Shigetome K, Egarashi T, Tomita T, Higa N, Iwashita K, Morita K, Nishimura M, Kankeko T, Maeda H, Yamada KD, Kajiwara-Morita A, Oniki K, Yasui-Furukori N, Saruwatari J, Effect of Cumulative Exposure on the Efficacy of Paroxetine: a Population Pharmacokinetic-pharmacodynamic and Machine Learning Analyses, Pharmacometrics and Systems Pharmacology, 2025
Okano Y, Shirota M, Kinoshita K, Predicting and Classifying First Reports of Adverse Drug Events in Bio-medical Literature based on Authors' Arguments, Interdisciplinary Information Sciences, 2025
Hou S, Lin F, Huang Y, Peng Z, Xiao B, Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation, Interdisciplinary Information Sciences, 2025
Zhang Z, Shao Y, Zhang Y, Lin F, Zhang H, Rundensteiner E, Deep Loss Convexification for Learning Iterative Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Kubota A, Kodate S, Li Y, Lin F, Fukuda H, Baladram MS, Yamada KD, Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment, Interdisciplinary Information Sciences, 2024
Nagase Y, Satoh T, Shigetome K, Tokumaru N, Matsumoto E, Yamada KD, Imafuku T, Watanabe H, Maruyama T, Ogata Y, Yoshida M, Saruwatari J, Oniki K, Serum Fatty Acid Composition Balance by Fuzzy c-means Method in Individuals with or without Metabolic Dysfunction-associated Fatty Liver Disease, Nutrients, 15(4):809, 2023
Yamada KD, Baladram MS, Lin F, Relation is an Option for Processing Context Information, Frontiers in Artificial Intelligence, 2022
Yasukawa K, Yamada K, Tokuda H, Koyama S, Utsumi H, Redox imaging of dextran sodium sulfate-induced colitis mice treated with nitric oxide synthase inhibitors, Advances in Redox Research, 6, 2022
Lin F, Xu Y, Zhang Z, Gao C, Yamada KD, Cosmos Propagation Network: Deep Learning Model for Point Cloud Completion, Neurocomputing, 2022
会議論文
Lin F, Liu H, Zhang Z, Morales J, Zhang HK, Yamada KD, Kolachalama V, Saligrama V, GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching, International Conference on Learning Representations, 2025
Lin F, Liu H, Zhou H, Hou S, Yamada KD, Fischer GS, Li Y, Zhang H, Zhang Z, Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Xia T, Su Q, KGN-Optimized Generative Adversarial Networks, IEEE International Conference on Robotics and Computer Vision, 2024
Xia T, Su Q, Enhancing Training Stability in Generative Adversarial Networks via Penalty Gradient Normalization, IEEE Conference on Systems, Man, And Cybernetics, 2024
Xia T, Liu L, LSN-GAN: A Novel Least Square Gradient Normalization for Generative Adversarial Networks, IEEE International Conference on Software Engineering and Artificial Intelligence, 2024
Maas A, Yamada KD, Nagahama T, Kawada T, Horita T, Question Generation for English Reading Comprehension Exercises using Transformers, Letters on Informatics and Interdisciplinary Research, 2024
Yue Y, Lin F, Guanyi M, Zhang Z, Understanding Hyperbolic Metric Learning through Hard Negative Sampling, Winter Conference on Applications of Computer Vision, 2023
Lin F, Yue Y, Zhang Z, Hou S, Yamada KD, Kolachalama VB, Saligrama V, InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion, Advances in Neural Information Processing Systems, 2023
Lin F, Yue Y, Hou S, Yu X, Xu Y, Yamada KD, Zhang Z, Hyperbolic Chamfer Distance for Point Cloud Completion, International Conference on Computer Vision, 2023
Maas A, Kawada T, Yamada K, Nagahama T, Horita T, Identifying Latent Traits of Questions for Controllable Machine Generation, EdMedia + Innovate Learning, 2022
受賞
Kikuchi Y, NITC Prize, SPARK!TOHOKU2024 Startup Pitch, 2024
Lin F, The 27th Doctoral Student Presentation Best Presentation Award, Tohoku University, 2022