| 和文冊子 ● |
[氏名] 康 鑫, XIN KANG,
[Email] kang-xin@tokushima-u.ac.jp,
[職名・学位] 助教・博士(工学),
[専門分野] 情報学, 感性情報処理, 医用生体工学, 情報学, 自然言語処理,
[所属学会] The 11th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE16)・Applied Intelligence・The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17)・The Sixteenth China National Conference on Computational Linguistics, CCL 2017・Wireless Personal Communications・CICLING 2016・2022 4th International Conference on Natural Language Processing・The 4th International Conference on Natural Language Processing・The 13th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE18)・The 15th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE20)・The 17th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE22)・The 16th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE21)・The 4th International Conference on Natural Language Processing・The 6th International Conference on Natural Language Processing and Information Retrieval・The 7th International Conference on Natural Language Processing and Information Retrieval・Cognitive Robotics・IEEE Transactions on Affective Computing・IEEE Internet of Things・Neurocomputing・Research・The 17th NTCIR Conference,
[社会活動] ,
[研究テーマ] AI透明性, マルチモーダル感性計算, 精神保健のAI支援, 金融決策のAI支援, 大規模言語モデルに基づく汎用人工知能,
[キーワード] 人工知能, 深層学習, 因果関係学習, 認知二重過程模倣型神経記号AI, 人工知能, 深層学習, マルチモーダル機械学習, 感情認識, 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, 人工知能, 深層学習, 因果関係学習, 大規模言語モデル, 金融工学, 人工知能, 深層学習, 認知心理学, 最適化,
[共同研究可能テーマ] 透明性と信頼性の高い人間中心AIシステム研究, 多モーダル神経記号AIに基づく信頼性の高い早期うつ病検知システムの研究, 遠隔勤務者のストレス高精度早期検出のためのマルチモーダル感情推定技術の開発, 遠隔勤務者のストレス高精度早期検出のためのマルチモーダル感情推定技術の開発, A Scalable Privacy-Preserving Information Retrieval System Based on Federated Optimization, On-Device Intelligence and Semantic Matching, 感性AIと知能ロボットにおける研究機能強化, マルチモーダル発話意図認識技術に基づくバーチャル知的対話ロボットの開発, 遠隔勤務者のストレス高精度早期検出のためのマルチモーダル感情推定技術の開発, 透明性と信頼性の高い人間中心AIシステム研究, 多モーダル神経記号AIに基づく信頼性の高い早期うつ病検知システムの研究, 透明性と信頼性の高い人間中心AIシステム研究, Learning conversation agents for long-vision response generation in multi-round communications, A scalable privacy-preserving information retrieval system based on federated optimization, on-device intelligence and semantic matching, A Scalable Privacy-Preserving Information Retrieval System Based on Federated Optimization, On-Device Intelligence and Semantic Matching, 透明性と信頼性の高い人間中心AIシステム研究, Learning Conversation Agents for Long-Vision Response Generation in Multi-Round Communications
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| 欧文冊子 ● |
[Name] XIN KANG,
[Email] kang-xin@tokushima-u.ac.jp,
[Title, Degree] Assistant Professor・Doctor of Engineering,
[Field of Study] Informatics, Affective Computing, Biomedical Engineering, Informatics, Natural Language Processing,
[Academic Society] The 11th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE16)・Applied Intelligence・The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17)・The Sixteenth China National Conference on Computational Linguistics, CCL 2017・Wireless Personal Communications・CICLING 2016・2022 4th International Conference on Natural Language Processing・The 4th International Conference on Natural Language Processing・The 13th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE18)・The 15th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE20)・The 17th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE22)・The 16th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE21)・The 4th International Conference on Natural Language Processing・The 6th International Conference on Natural Language Processing and Information Retrieval・The 7th International Conference on Natural Language Processing and Information Retrieval・Cognitive Robotics・IEEE Transactions on Affective Computing・IEEE Internet of Things・Neurocomputing・Research・The 17th NTCIR Conference,
[Social Activity] ,
[Theme of Study] AI Transparency, Multimodal Affective Computing, AI Support for Mental Health Care, AI Support for Financial Decision-Making, Artificial General Intelligence based on Large Language Models,
[Keyword] artificial intelligence, deep learning, Causal Machine Learning, Cognitive Dual Process Imitative Neuro-Symbolic AI, artificial intelligence, deep learning, Multimodal Machine Learning, Emotion Recognition, Cognitive Dual Process Imitative Neuro-Symbolic AI, Causal Machine Learning, Multimodal Machine Learning, Depression Detection Assistant AI, artificial intelligence, deep learning, Causal Machine Learning, Large Language Models, financial engineering, artificial intelligence, deep learning, cognitive psychology, optimization,
[Collaboratible] 透明性と信頼性の高い人間中心AIシステム研究, 多モーダル神経記号AIに基づく信頼性の高い早期うつ病検知システムの研究, 遠隔勤務者のストレス高精度早期検出のためのマルチモーダル感情推定技術の開発, 遠隔勤務者のストレス高精度早期検出のためのマルチモーダル感情推定技術の開発, A Scalable Privacy-Preserving Information Retrieval System Based on Federated Optimization, On-Device Intelligence and Semantic Matching, 感性AIと知能ロボットにおける研究機能強化, マルチモーダル発話意図認識技術に基づくバーチャル知的対話ロボットの開発, 遠隔勤務者のストレス高精度早期検出のためのマルチモーダル感情推定技術の開発, 透明性と信頼性の高い人間中心AIシステム研究, 多モーダル神経記号AIに基づく信頼性の高い早期うつ病検知システムの研究, 透明性と信頼性の高い人間中心AIシステム研究, Learning conversation agents for long-vision response generation in multi-round communications, A scalable privacy-preserving information retrieval system based on federated optimization, on-device intelligence and semantic matching, A Scalable Privacy-Preserving Information Retrieval System Based on Federated Optimization, On-Device Intelligence and Semantic Matching, 透明性と信頼性の高い人間中心AIシステム研究, Learning Conversation Agents for Long-Vision Response Generation in Multi-Round Communications
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