2025 Suzuki Laboratory Publications
Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University

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• Tetsu Matsukawa, Ryosuke Miyake, Einoshin Suzuki: "Object Attention for Image Generation from Hyper Scene Graphs with Trinomial Hyperedges", Communications in Computer and Information Science (post-publication issue of VISAPP 2024, accepted for publication). DOI ?
• Qiming Zou, Einoshin Suzuki: Compact Goal Representation Learning via Information Bottleneck in Goal-Conditioned Reinforcement Learning, IEEE Transactions on Neural Networks and Learning Systems, Vol. 36, No. 2, pp. 2368-2381, February 2025. DOI 10.1109/TNNLS.2023.3344880
• Jose Alejandro Avellaneda Gonzalez, Tetsu Matsukawa, Einoshin Suzuki: Detecting Anomalies in Human Monitoring Based on Multimodal Multiview Self-Supervised Learning, Machine Vision and Applications Journal, Vol. 36, No. 3, Article 62, May 2025. DOI 10.1007/s00138-025-01683-y
• Miao Li, Einoshin Suzuki: "Leveraging Personalized Item-Level Co-Occurrence Neighborhoods for Within-Basket Recommendation", Proc. 17th International Conference on Machine Learning and Computing (ICMLC 2025), Vol. 1, pp. 323-335, LNNS 1475, Springer, Guangzhou, China, February (conference), September (publication), 2025, DOI 10.1007/978-3-031-94892-3_24
• Jose Alejandro Avellaneda Gonzalez, Tetsu Matsukawa, Einoshin Suzuki: "Leveraging Vision Language Models for Understanding and Detecting Violence in Videos", Proc. Twentieth International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2025), Vol. 2: VISAPP (Twentieth International Conference on Computer Vision Theory and Applications), pp. 99-113, Porto, February 2025, DOI 10.5220/0013160000003912
• Genta Nishi, Einoshin Suzuki: "Enhancing the Performance of Spoiler Review Detection by a LLM with Hints", Proc. First Workshop on Comparative Performance Evaluation: From Rules to Language Models associated with RANLP 2025 (R2LM 2025), pp. 97-112, Varna, Bulgaria, September 2025. DOI 10.26615/978-954-452-102-8-011
• Taro Higuchi, Einoshin Suzuki: "Complete Categorization of Instinct-Exploiting Data-Explanations and their Generation with Large-Language Models", Proc. Eighth AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025), pp. 1255-1265, Madrid, October 2025. DOI https://doi.org/10.1609/aies.v8i2.36627

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Last Updated: Mon Jan 19 16:25:48 JST 2026