsevier: Scopus)
29. Kubono Yusuke, Shun Nishide, XIN KANG and Fuji Ren :
Prediction and Generation of Multiple Complex Drawing Figures From Partial Drawing Sequences,
13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, 1-5, Nov. 2021.
(DOI: 10.1109/HNICEM54116.2021.9732036,   Elsevier: Scopus)
30. XIN KANG, Yunong Wu and Fuji Ren :
TUA1 at the NTCIR-15 DialEval-1 Task,
Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, 53-56, Tokyo, Dec. 2020.
31. Shi Xuefeng, XIN KANG, Liao Ping and Fuji Ren :
Building Label-Balanced Emotion Corpus Based On Active Learning for Text Emotion Classification,
In Proceedings of 2019 4th International Symposium on Artificial Intelligence and Robotics (ISAIR2019), 13-24, Nov. 2020.
(Elsevier: Scopus)
32. Shota Inui, Fuji Ren, Shun Nishide and XIN KANG :
Gait recognition in real environment using gait energy image generated by Mask R-CNN,
2020 IEEE International Conference on Mechatronics and Automation (ICMA), Beijing, China, Oct. 2020.
(DOI: 10.1109/ICMA49215.2020.9233582)
33. Kyoya Abe, Fuji Ren, Shun Nishide and XIN KANG :
Construction of emergency medical support system based on understanding dialect intention,
The 15th International Conference on Natural Language Processing and Knowledge Engineering, Xian, China and Web, Oct. 2020.
34. Fei Ding, XIN KANG, Shun Nishide, Guan Zhijin and Fuji Ren :
A fusion model for multi-label emotion classification based on BERT and topic clustering,
In International Symposium on Artificial Intelligence and Robotics 2020, Vol.11574, 98-111, Oct. 2020.
(DOI: 10.1117/12.2579255)
35. LI Qianqian, Fuji Ren, Shen Xiaoyan and XIN KANG :
Speech emotion recognition based on data enhancement in time-frequency domain,
International Symposium on Artificial Intelligence and Robotics 2020, Vol.115740R, 234-241, Oct. 2020.
(DOI: 10.1117/12.2579205,   Elsevier: Scopus)
36. Liu Jia, XIN KANG, Shun Nishide and Fuji Ren :
Collaborative filtering recommendation algorithm based on bisecting K-means clustering,
In International Symposium on Artificial Intelligence and Robotics 2020, Vol.11574, 311-318, Oct. 2020.
(DOI: 10.1117/12.2580026,   Elsevier: Scopus)
37. Hirokazu Ito, Kazuyuki Matsumoto, XIN KANG, Tetsuya Tanioka, Yuko Yasuhara, Rozzano De Castro Locsin and Fuji Ren :
Examination to develop the artificial intelligence through transforming tacit knowledge of nurses' dialogue for patients with dementia towards explicit knowledge,
The 15th NLPKE (NLPKE 2020), WEB, Oct. 2020.
38. jiaqiao zhang, XIN KANG, Hongjun Ni and Fuji Ren :
Surface Defects Classification of Steel Strips based on Transfer Learning and Naive Bayes Model,
Proceedings of The 15 th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE20), 22-23, Oct. 2020.
39. Masago Koji, Amo Mizuho, Shun Nishide, XIN KANG and Fuji Ren :
Generation of Musical Scores from Chord Sequences Using Neurodynamic Model,
International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 638-648, Sep. 2020.
(DOI: 10.1007/978-3-030-55789-8_55,   Elsevier: Scopus)
40. zheng liu, XIN KANG, Shun Nishide and Fuji Ren :
A Chinese-Japanese Vowel Priority Lip Matching Scheme Based on Humanoid Robot Ren-Xin,
In Proceedings of 2020 5th International Symposium on Artificial Intelligence and Robotics (ISAIR2020), Jun. 2020.
41. Sumida Hiroaki, Fuji Ren, Shun Nishide and XIN KANG :
Environment Recognition Using Robot Camera,
2020 5th IEEE International Conference on Big Data Analytics (ICBDA), 282-286, May 2020.
(DOI: 10.1109/ICBDA49040.2020.9101205)
42. Chen Haiyan, Liu Zheng, XIN KANG, Shun Nishide and Fuji Ren :
Investigating voice features for Speech emotion recognition based on four kinds of machine learning methods,
Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2019), 195-199, Singapore, Dec. 2019.
(DOI: 10.1109/CCIS48116.2019.9073725)
43. Yasumura Ryosuke, Shun Nishide, XIN KANG and Fuji Ren :
Constructing a Fundamental DevelopmentalDrawing Learning Model Using an Arm Robot,
Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2019), 185-189, Singapore, Dec. 2019.
(DOI: 10.1109/CCIS48116.2019.9073689)
44. Li Jiaen, Fuji Ren, Shun Nishide and XIN KANG :
Character action recognition based on deep convolutional neural network and action sequence,
Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2019), 149-153, Singapore, Dec. 2019.
(DOI: 10.1109/CCIS48116.2019.9073735)
45. Lu Xin, XIN KANG, Shun Nishide and Fuji Ren :
Object detection based on SSD-ResNet,
Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2019), 89-92, Singapore, Dec. 2019.
(DOI: 10.1109/CCIS48116.2019.9073753)
46. Dou Rongyu, Shun Nishide, Fuji Ren and XIN KANG :
ExploringUncertain Samples through Active Learning To Enhance Text Emotion Classification,
Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2019), 26-30, Singapore, Dec. 2019.
(DOI: 10.1109/CCIS48116.2019.9073729)
47. Hu Junlin, XIN KANG, Shun Nishide and Fuji Ren :
Text multi-label sentiment analysis based on Bi-LSTM,
Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2019), 16-20, Singapore, Dec. 2019.
(DOI: 10.1109/CCIS48116.2019.9073727)
48. Zhou Zheng, XIN KANG, Shun Nishide and Fuji Ren :
Capture Important Information for Reading andReasoning by A Two-Pass Attention Mechanism in Dynamic Memory Network,
Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2019), Dec. 2019.
49. Yun Gao, Haitao Yu, XIN KANG and Fuji Ren :
TUA1 at the TREC 2019: Deep Learning Track,
Proceedings of 28th Text Retrieval Conference (TREC 2019), Vol.1250, 1-3, Nov. 2019.
(Elsevier: Scopus)
50. Zhou Yitao, Fuji Ren, Shun Nishide and XIN KANG :
Facial Sentiment Classification Based on Resnet-18 Model,
Proceedings of 2019 International Conference on Electronic Engineering and Informatics (EEI), 463-466, Sep. 2019.
(DOI: 10.1109/EEI48997.2019.00106)
51. Zhou Yangyang, XIN KANG and Fuji Ren :
TUA1 at ImageCLEF 2019 VQA-Med: a Classification and Generation Model based on Transfer Learning,
Working Notes of CLEF (2019), Vol.2380, 1-7, Lugano, Sep. 2019.
(Elsevier: Scopus)
52. Yuxiang Zhou, Ni Hongjun, Fuji Ren and XIN KANG :
Face and Gender Recognition System Based on Convolutional Neural networks,
Proceedings of 2019 IEEE International Conference on Mechatronics and Automation (ICMA), 1091-1095, Tianjin, Aug. 2019.
(DOI: 10.1109/ICMA.2019.8816192)
53. Fu Kangwei, Sun Ling, XIN KANG and Fuji Ren :
Text Detection for Natural Scene based on MobileNet V2 and U-Net,
Proceedings of 2019 IEEE International Conference on Mechatronics and Automation (ICMA), 1560-1564, Tianjin, Aug. 2019.
(DOI: 10.1109/ICMA.2019.8816384,   Elsevier: Scopus)
54. Tang Jingwei, Yao Xingtian, XIN KANG, Shun Nishide and Fuji Ren :
Position-Free Hand Gesture Recognition Using Single Shot MultiBox Detector Based Neural Network,
Proceedings of 2019 IEEE International Conference on Mechatronics and Automation (ICMA), 2251-2256, Tianjin, Aug. 2019.
(DOI: 10.1109/ICMA.2019.8816203,   Elsevier: Scopus)
55. Zhou Yangyang, Liu Zheng, XIN KANG, Yunong Wu and Fuji Ren :
TUA1 at the NTCIR-14 STC-3 Task,
Proceedings of the 14th NTCIR Conference, 338-345, Jun. 2019.
56. Lu Qingqing, Zhang Xiaomei, XIN KANG and Fuji Ren :
Feature Fusion Based on Neural Image Captioning with Spatial Attention,
Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering (WCSE 2019), 195-200, Hong Kong, Jun. 2019.
(Elsevier: Scopus)
57. Lu Yitian, Jiang Ping, Shun Nishide, XIN KANG and Fuji Ren :
Traffic Sign Recognition Based on Up-sampling Convolution,
Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering (WCSE 2019), 136-142, Hong Kong, Jun. 2019.
(Elsevier: Scopus)
58. Liu Zheng, Fuji Ren and XIN KANG :
Research on the Effect of Different Speech Segment Lengths on Speech Emotion Recognition Based on LSTM,
Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering (WCSE 2019), 491-499, Hong Kong, Jun. 2019.
(Elsevier: Scopus)
59. Yoshie Setsu, XIN KANG, Shun Nishide and Fuji Ren :
Emotion recognition for Twitter language based on lingual and expressional information,
Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2018), 730-734, Nov. 2018.
(DOI: 10.1109/CCIS.2018.8691222,   Elsevier: Scopus)
60. Tianhao She, XIN KANG, Shun Nishide and Fuji Ren :
Improving LEO Robot ConversationalAbility via Deep Learning Algorithms for 416 Children with Autism,
Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2018), 416-420, Nov. 2018.
61. XIN KANG, Yunong Wu and Fuji Ren :
Progressively improving supervised emotion classification through active learning,
Lecture Notes in Computer Science, Vol.11248, 49-57, Oct. 2018.
(DOI: 10.1007/978-3-030-03014-8_4,   Elsevier: Scopus)
62. Yunong Wu, XIN KANG, Kazuyuki Matsumoto, Minoru Yoshida and Kenji Kita :
Emoticon-based emotion analysis for Weibo articles in sentence level,
Lecture Notes in Computer Science, Vol.11248, 104-112, Oct. 2018.
(DOI: 10.1007/978-3-030-03014-8_9,   Elsevier: Scopus)
63. Liu Ning, Zhou Zheng, XIN KANG and Fuji Ren :
TUA1 at eRisk 2018,
CEUR Workshop Proceedings (CEUR-WS.org), Vol.2125, 1-7, Sep. 2018.
64. Zhou Yangyang, XIN KANG and Fuji Ren :
Employing Inception-Resnet-v2 and Bi-LSTM for Medical Domain Visual Question Answering,
CEUR Workshop Proceedings (CEUR-WS.org), Vol.2125, 1-11, Sep. 2018.
(Elsevier: Scopus)
65. Yunong Wu, XIN KANG, Kazuyuki Matsumoto, Minoru Yoshida and Kenji Kita :
Sentence Emotion Classification for Intelligent Robotics Based on Word Lexicon and Emoticon Emotions,
Proceedings of the International Conference of Intelligent Robotic and Control Engineering, 38-41, Aug. 2018.
(DOI: 10.1109/IRCE.2018.8492969,   Elsevier: Scopus)
66. XIN KANG, Yunong Wu and Fuji Ren :
Mining Actionable Intents to Facilitate Search Engine Users' Actions,
Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17), 343-351, Chengdu, Dec. 2017.
67. Qianlu Huang, Fuji Ren, XIN KANG, Shun Nishide and Qiang Wang :
Recognizing facial emotions in the video,
Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17), 316-327, Chengdu, Dec. 2017.
68. Yuming Xu, Fuji Ren, XIN KANG, Shun Nishide and Ping Jiang :
Human Pose Recognition in Robots Based on Angle of Joint Vector,
Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17), 304-315, Chengdu, Dec. 2017.
69. Qian Zhang, Fuji Ren, XIN KANG, Shun Nishide, Shibing Zhang and Xiaoge Zhang :
Building Emotional Corpus for Microblogging Emoticons,
Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17), 289-303, Chengdu, Dec. 2017.
70. Jie Shen, Ziyun Jiao, Fuji Ren, XIN KANG, Shun Nishide, Suichun Qu and Yi Yang :
Realization and Improvement of Robot Object Recognition,
Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17), 251-263, Chengdu, Dec. 2017.
71. Yunong Wu, Kenji Kita, Kazuyuki Matsumoto, XIN KANG and Fuji Ren :
Exploring the Relations Between Posts and Comments for Short Text Conversation,
Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17), 228-238, Chengdu, Dec. 2017.
72. Ruixue Xia, Fuji Ren, XIN KANG and Shun Nishide :
RESEARCH ON CONSTRUCTION AND ANALYSIS OF JAPANESE-CHINESE EMOTIONAL EXPRESSION CORPUS,
Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17), 216-223, Chengdu, Dec. 2017.
73. Yasuda Tadayoshi, Yamashita Maki, Shun Nishide, XIN KANG and Fuji Ren :
Learning Efficient Drawing Sequence Through Training of Recurrent Neural Network Model,
Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17), 65-76, Chengdu, Dec. 2017.
74. Yunong Wu, XIN KANG, Kenji Kita and Fuji Ren :
TUA1 at NTCIR-13 Short Text Conversation 2 Task,
Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies, 211-214, Tokyo, Dec. 2017.
75. Mengjia He, XIN KANG and Fuji Ren :
TUA1 at the NTCIR-13 OpenLiveQ Task,
Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies, 105-107, Tokyo, Dec. 2017.
76. Chao Li, XIN KANG and Fuji Ren :
Medweb Task: Identify Multi-Symptoms from Tweets Based on Active Learning and Semantic Information,
Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies, 75-80, Tokyo, Dec. 2017.
77. XIN KANG, Yunong Wu and Fuji Ren :
TUA1 at the NTCIR-13 Actionable Knowledge Graph Task: Sampling Related Actions from Online Searching,
Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies, 346-353, Tokyo, Dec. 2017.
78. Ma Lei, Jiang Bitao and XIN KANG :
Shorthand Character Recognition based on Leap Motion Sensor,
The 11th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'16), Vol.0, No.0, 1, Okinawa, Dec. 2016.
79. Shun Nishide, Hidenobu Shibasaki, XIN KANG and Fuji Ren :
Generation of Humanlike Facial Expression for Natural Human-Robot Interaction System,
The 11th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'16), Okinawa, Dec. 2016.
80. XIN KANG, Yunong Wu and Fuji Ren :
Disambiguating Users' Temporal Intent in Search Queries with Deep Neural Networks,
The 11th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'16), 1, Okinawa, Dec. 2016.
81. Ning Liu, Mengjia He, Chao Li, XIN KANG and Fuji Ren :
TUTA1 at the NTCIR-12 Temporalia Task,
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 258-261, Tokyo, Jun. 2016.
82. XIN KANG, Yunong Wu and Fuji Ren :
KGO at the NTCIR-12 Temporalia Task: Exploring Temporal Information in Search Queries,
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 247-252, Tokyo, Jun. 2016.
83. XIN KANG and Fuji Ren :
Understanding Blog author's emotions with hierarchical Bayesian models,
2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC), 1-6, Mexico City, Mexico, May 2016.
(DOI: 10.1109/ICNSC.2016.7479037,   Elsevier: Scopus)
84. Chao Li, Fuji Ren and XIN KANG :
Verb-object Selectional Preferences in Chinese Based on Distributional Semantic Model,
18th International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS '16), 59-62, Venice, Italy, Jan. 2016.
85. XIN KANG, Yunong Wu and Zhang Zhifei :
Learning Salient Samples and Distributed Representations for Topic-Based Chinese Message Polarity Classification,
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing, 68-73, Beijing, Jul. 2015.
(DOI: 10.18653/v1/W15-3112)
86. Yu Haitao, XIN KANG and Fuji Ren :
TUTA1 at the NTCIR-11 Temporalia Task,
Proceedings of the 11th NTCIR Conference, 461-467, Dec. 2014.
87. Yunong Wu, Kenji Kita, Fuji Ren, Kazuyuki Matsumoto and XIN KANG :
Exploring Emotional Words for Chinese Document Chief Emotion Analysis,
The 25th Pacific Asia Conference on Language, Information, and Computation (PACLIC25), 597-606, Dec. 2011.
88. Wu Yunong, Kenji Kita, Fuji Ren, Kazuyuki Matsumoto and XIN KANG :
Exploring Emotional Words for Chinese Document Chief Emotion Analysis,
The 25th Pacific Asia Conference on Language, Information, and Computation (PACLIC25), 597-606, Dec. 2011.
89. Yunong Wu, Kenji Kita, Fuji Ren, Kazuyuki Matsumoto and XIN KANG :
Modification Relations based Emotional Keywords Annotation using Conditional Random Fields,
The 4th International Conference on Intelligent Networks and Intelligent Systems (ICINIS2011), 81-88, Nov. 2011.
90. Wu Yunong, Kenji Kita, Fuji Ren, Kazuyuki Matsumoto and XIN KANG :
Modification Relations based Emotional Keywords Annotation using Conditional Random Fields,
The 4th International Conference on Intelligent Networks and Intelligent Systems (ICINIS2011), 81-88, Nov. 2011.
91. XIN KANG, Fuji Ren and Yunong Wu :
Bottom Up: Exploring Word Emotions for Chinese Sentence Chief Sentiment Classification,
Proc. IEEE International Conference on Natural Language Processing and Knowledge Engineering, 422-426, Beijing, Aug. 2010.
(DOI: 10.1109/NLPKE.2010.5587793,   Elsevier: Scopus)
92. XIN KANG, Wang Xiaojie, Tan Yongmei and Fuji Ren :
A Simple Method Improving Precision of Cross Domain Bilingual Sentence Alignment,
International Conference on Advanced Intelligence (ICAI-08), 204-210, Oct. 2008.
93. XIN KANG, Wang Xiaojie and Fuji Ren :
Exploiting Syntactic and Semantic Information in Coarse Chinese Question Classification,
The 4th IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), 1-7, Oct. 2008.
(DOI: 10.1109/NLPKE.2008.4906803,   Elsevier: Scopus)

国内講演発表:

1. 森 大樹, 松本 和幸, 康 鑫, 篠山 学, 木内 敬太 :
ストレス管理 AI チャットシステムによる個人適応可能なストレス検出モデルの構築,
第 23 回情報科学技術フォーラム(FIT2024)講演論文集, Vol.3, 357-360, 2024年9月.
2. 森 大樹, 松本 和幸, 康 鑫, 篠山 学, 木内 敬太 :
社会的孤立の解消を目指したストレス管理AIチャットシステムの開発,
ITヘルスケア誌 第17回年次学術大会抄録集, Vol.19, No.1, 100-105, 2024年8月.
3. 柏原 功太郎, 髙鍋 俊樹, 木内 敬太, 梅原 英裕, 入澤 航史, 中瀧 理仁, 沼田 周助, 康 鑫, 吉田 稔, 松本 和幸 :
マルチモーダルなカウンセリングデータセットの構築と特徴量の分析,
ITヘルスケア誌 第17回年次学術大会抄録集, Vol.19, No.1, 94-99, 2024年8月.
4. 高鍋 俊樹, 松本 和幸, 木内 敬太, 康 鑫, 西村 良太, 篠山 学 :
感情分析のためのカウンセリングマルチモーダルデータセットの構築および評価,
情報処理学会全国大会講演論文集, 4-83-4-84, 2024年3月.
5. 篠山 学, 木内 敬太, 康 鑫, 西村 良太, 松本 和幸 :
インタビュー対話における問い返し文の生成に関する検討,
言語処理学会 第29回年次大会 発表論文集, 405-407, 2023年3月.
6. 松本 和幸, 木内 敬太, 康 鑫, 西村 良太, 篠山 学 :
クライアントのストレスとカウンセリング場面のマルチモーダ ル感情推定の関連性,
JSKE 第18回日本感性工学会春季大会講演論文集, 2023年3月.
7. 小田 達也, 康 鑫 :
HOG特徴量を用いた歩容認識に関する研究,
情報処理学会第85回全国大会, 1-2, 2023年3月.
8. 池上 達也, 任 福継, 西出 俊, 康 鑫 :
Tweet日本語感情コーパスに対するBERTの効果の検証,
情報処理学会全国大会講演論文集, 527-528, 2021年3月.
9. 寺尾 渉吾, 西出 俊, 康 鑫, 任 福継 :
ロボット教師における特定人物の音声の自動生成,
情報処理学会第83回全国大会講演論文集, 225-226, 2021年3月.
10. 門田 尚之, 西出 俊, 康 鑫, 任 福継 :
ロボット教師における特定分野のQAシステムの構築,
情報処理学会第83回全国大会講演論文集, 563-564, 2021年3月.
11. 真砂 光志, 西出 俊, 康 鑫, 任 福継 :
神経力学モデルを用いた楽譜の学習とコード系列からの和音生成,
第83回情報処理学会全国大会, Vol.2021, No.2, 451-452, 2021年3月.
12. 久保野 雄亮, 西出 俊, 康 鑫, 任 福継 :
神経力学モデルによる複雑図形の学習と生成,
情報処理学会第83回全国大会, Vol.2021, No.2, 449-450, 2021年3月.
13. 山崎 直登, 康 鑫, 西出 俊, 任 福継 :
ロボット教師による特定分野の記述式問題の判定について,
電子情報通信学会総合大会講演論文集, 2020年3月.
14. 房登 淳平, 康 鑫, 西出 俊, 任 福継 :
単語の感情属性を活かしたロボット教師の表情生成,
電子情報通信学会総合大会講演論文集, 2020年3月.
15. 寺尾 渉吾, 康 鑫, 西出 俊, 任 福継 :
ロボット教師における特定人物の音声の自動生成,
電子情報通信学会総合大会講演論文集, 2020年3月.
16. 門田 尚之, 康 鑫, 西出 俊, 任 福継 :
ロボット教師における特定分野のQAシステムの構築,
電子情報通信学会総合大会講演論文集, 2020年3月.
17. 川野 真子, 西出 俊, 康 鑫, 任 福継 :
深層モデルを用いた画像系列の特徴量自己組織化と映像生成,
情報処理学会全国大会講演論文集, 2-289-2-290, 2020年3月.
18. 野本 楓晟, 西出 俊, 康 鑫, 任 福継 :
構造に注目した神経力学モデルを用いた漢字の筆跡ダイナミクスの学習,
情報処理学会全国大会講演論文集, 2-281-2-282, 2020年3月.
19. 久保野 雄亮, 西出 俊, 康 鑫, 任 福継 :
ペンの持ち上げを考慮した神経力学モデルによる描画図形予測と生成,
情報処理学会全国大会講演論文集, 2-283-2-284, 2020年3月.
20. 真砂 光志, 西出 俊, 康 鑫, 任 福継 :
リカレントニューラルネットワークを用いた未学習のコードからの楽譜生成,
情報処理学会全国大会講演論文集, 2-279-2-280, 2020年3月.
21. 安村 亮祐, 西出 俊, 康 鑫, 任 福継 :
アームロボットを用いた発達的描画モデルの構築,
日本ロボット学会学術講演会, 2019年9月.
22. 近藤 健介, 西出 俊, 康 鑫, 任 福継 :
Kinectを用いた神経力学モデルによる人の身体動作のクラスタリング,
情報処理学会全国大会講演論文集, 2-519-2-520, 2019年3月.
23. 乾 祥大, 西出 俊, 康 鑫, 任 福継 :
深層学習を用いた人の行動認識と感情生成,
情報処理学会全国大会講演論文集, 2-517-2-518, 2019年3月.
24. 安村 亮祐, 西出 俊, 康 鑫, 任 福継 :
アームロボットのための発達的な描画学習モデルの基盤システム構築,
情報処理学会全国大会講演論文集, 2-313-2-314, 2019年3月.
25. 天羽 水穂, 西出 俊, 康 鑫, 任 福継 :
音符・コード系列に注目した神経力学モデルによる音楽情報の階層的学習,
情報処理学会全国大会講演論文集, 2-375-2-376, 2019年3月.
26. 森 美咲, 西出 俊, 康 鑫, 任 福継 :
神経力学モデルを用いた部分描画系列からの描画図形予測,
情報処理学会全国大会講演論文集, 2-285-2-286, 2019年3月.
27. 野中 柚希, 西出 俊, 康 鑫, 任 福継 :
ペンの持ち上げを考慮した神経力学モデルによる手書き漢字の学習,
情報処理学会全国大会講演論文集, 2-255-2-256, 2019年3月.
28. 浦上 浩希, 西出 俊, 康 鑫, 任 福継 :
連続感情空間上の感情状態遷移に基づく人間・ロボット対話システム,
情報処理学会全国大会講演論文集, 2-399-2-400, 2018年3月.
29. 安田 伊慶, 西出 俊, 康 鑫, 任 福継 :
神経回路モデルを用いたプリミティブの階層的学習,
情報処理学会全国大会講演論文集, 2-219-2-220, 2018年3月.
30. 杉本 祐貴, 任 福継, 西出 俊, 康 鑫 :
心的状態遷移ネットワークに基づく感情会話システムの構築,
言語処理学会年次大会, 658-661, 2018年3月.
31. 高田 優子, 西出 俊, 康 鑫, 任 福継 :
リカレントニューラルネットワークモデルを用いた図形の描画系列学習,
情報処理学会全国大会講演論文集, 2-489-2-490, 2018年3月.
32. 薛 佳恵, 康 鑫, 西出 俊, 任 福継 :
言語情報に基づく話言葉の感情抽出に関する研究,
人工知能学会全国大会第31回, Vol.0, No.0, 1-2, 2017年5月.
33. Yoshie Setsu, 康 鑫, 西出 俊, 任 福継 :
Extraction emotion from spoken language based on the language information,
The 31st Annual Conference of the Japanese Society for Artificial Intelligence, 1-2, 2017年5月.
34. 康 鑫 :
言語処理に基づく感情認識,
エンジニアリングフェスティバル 2016, 2016年9月.

科学研究費補助金 (KAKEN Grants Database @ NII.ac.jp)

  • Learning conversation agents for long-vision response generation in multi-round communications (研究課題/領域番号: 19K20345 )
  • A scalable privacy-preserving information retrieval system based on federated optimization, on-device intelligence and semantic matching (研究課題/領域番号: 19H04215 )
  • 研究者番号（80777350）による検索