| 2026 | ACL | MAPLE: Multi-Aspect Panels of LLM Evaluators for Open-Ended Questions. | Michinori Jinji, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima |
| 2026 | AIED | Estimating Learners' Skill Acquisition Without Temporal Information. | Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi, Jill-Jnn Vie, Hisashi Kashima |
| 2026 | ICPR | Privacy-Preserving Image Annotation by Large Multimodal Models. | Yuki Wakai, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima |
| 2026 | LAK | Robust Post-hoc Score Allocation in Exams. | Naoyuki Kita, Jill-Jnn Vie, Koh Takeuchi, Hisashi Kashima |
| 2026 | PAKDD | Hybrid Time Series Diffusion Model and Conformal Prediction for Incomplete Time Series. | Ryu Shirakami, Shunsuke Hirose, Koh Takeuchi |
| 2025 | ADMA | Neural Double Auction Mechanism. | Tsuyoshi Suehara, Koh Takeuchi, Hisashi Kashima, Satoshi Oyama, Yuko Sakurai, Makoto Yokoo |
| 2025 | ECAI | Learning Neural Strategy-Proof Matching Mechanism from Examples. | Ryota Maruo, Koh Takeuchi, Hisashi Kashima |
| 2025 | IJCNLP | Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems. | Lijia Liu, Takumi Kondo, Kyohei Atarashi, Koh Takeuchi, Jiyi Li, Shigeru Saito, Hisashi Kashima |
| 2025 | SAC | Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments. | Yasuaki Sumita, Koh Takeuchi, Hisashi Kashima |
| 2024 | COLING | Evaluating Saliency Explanations in NLP by Crowdsourcing. | Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima |
| 2024 | EMNLP | AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. | Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima |
| 2024 | PAKDD | Recovering Population Dynamics from a Single Point Cloud Snapshot. | Yuki Wakai, Koh Takeuchi, Hisashi Kashima |
| 2024 | WWW | Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways. | Yohei Kodama, Yuki Akeyama, Yusuke Miyazaki, Koh Takeuchi |
| 2023 | AIES | Mitigating Voter Attribute Bias for Fair Opinion Aggregation. | Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima |
| 2023 | KDD | QTNet: Theory-based Queue Length Prediction for Urban Traffic. | Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima |
| 2023 | KDD | Causal Effect Estimation on Hierarchical Spatial Graph Data. | Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi |
| 2023 | WWW | Multiview Representation Learning from Crowdsourced Triplet Comparisons. | Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima |
| 2022 | AAAI | Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. | Sein Minn, Jill-Jnn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu |
| 2022 | ICPR | Mitigating Observation Biases in Crowdsourced Label Aggregation. | Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima |
| 2020 | DSAA | Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. | Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima |
| 2020 | ICML | Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. | Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima |
| 2019 | UAI | Variational Inference of Penalized Regression with Submodular Functions. | Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara |
| 2018 | AAAI | Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets. | Motoyuki Oki, Koh Takeuchi, Yukio Uematsu |
| 2018 | BMVC | Few-shot learning of neural networks from scratch by pseudo example optimization. | Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda |
| 2017 | AISTATS | Localized Lasso for High-Dimensional Regression. | Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski |
| 2017 | ICDM | Autoregressive Tensor Factorization for Spatio-Temporal Predictions. | Koh Takeuchi, Hisashi Kashima, Naonori Ueda |
| 2017 | IJCAI | SVD-Based Screening for the Graphical Lasso. | Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda |
| 2017 | SIGMOD | Scaling Locally Linear Embedding. | Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda |
| 2016 | Middleware | Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis. | Koh Takeuchi, Naonori Ueda |
| 2015 | AISTATS | Cross-domain recommendation without shared users or items by sharing latent vector distributions. | Tomoharu Iwata, Koh Takeuchi |
| 2013 | ICDM | Non-negative Multiple Tensor Factorization. | Koh Takeuchi, Ryota Tomioka, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada |
| 2013 | IJCAI | Non-Negative Multiple Matrix Factorization. | Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada |
| 2012 | ICDM | Towards Automatic Image Understanding and Mining via Social Curation. | Katsuhiko Ishiguro, Akisato Kimura, Koh Takeuchi |