Please see also dblp
Hyunsik Jeon, Satoshi Koide, Yu Wang, Julian McAuley, LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation, ACM International Conference on Knowledge Discovery and Datamining (KDD), 2025
Ayano Okoso, Keisuke Otaki, Satoshi Koide, Yukino Baba, Impact of tone-aware explanations in recommender systems, ACM Transaction on Recommender Systems (ACM TORS), 2025.
Satoshi Koide, Ayano Okoso, High-dimensional Slider-based Preferential Bayesian Optimization with Mixed Local and Global Acquisition Strategies, IEEE Access, 2024
Ayano Okoso, Keisuke Otaki, Satoshi Koide, Yukino Baba, Impact of Tone-aware Explanations in Recommender Systems, ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2024 [arxiv]
Yasushi Esaki, Satoshi Koide, Takuro Kutsuna, One-Shot Domain Incremental Learning, International Joint Conference on Neural Networks (IJCNN), 2024 [arxiv]
Keisuke Kawano, Satoshi Koide, Hiroaki Shiokawa, Toshiyuki Amagasa, Multi-dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs, IEICE Transactions, 2024 [web page]
Ayano Okoso, Keisuke Otaki, Yoshinao Ishii, Satoshi Koide, A Case Study on Recommender Systems in Online Conferences: Behavioral Analysis Through A/B Testing, IEICE Transactions, 2024 [web page]
Shun Taguchi, Satoshi Koide, Kazuki Shibata, Hideki Deguchi, Reward for Exploration based on View Synthesis, IEEE Access, 2023 [web page]
Hideki Deguchi, Shun Taguchi, Kazuki Shibata, Satoshi Koide, Enhanced Robot Navigation with Human Geometric Instruction, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 [web page]
Norihiro Oyama, Noriko N. Ishizaki, Satoshi Koide, Hiroaki Yoshida, Deep generative model super-resolves spatially correlated multiregional climate data, Scientific Report (SciRep), 2023 (Article number: 5992) [web page]
Hideki Deguchi, Shun Taguchi, Kazuki Shibata, Satoshi Koide, Enhancement of Robot Navigation Systems via Human Pointing Instruction, 22th IFAC World Congress, 2023 [web page]
Kazuki Shibata, Hideki Deguchi, Shun Taguchi, Yuji Ito, Satoshi Koide, Collision-free Navigation with Unknown and Heterogeneous Social Preferences, 22th IFAC World Congress, 2023 [web page]
Tatsuya Miyano, Yuji Ito, Daisuke Inoue, Satoshi Koide, Takeshi Hatanaka, Stability Analysis of Logit Dynamics with Committed Minority and Internal/External Conformity Biases, 22th IFAC World Congress, 2023 [web page]
Ryoko Tokuhisa, Keisuke Kawano, Akihiro Nakamura, Satoshi Koide, Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs, International Conference on Computational Linguistics (COLING), 2022 (oral) [web page]
Ayano Okoso, Keisuke Otaki, Satoshi Koide, Tomoki Nishi, High Density Automated Valet Parking via Multi-Agent Path Finding, International Conference on Intelligent Transportation Systems (ITSC), 2022 [web page]
Ruho Kondo, Yuki Sato, Satoshi Koide, Seiji Kajita, and Hideki Takamatsu, Computationally Efficient Quamtum Expectation with Extended Bell Measurements, Quantum, 2022 [web page]
Yoshinao Ishii, Keiichiro Hayakawa, Satoshi Koide, Makoto Chikaraishi, Entropy Tucker Model: Mining Latent Mobility Patterns with Simultaneous Estimation of Travel Impedance Parameters, Transportation Research Part C, Emerging Technology (Transp. Res. Part C Emerg. Technol.), 2022 [web page]
Keisuke Kawano, Satoshi Koide, and Keisuke Otaki, Partial Wasserstein Covering, 36th AAAI Conference on Artificial Intelligence (AAAI), 2022 [arxiv]
Yuki Sato, Ruho Kondo, Satoshi Koide, Hideki Takamatsu, and Nobuyuki Imoto, Variational quantum algorithm based on the minimum potential energy for solving the Poisson equation, Physical Review A (Phys. Rev. A), Vol 4, Issue 5, 2021 [web page]
Noriaki Hirose, Shun Taguchi, Keisuke Kawano, Satoshi Koide, Variational Monocular Depth Estimation for Reliability Prediction, International Conference on 3D Vision (3DV), 2021 [web page]
Satoshi Koide, Keisuke Kawano, Akihiro Nakamura, Takuro Kutsuna, Naoki Mitsumoto, Finding Misdetections in Unlabeled Image Database: Toward Reliable Object Detection, International Conference on Intelligent Transportation Systems (ITSC), 2021 [web page]
Yoshinao Ishii, Satoshi Koide, Kei-ichiro Hayakawa, Learning Low-dimensional Manifolds under the L0-norm Constraint for Unsupervised Outlier Detection, Journal of Data Science and Analytics (JDSA), 2021 [web page]
Noriaki Hirose, Satoshi Koide, Keisuke Kawano, Ruho Kondo, PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation, International Conference on Robotics and Automation (ICRA), 2021 [arxiv]
Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi, Distance-based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents, International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), 2020 [web page]
Keisuke Kawano, Satoshi Koide, Takuro Kutsuna, Learning Wasserstein Isometric Embedding for Point Clouds, International Conference on 3D Vision (3DV), 2020 [web page]
Satoshi Koide, Chuan Xiao, Yoshiharu Ishikawa, Fast Subtrajectory Similarity Search for Trajectories in Road Networks under Weighted Edit Distance Constraints, Proc. VLDB Endow. (PVLDB), 2020 [pdf] [extended ver. (arxiv)]
Keisuke Kawano, Takuro Kutsuna, Satoshi Koide, Neural Time Warping for Multiple Sequence Alignment, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 [web page] [arxiv]
Yoshinao Ishii, Satoshi Koide, Kei-ichiro Hayakawa, L0-norm Constrained Autoencoders for Unsupervised Outlier Detection, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020 [web page]
Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi, Cooperative Path Planning for Heterogeneous Agents, International Symposium on Combinatorial Search (SoCS), 2020
Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna, Flow-based Image-to-Image Translation with Feature Disentanglement, Neural Information Processing Systems (NeurIPS), 2019 [pdf]
Keisuke Kawano, Satoshi Koide, Takuro Kutsuna, Canonical Soft Time Warping, Asian Conference on Machine Learning (ACML), 2019 [web page] [pdf]
Keisuke Otaki, Satoshi Koide, Keiichiro Hayakawa, Ayano Okoso, Tomoki Nishi, Multi-Agent Path Planning with Heterogeneous Cooperation, IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019 [web page]
Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi, Cooperative Routing with Heterogeneous Vehicles, International Conference On Autonomous Agents and Multi-Agent Systems (AAMAS), 2019 (extended abstract) [pdf]
Keisuke Kawano, Satoshi Koide, Chie Imamura, Seq2seq Fingerprint with Byte-Pair Encoding for Predicting Changes in Protein Stability upon Single Point Mutation, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2019 [web page]
Robert Waury, Christian S. Jensen, Satoshi Koide, Yoshiharu Ishikawa, Chuan Xiao, Indexing Trajectories for Travel-Time Histogram Retrieval, International Conference on Extending Database Technology (EDBT), 2019 [pdf]
Satoshi Koide, Yukihiro Tadokoro, Takayoshi Yoshimura, Chuan Xiao, Yoshiharu Ishikawa, Enhanced Indexing and Querying of Trajectories in Road Networks via String Algorithms, ACM Transactions on Spatial Algorithms and Systems (TSAS), 2018 [web page]
Shun Taguchi, Satoshi Koide, Takayoshi Yoshimura, Online Map Matching with Route Prediction, IEEE Trans. ITS, 2018 [web page]
Satoshi Koide, Keisuke Kawano, Takuro Kutsuna, Neural Edit Operations for Biological Sequences, Neural Information Processing Systems (NeurIPS), 2018 [pdf]
Satoshi Koide, Yukihiro Tadokoro, Chuan Xiao, Yoshiharu Ishikawa, CiNCT: Compression and retrieval for massive vehicular trajectories via relative movement labeling, International Conference on Data Engineering (ICDE), 2018 [web page] [arxiv]
Satoshi Koide, Yukihiro Tadokoro, Takayoshi Yoshimura, SNT-index: Spatio-temporal index for vehicular trajectories on a road network based on substring matching, ACM SIGSPATIAL Workshop (UrbanGIS), 2015 [web page]
Satoshi Koide, Daisuke Furihata, Nonlinear and linear conservative finite difference schemes for regularized long wave equation, Japan Journal of Industrial and Applied Mathematics (JJIAM), 26 (1), 2009 [web page]
大社,大滝,小出,西, 相乗りのための将来需要を考慮した経路最適化, 情報処理学会論文誌, 2020 [cinii] ; (備考: 特選論文に選出 → 2020年度 論文賞 受賞)
小出,肖,石川, 道路ネットワーク上の軌跡データに対する圧縮索引, 電子情報通信学会論文誌 D, 2020 [web page] (備考: 2020年度 論文賞 受賞)
(Preprents)
Yuki Sato, Ruho Kondo, Satoshi Koide, Hideki Takamatsu, Nobuyuki Imoto, A variational quantum algorithm based on the minimum potential energy for solving the Poisson equation, 2021 [arxiv]
Keisuke Kawano, Satoshi Koide, Keisuke Otaki, Partial Wasserstein Covering, 2021 [arxiv]
Noriaki Hirose, Shun Taguchi, Keisuke Kawano, Satoshi Koide, Variational Monocular Depth Estimation for Reliability Prediction, 2020 [arxiv]