XIN KANG

コウシン | XIN KANG

Affiliation and department：

Research field (6)： Intelligent informatics , Sensitivity (kansei) informatics , Intelligent informatics , Perceptual information processing , Information theory , Human interfaces and interactions

Research keywords (9)： AI transparency , Affective computing , AI Support for Mental Health Care , AI Support for Financial Decision-Making , Causal Machine Learning , Multimodal Machine Learning , Neural-Symbolic AI , Natural language processing , Conversation generation

Research theme for competitive and other funds (10)：

2022 - 2027 感情エネルギー駆動型心的状態遷移ネットワークに基づく感情インタラクション
2023 - 2024 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
2023 - 2024 Research on Transparent and Trustworthy Human-Centered AI Systems
2019 - 2024 A Scalable Privacy-Preserving Information Retrieval System Based on Federated Optimization, On-Device Intelligence and Semantic Matching
2022 - 2023 Development of Multimodal Emotion Estimation Technology for High-Precision Early Detection of Stress in Remote Workers

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Papers (90)：

Linhuang Wang, Xin Kang, Nakagawa Satoshi, 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). 2024. 1-5
Rongyu Dou, Xin Kang. TAM-SenticNet: A Neuro-Symbolic AI approach for early depression detection via social media analysis. Computers and Electrical Engineering. 2024. 114. 1-10
Yuxiang Zhou, Xin Kang, Fuji Ren, Huimin Lu, Satoshi Nakagawa, Xiao Shan. A multi-attention and depthwise separable convolution network for medical image segmentation. Neurocomputing. 2024. 564. 126970-126979
Yamane Daichi, Xin Kang. TUA1 at NTCIR-17 FinArg-1 Task. Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies. 2023. 1-5
Yuxiang Zhou, Xin Kang, Fuji Ren, Nakagawa Satoshi, Xiao Shan. DEU-Net: Dual Encoder U-Net for 3D Medical Image Segmentation. The 22nd International Conference on Computer and Information Technology. 2023. 1-7

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MISC (25)：

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. 2023
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
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. 2023
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. 2021
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. 2021

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Books (2)：

The most friendly deep learning introductory classroom
Sotec Co., Ltd. 2018
Artificial Intelligence with Uncertainty
NTS Co., Ltd. 2017

Lectures and oral presentations (14)：

TUA1 at eRisk 2022: Exploring Affective Memories for Early Detection of Depression
(Proceedings of the Thirteenth International Conference of the CLEF Association (CLEF 2022) 2022)
TUA1 at the NTCIR-15 DialEval-1 Task
(Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies 2020)
Building Label-Balanced Emotion Corpus Based on Active Learning for Text Emotion Classification
(The 4th International Symposium on Artificial Intelligence and Robotics (ISAIR 2019) 2019)
Mining Actionable Intents to Facilitate Search Engine Users' Actions
(Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 2017)
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 2017)

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Education (3)：

2009 - 2013 Tokushima University Graduate School of Advanced Technology and Science Information Science and Intelligent System
2006 - 2009 Beijing University of Posts and Telecommunications Graduate School of Information Science and Engineering Pattern recognition and intelligent system
2002 - 2006 Northeastern University (China) Faculty of Software Engineering Software Engineering

Work history (3)：

2016/04 - 現在 Tokushima University Graduate School of Science and Technology Assistant professor
2015/04 - 2016/03 Tokushima University Institute of Technology and Science Assistant professor
2014/04 - 2016/03 Tongji University Department of Electronics and Information Engineering Postdoctoral researcher

Awards (9)：

2020/10 - The 15th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'20) Best Contribution Award
2020/03 - The 82nd National Convention of IPSJ Student Encouragement Award
2019/08 - The 4th International Symposium on Artificial Intelligence and Robotics (ISAIR 2019) Best Presentation Award Building Label-Balanced Emotion Corpus Based on Active Learning for Text Emotion Classification
2019/03 - The 81st National Convention of IPSJ Student Encouragement Award
2019/03 - The 81st National Convention of IPSJ Student Encouragement Award

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Association Membership(s) (3)：

ACM (Association for Computing Machinery) , ACL (Association for Computational Linguistics) , IEEE (Institute of Electrical and Electronics Engineers)

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