Journal Papers

  1. Yamada KD, Baladram MS, Lin F, Relation is an Option for Processing Context Information, Frontiers in Artificial Intelligence, 2022
  2. Lin F, Xu Y, Zhang Z, Gao C, Yamada KD, Cosmos Propagation Network: Deep Learning Model for Point Cloud Completion, Neurocomputing, 2022

Conference Papers

  1. Xia T, Su Q, Enhancing Training Stability in Generative Adversarial Networks via Penalty Gradient Normalization, IEEE Conference on Systems, Man, And Cybernetics, 2024
  2. 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
  3. 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
  4. Yue Y, Lin F, Guanyi M, Zhang Z, Understanding Hyperbolic Metric Learning through Hard Negative Sampling, Winter Conference on Applications of Computer Vision, 2023
  5. 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
  6. 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
  7. Maas A, Kawada T, Yamada K, Nagahama T, Horita T, Identifying Latent Traits of Questions for Controllable Machine Generation, EdMedia + Innovate Learning, 2022