{"id":70,"date":"2023-05-02T21:08:24","date_gmt":"2023-05-02T12:08:24","guid":{"rendered":"https:\/\/www.soc.is.kit.ac.jp\/?page_id=70"},"modified":"2026-03-12T17:32:15","modified_gmt":"2026-03-12T08:32:15","slug":"%e7%a0%94%e7%a9%b6%e6%88%90%e6%9e%9c","status":"publish","type":"page","link":"https:\/\/www.soc.is.kit.ac.jp\/?page_id=70","title":{"rendered":"\u767a\u8868\u8ad6\u6587(From 2023.4)"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p>(A) \u67fb\u8aad\u4ed8\u5b66\u8853\u8ad6\u6587<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Kong Wei Kun, Xin Liu, Teeradaj Racharak, Guanqun Sun, Qiang Ma, Le-Minh Nguyen, Weight-aware tasks for evaluating knowledge graph embeddings, Knowledge-Based Systems (2025),&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.knosys.2025.113596\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1016\/j.knosys.2025.113596<\/a><a href=\"https:\/\/doi.org\/10.1016\/j.knosys.2025.113596.\" target=\"_blank\" rel=\"noreferrer noopener\">.<\/a><\/li>\n\n\n\n<li>Y. Ito and Q. Ma, \"Diversity-oriented Document Retrieval With Consideration of Acceptability,\" in IEEE Access, vol. 12, pp. 178267-178281, 2024, doi: 10.1109\/ACCESS.2024.3507184.<\/li>\n\n\n\n<li>Y. Kong, K. Yi, L. Wang, C. Peng, L. -M. Nguyen and Q. Ma, \"RPMTD: A Route Planning Model With Consideration of Tourists\u2019 Distribution,\" in IEEE Access, vol. 12, pp. 69488-69504, 2024, doi: 10.1109\/ACCESS.2024.3400373.<\/li>\n\n\n\n<li>Chengyang Ye, Qiang Ma:Semantic Relationship-Based Unsupervised Representation Learning of Multivariate Time Series. IEICE Trans. Inf. Syst. 107(2): 191-200 (2024)<\/li>\n\n\n\n<li>Yi, K., Yamagishi, R., Li, J. et al. User-experience oriented POI recommendation with pseudo rating. Multimed Tools Appl (2024).&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/s11042-024-19455-7\">https:\/\/doi.org\/10.1007\/s11042-024-19455-7<\/a><\/li>\n\n\n\n<li>Chengyang Ye, Qiang Ma:LBP4MTS: Local Binary Pattern-Based Unsupervised Representation Learning of Multivariate Time Series. IEEE Access 11: 118595-118605 (2023)<\/li>\n\n\n\n<li>Kong Weikun, Xin Liu, Teeradaj Racharak, Guanqun Sun, Jianan Chen, Qiang Ma, and Le-Minh Nguyen, WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs,IEEE Access<strong>,  <\/strong>2023<\/li>\n\n\n\n<li><\/li>\n<\/ul>\n\n\n\n<p>(B) \u67fb\u8aad\u4ed8\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Rintaro Hirosawa and Qiang Ma. MUSE: Multi interest models Using Self-attentive Election for Sequential Recommendation. ADMA 2025<\/li>\n\n\n\n<li>Gong,Qing Ma, EdgeSMOTE: Edge Classification on Imbalanced Multi-relational Graphs, ADMA 2025<\/li>\n\n\n\n<li>Masaharu Inoue, Hidekazu Kasahara, Qiang Ma, \u201cBehaviour modeling and Wayfinding Error Detection in Low<br>Mountain Hiking\u201d, DEXA 2025 (to appear)<\/li>\n\n\n\n<li>Takuto Nabeoka, Yijun Duan, Qiang Ma, \u201cRelationship Analysis of Image-Text Pair in SNS Posts\u201d, DEXA 2025 (to appear)<\/li>\n\n\n\n<li>Yuto Sakai, Qiang Ma, \u201cFood Recommendation With Balancing Comfort and Curiosity\u201d, DEXA 2025 (to appear)<\/li>\n\n\n\n<li>Yuki Ito, Qiang Ma, \u201cEnsemble ToT and Its Application to Automatic Grading\u201d, DEXA 2025 (to appear)<\/li>\n\n\n\n<li>Yang Zhang, Wenbo Yang, Jun Wang, Qiang Ma, Jie Xiong, \u201cCAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements\u201d, KDD 2025 (to appear)<\/li>\n\n\n\n<li>Yijun Duan, Xin Liu, Steven Lynden, Akiyoshi Matono, Qiang Ma. How Useful Is Graph Pooling for Node-level Tasks? In Proceedings of the 2025 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD\u201925).<\/li>\n\n\n\n<li>Katsuki Yasuoka, Takaaki Hosoda, Kiyomi Miyoshi, Tokuro Matsuo, Qiang Ma, \u201cToward a Quantitative Validation of Entrepreneurial Char-acteristics and Ecosystem in Japan: An Exploratory Factor Analysis\u201d,the 6th International Conference on Decision Science, Theory and Management (to appear)<\/li>\n\n\n\n<li>Yuki Ito and Qiang Ma. 2025. Supporting student self-learning using generative AI. In Proceedings of the 2024 the 16th International Conference on Education Technology and Computers (ICETC '24). Association for Computing Machinery, New York, NY, USA, 97\u2013103.&nbsp;<a href=\"https:\/\/doi.org\/10.1145\/3702163.3702177\">https:\/\/doi.org\/10.1145\/3702163.3702177<\/a><\/li>\n\n\n\n<li>Rintaro Hirosawa, Kun Yi and Qiang Ma. (2024). Tailored Trip: \u000bAdvanced Route Planning with Personalization Levels in Focus. iiWAS2024<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/35\/4069.html\">Hiroyuki Tanaka<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/150\/1990.html\">Hidekazu Kasahara<\/a><img decoding=\"async\" src=\"https:\/\/dblp.org\/img\/orcid-mark.12x12.png\" alt=\"\">,&nbsp;Qiang Ma<img decoding=\"async\" src=\"https:\/\/dblp.org\/img\/orcid-mark.12x12.png\" alt=\"\">:<strong>Traffic Congestion-Aware Tourist Route Planning.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/conf\/iiwas\/iiwas2024-2.html#TanakaKM24\">iiWAS (2)&nbsp;2024<\/a>:&nbsp;196-201<\/li>\n\n\n\n<li>Keishi Fukuda and Qiang Ma, Leveraging Heterogeneous Text Data for Reinforcement Learning-based Stock Trading Strategies, atabase and Expert Systems Applications. DEXA 2024<\/li>\n\n\n\n<li>Yi, K., Maekawa, T., Kong, Y., Bai, Z., Jin, X., Ma, Q. (2024). U-<a href=\".\/?cmd=edit&amp;page=KyotoTrip&amp;refer=%E7%A0%94%E7%A9%B6%E6%88%90%E6%9E%9C%E3%83%BB%E5%AD%A6%E4%BD%8D%E8%AB%96%E6%96%872024%E5%B9%B4%E5%BA%A6\">KyotoTrip<\/a>: A Travel Planning System for User Experience Oriented Trips. In: Berezina, K., Nixon, L., Tuomi, A. (eds) Information and Communication Technologies in Tourism 2024. ENTER 2024. Springer Proceedings in Business and Economics. Springer, Cham.&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/978-3-031-58839-6_36\">https:\/\/doi.org\/10.1007\/978-3-031-58839-6_36<\/a><\/li>\n\n\n\n<li>Yi, K., Jin, X., Bai, Z., Kong, Y., Ma, Q. (2024). An Empirical User Study on Congestion-Aware Route Recommendation. In: Berezina, K., Nixon, L., Tuomi, A. (eds) Information and Communication Technologies in Tourism 2024. ENTER 2024. Springer Proceedings in Business and Economics. Springer, Cham.&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/978-3-031-58839-6_35\">https:\/\/doi.org\/10.1007\/978-3-031-58839-6_35<\/a><\/li>\n\n\n\n<li>Duan, Y., Liu, X., Jatowt, A., Yu, H., Linden, S., Matono, A. (2024). Inexact Graph Representation Learning. In: The IEEE International Joint Conference on Neural Networks 2024 (IJCNN 2024).<\/li>\n\n\n\n<li>Takeyuki Maekawa, Hidekazu Kasahara, Qiang Ma:Tour Route Generation Considering Spot Congestion. DEXA (1) 2023: 478-492<\/li>\n\n\n\n<li>Sotaro Moritake, Hidekazu Kasahara, Qiang Ma:MERIHARI-Area Tour Planning by Considering Regional Characteristics. DEXA (2) 2023: 49-64<\/li>\n\n\n\n<li>Kong Yuntao, Peng Chen, Nguyen Minh Le, Qiang Ma: Dual Congestion-Aware Route Planning for Tourists by Multi-agent Reinforcement Learning. DEXA (2) 2023: 331-336<\/li>\n\n\n\n<li>Jin XU, Zhengyang Bai, Qiang Ma: Tourist Attractions Prediction with Enhanced Location Knowledge Graph, IEEE&nbsp;<a href=\".\/?cmd=edit&amp;page=SmartCity&amp;refer=%E7%A0%94%E7%A9%B6%E6%88%90%E6%9E%9C%E3%83%BB%E5%AD%A6%E4%BD%8D%E8%AB%96%E6%96%872023%E5%B9%B4%E5%BA%A6\">SmartCity<\/a>&nbsp;2023:972-979, doi: 10.1109\/HPCC-DSS-<a href=\".\/?cmd=edit&amp;page=SmartCity&amp;refer=%E7%A0%94%E7%A9%B6%E6%88%90%E6%9E%9C%E3%83%BB%E5%AD%A6%E4%BD%8D%E8%AB%96%E6%96%872023%E5%B9%B4%E5%BA%A6\">SmartCity<\/a>-DependSys60770.2023.00140.<\/li>\n\n\n\n<li>Sakai, Y., Ma, Q. (2023). Taste Representation Learning Toward Food Recommendation Balancing Curiosity and Comfort. In: Delir Haghighi, P., et al. Information Integration and Web Intelligence. iiWAS 2023. Lecture Notes in Computer Science, vol 14416. Springer, Cham.&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/978-3-031-48316-5_36\">https:\/\/doi.org\/10.1007\/978-3-031-48316-5_36<\/a><\/li>\n\n\n\n<li>Ito, Y., Ma, Q. (2023). Discovering Diverse Information Considering User Acceptability. In: Strauss, C., Amagasa, T., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2023. Lecture Notes in Computer Science, vol 14146. Springer, Cham.&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/978-3-031-39847-6_24\">https:\/\/doi.org\/10.1007\/978-3-031-39847-6_24<\/a><\/li>\n\n\n\n<li>Takeyuki Maekawa, Hidekazu Kasahara, Qiang Ma: Tour Route Generation Considering Spot Congestion. DEXA (1) 2023: 478-492<\/li>\n\n\n\n<li>Sotaro Moritake, Hidekazu Kasahara, Qiang Ma: MERIHARI-Area Tour Planning by Considering Regional Characteristics. DEXA (2) 2023: 49-64<\/li>\n\n\n\n<li>Yuki Ito, Qiang Ma: Discovering Diverse Information Considering User Acceptability. DEXA (1) 2023: 326-331<\/li>\n\n\n\n<li>Kong Yuntao, Peng Chen, Nguyen Minh Le, Qiang Ma: Dual Congestion-Aware Route Planning for Tourists by Multi-agent Reinforcement Learning. DEXA (2) 2023: 331-336<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/321\/5421.html\">Chengyang Ye<\/a>,&nbsp;Qiang Ma: <strong>GP-HLS: Gaussian Process-Based Unsupervised High-Level Semantics Representation Learning of Multivariate Time Series.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/conf\/dasfaa\/dasfaa2023-1.html#YeM23\">DASFAA (1)&nbsp;2023<\/a>:&nbsp;221-236<\/li>\n<\/ul>\n\n\n\n<p>(C) \u56fd\u5185\u5b66\u4f1a\u8ad6\u6587(\u67fb\u8aad\u306a\u3057)<br><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6c17\u8c61\u60c5\u5831\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u6027\u3068\u9577\u671f\u6027\u3092\u8003\u616e\u3057\u305fPOI\u63a8\u85a6<br>*\u4e09\u7530 \u5149\u8d771\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66) DEIM2026<\/li>\n\n\n\n<li>\u8907\u6570\u8208\u5473\u3092\u7528\u3044\u305f\u30b7\u30fc\u30b1\u30f3\u30b7\u30e3\u30eb\u63a8\u85a6\u30e2\u30c7\u30eb<br>*\u5ee3\u6fa4 \u51db\u592a\u90ce1\u3001Liu Yun1\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66) DEIM2026<\/li>\n\n\n\n<li>\u3086\u3068\u308a\u304c\u3042\u308b\u89b3\u5149\u30eb\u30fc\u30c8\u306e\u30d7\u30e9\u30f3\u30cb\u30f3\u30b0<br>*\u8fbb\u672c \u51491\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66) DEIM2026<\/li>\n\n\n\n<li>\u30b0\u30ea\u30c3\u30c9\u306e\u591a\u7c92\u5ea6\u3092\u8003\u616e\u3057\u305f\u4f4e\u5c71\u767b\u5c71\u306e\u9053\u8ff7\u3044\u691c\u51fa<br>*\u4e2d\u6751 \u6d0b\u79501\u3001\u7b20\u539f \u79c0\u4e002\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u30012. \u5927\u962a\u6210\u8e4a\u5927\u5b66) DEIM2026<\/li>\n\n\n\n<li>\u30da\u30eb\u30bd\u30ca\u30c8\u30fc\u30af\u30f3\u306e\u751f\u6210\u3068\u3053\u308c\u3092\u7528\u3044\u305f\u5bfe\u8a71\u578b\u30b2\u30fc\u30e0\u306e\u96e3\u6613\u5ea6\u5236\u5fa1<br>*\u89d2\u7530 \u60a0\u4e4b\u4ecb1\u3001\u4e2d\u5712 \u5eb7\u80561\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u5927\u5b66) DEIM2026<\/li>\n\n\n\n<li>KMAP: \u77e5\u8b58\u5236\u5fa1\u53ef\u80fd\u306a\u30de\u30eb\u30c1LLM\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u7528\u3044\u305f\u30d4\u30a2\u30fc\u30e9\u30f3\u30cb\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0<br>*\u4e2d\u5712 \u5eb7\u80561\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u5927\u5b66\u9662) DEIM2026<\/li>\n\n\n\n<li>\u30ea\u30b9\u30af\u30a2\u30a6\u30a7\u30a2\u682a\u5f0f\u53d6\u5f15\u306e\u305f\u3081\u306e\u591a\u7c92\u5ea6\u30fb\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u5f37\u5316\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u95a2\u3059\u308b\u7814\u7a76<br>*\u798f\u7530 \u4eac\u53f81\u3001\u99ac \u5f371\u3001Yang Zhang2 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u30012. Southwestern University of Finance and Economics) DEIM2026<\/li>\n\n\n\n<li>\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u8cea\u554f\u529b\u5411\u4e0a\u652f\u63f4\u30b7\u30b9\u30c6\u30e0<br>*\u4e95\u4e0a \u6642\u97f31\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66) DEIM2026<\/li>\n\n\n\n<li>Graph Token Control of Multi-Knowledge-Level LLM Agents for Peer Learning Systems<br>*\u55ac \u696d\u8efc1\u3001Liu Yun1\u3001Duan Yijun1\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66) DEIM2026<\/li>\n\n\n\n<li>SNS\u6295\u7a3f\u306b\u304a\u3051\u308b\u753b\u50cf\u30fc\u30c6\u30ad\u30b9\u30c8\u9593\u306e\u95a2\u9023\u6027\u5206\u6790 <br>\u934b\u5ca1 \u7422\u6e211\u3001\u6bb5 \u9038\u57472\u3001\u99ac \u5f372 (1. \u4eac\u90fd\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u5b66\u7814\u7a76\u79d1\u30012. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u5927\u5b66\u9662\u5de5\u82b8\u79d1\u5b66\u7814\u7a76\u79d1)<\/li>\n\n\n\n<li>\u5b89\u5fc3\u611f\u3068\u597d\u5947\u5fc3\u3092\u4e21\u7acb\u3059\u308b\u6599\u7406\u63a8\u85a6<br> \u5742\u4e95 \u512a\u65971\u3001\u99ac \u5f372 (1. \u4eac\u90fd\u5927\u5b66 \u5927\u5b66\u9662\u60c5\u5831\u5b66\u7814\u7a76\u79d1\u30012. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66 \u5927\u5b66\u9662\u5de5\u82b8\u79d1\u5b66\u7814\u7a76\u79d1)<\/li>\n\n\n\n<li>GET: \u8907\u6570LLM\u3092\u6d3b\u7528\u3057\u305f\u81ea\u5df1\u5b66\u7fd2\u652f\u63f4\u306e\u305f\u3081\u306e\u81ea\u52d5\u63a1\u70b9\u30b7\u30b9\u30c6\u30e0<br>\u4f0a\u85e4 \u512a\u5e0c1\u3001\u99ac \u5f372 (1. \u4eac\u90fd\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u5b66\u7814\u7a76\u79d1 \u793e\u4f1a\u60c5\u5831\u5b66\u30b3\u30fc\u30b9 \u4f0a\u85e4\u7814\u7a76\u5ba4\u30012. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u5927\u5b66\u9662\u5de5\u82b8\u79d1\u5b66\u7814\u7a76\u79d1)<\/li>\n\n\n\n<li>\u4f4e\u5c71\u767b\u5c71\u306b\u304a\u3051\u308b\u767b\u5c71\u8005\u306e\u884c\u52d5\u30e2\u30c7\u30ea\u30f3\u30b0\u3068\u9053\u8ff7\u3044\u691c\u51fa\u306e\u691c\u8a0e<br>\u4e95\u4e0a \u96c5\u66741\u3001\u7b20\u539f \u79c0\u4e002\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u793e\u4f1a\u77e5\u80fd\u60c5\u5831\u5b66\u7814\u7a76\u5ba4\u30012. \u5927\u962a\u6210\u8e4a\u5927\u5b66\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u5b66\u90e8)<\/li>\n\n\n\n<li>\u7570\u7a2e\u30c6\u30ad\u30b9\u30c8\u3092\u4f75\u7528\u3057\u305f\u30ea\u30b9\u30af\u5206\u6563\u6307\u5411\u306e\u682a\u5f0f\u53d6\u5f15\u652f\u63f4<br>\u798f\u7530 \u4eac\u53f81\u3001 Yang Zhang2\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u9662\u60c5\u5831\u5de5\u5b66\u5c02\u653b\u793e\u4f1a\u77e5\u80fd\u60c5\u5831\u7814\u7a76\u5ba4\u30012. Southwestern University of Finance and Economics)<\/li>\n\n\n\n<li>\u81ea\u5df1\u5b66\u7fd2\u652f\u63f4\u306b\u5411\u3051\u305fLLM\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u77e5\u8b58\u30ec\u30d9\u30eb\u306e\u5236\u5fa1\u624b\u6cd5<br>\u4e2d\u5712 \u5eb7\u80561\u3001\u6bb5 \u9038\u57471\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u5927\u5b66\u9662\u793e\u4f1a\u77e5\u80fd\u60c5\u5831\u5b66\u7814\u7a76\u5ba4)<\/li>\n\n\n\n<li>\u81ea\u5df1\u6ce8\u610f\u6a5f\u69cb\u306b\u57fa\u3065\u304f\u9078\u629e\u306b\u3088\u308b\u8907\u6570\u8208\u5473\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u591a\u69d8\u6027\u6307\u5411\u97f3\u697d\u63a8\u85a6<br>\u5ee3\u6fa4 \u51db\u592a\u90ce1\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u5927\u5b66\u9662 \u793e\u4f1a\u77e5\u80fd\u60c5\u5831\u5b66\u7814\u7a76\u5ba4)<\/li>\n\n\n\n<li>Edge Classification on Imbalanced Multi-relational Graphs<br>GONG ZHAOJIE1\u3001DUAN YIJUN1\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u793e\u4f1a\u77e5\u80fd\u60c5\u5831\u5b66\u7814\u7a76\u5ba4)<\/li>\n\n\n\n<li>\u604b\u611b\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30b2\u30fc\u30e0\u306b\u304a\u3051\u308b\u4f1a\u8a71\u96e3\u6613\u5ea6\u8abf\u6574\u624b\u6cd5\u89d2\u7530 \u60a0\u4e4b\u4ecb1\u3001\u4e2d\u5712 \u5eb7\u80561\u3001\u99ac \u5f371 (1. \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66\u793e\u4f1a\u77e5\u80fd\u60c5\u5831\u5b66\u7814\u7a76\u5ba4)<\/li>\n\n\n\n<li>\u7b20\u539f\u79c0\u4e00\uff0c\u5e73\u91ce\u7460\u767b, \u99ac \u5f37, \u4f4e\u5c71\u767b\u5c71\u8005\u306e\u9053\u8ff7\u3044\u691c\u51fa\u624b\u6cd5\u306e\u8003\u5bdf, \u89b3\u5149\u60c5\u5831\u5b66\u4f1a\u7b2c24\u56de\u7814\u7a76\u4f1a\uff0cpp.45--48<\/li>\n\n\n\n<li>\u5742\u4e95\u512a\u6597, \u99ac \u5f37, \u597d\u5947\u5fc3\u3068\u5b89\u5fc3\u611f\u3092\u4e21\u7acb\u3059\u308b\u6599\u7406\u63a8\u85a6, DEIM2023 3b-2-1<\/li>\n\n\n\n<li>\u4f0a\u85e4\u512a\u5e0c, \u99ac \u5f37, \u53d7\u5bb9\u6027\u3092\u8003\u616e\u3057\u305f\u591a\u69d8\u306a\u610f\u898b\u306e\u691c\u7d22\u624b\u6cd5, DEIM2023 3a-9-4<\/li>\n\n\n\n<li><em>\u934b\u5ca1\u7422\u6e21, \u99ac \u5f37, \u753b\u50cf\u4ed8\u304dSNS\u6295\u7a3f\u306b\u304a\u3051\u308b\u753b\u50cf\u30fc\u30c6\u30ad\u30b9\u30c8\u9593\u306e\u76f8\u4e92\u95a2\u4fc2\u5206\u6790, DEIM2024 T3-A-1-01 <\/em><\/li>\n\n\n\n<li>\u4f0a\u85e4\u512a\u5e0c, \u99ac \u5f37, \u751f\u6210AI\u3092\u5229\u7528\u3057\u305f\u81ea\u5df1\u5b66\u7fd2\u652f\u63f4, DEIM2024 T1-B-5-01<\/li>\n\n\n\n<li><em> \u7530\u4e2d\u5bdb\u4e4b\uff0c\u99ac \u5f37\uff0c\u79fb\u52d5\u624b\u6bb5\u306e\u6df7\u96d1\u3092\u8003\u616e\u3057\u305f\u89b3\u5149\u30eb\u30fc\u30c8\u30d7\u30e9\u30f3\u30cb\u30f3\u30b0\uff0c<\/em><\/li>\n\n\n\n<li><em>\u82b1\u7551\u69d9\u54c9\uff0c\u8a31 \u30ec\u30a4\uff0c\u99ac \u5f37\uff0cYouTube\u52d5\u753b\u306e\u8996\u8074\u72b6\u6cc1\u306e\u4e88\u6e2c\uff0cDEIM2024 T5-B-5-03 <\/em><\/li>\n\n\n\n<li><em>\u5ee3\u6fa4\u51dc\u592a\u90ce\uff0c\u99ac \u5f37\uff0c\u500b\u4eba\u5316\u30ec\u30d9\u30eb\u306e\u30e1\u30ea\u30cf\u30ea\u3092\u8003\u616e\u3057\u305f\u89b3\u5149\u30eb\u30fc\u30c8\u30d7\u30e9\u30f3\u30cb\u30f3\u30b0\uff0cDEIM2024 T5-B-5-05<\/em><\/li>\n\n\n\n<li>\u798f\u7530\u4eac\u53f8\uff0c\u99ac \u5f37\uff0c\u4e2d\u9577\u671f\u7684\u5f71\u97ff\u3092\u8003\u616e\u3057\u305f\u682a\u5f0f\u53d6\u5f15\u652f\u63f4\uff0cDEIM2024 T5-A-8-03<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>(A) \u67fb\u8aad\u4ed8\u5b66\u8853\u8ad6\u6587 (B) \u67fb\u8aad\u4ed8\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587 (C) \u56fd\u5185\u5b66\u4f1a\u8ad6\u6587(\u67fb\u8aad\u306a\u3057)<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"ja","_original_post":"https:\/\/www.soc.is.kit.ac.jp\/?page_id=70","vkexunit_cta_each_option":"","footnotes":""},"class_list":["post-70","page","type-page","status-publish","hentry","ja"],"_links":{"self":[{"href":"https:\/\/www.soc.is.kit.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/70","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.soc.is.kit.ac.jp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.soc.is.kit.ac.jp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.soc.is.kit.ac.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.soc.is.kit.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=70"}],"version-history":[{"count":25,"href":"https:\/\/www.soc.is.kit.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/70\/revisions"}],"predecessor-version":[{"id":572,"href":"https:\/\/www.soc.is.kit.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/70\/revisions\/572"}],"wp:attachment":[{"href":"https:\/\/www.soc.is.kit.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=70"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}