Revisiting amino acid substitution matrices for identifying distantly related proteins. - Kazunori D. Yamada; Kentaro Tomii (Bioinform., 2014)

PoSSuM v.2.0: data update and a new function for investigating ligand analogs and target proteins of small-molecule drugs. - Jun-Ichi Ito; Kazuyoshi Ikeda; Kazunori D. Yamada; Kenji Mizuguchi; Kentaro Tomii (Nucleic Acids Res., 2015)

Application of the MAFFT sequence alignment program to large data - reexamination of the usefulness of chained guide trees. - Kazunori D. Yamada; Kentaro Tomii; Kazutaka Katoh (Bioinform., 2016)

Identification of the sequence determinants of protein N-terminal acetylation through a decision tree approach. - Kazunori D. Yamada; Satoshi Omori; Hafumi Nishi; Masaru Miyagi (BMC Bioinform., 2017)

Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network. - Kazunori D. Yamada (CoRR, 2017)

Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment. - Kazunori D. Yamada (Algorithms Mol. Biol., 2018)

Parallelization of MAFFT for large-scale multiple sequence alignments. - Tsukasa Nakamura; Kazunori D. Yamada; Kentaro Tomii; Kazutaka Katoh (Bioinform., 2018)

De novo profile generation based on sequence context specificity with the long short-term memory network. - Kazunori D. Yamada; Kengo Kinoshita (BMC Bioinform., 2018)

MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. - Kazutaka Katoh; John Rozewicki; Kazunori D. Yamada (Briefings Bioinform., 2019)

Relation is an option for processing context information. - Kazunori D. Yamada; M. Samy Baladram; Fangzhou Lin (Frontiers Artif. Intell., 2022)

Cosmos Propagation Network: Deep learning model for point cloud completion. - Fangzhou Lin; Yajun Xu; Ziming Zhang; Chenyang Gao; Kazunori D. Yamada (Neurocomputing, 2022)

An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images. - Fangzhou Lin; Chenyang Gao; Kazunori D. Yamada (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperbolic Chamfer Distance for Point Cloud Completion. - Fangzhou Lin; Yun Yue; Songlin Hou; Xuechu Yu; Yajun Xu; Kazunori D. Yamada; Ziming Zhang (ICCV, 2023)

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. - Fangzhou Lin; Yun Yue; Ziming Zhang; Songlin Hou; Kazunori D. Yamada; Vijaya B. Kolachalama; Venkatesh Saligrama (NeurIPS, 2023)

Hyperbolic Contrastive Learning. - Yun Yue; Fangzhou Lin; Kazunori D. Yamada; Ziming Zhang (CoRR, 2023)

Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance. - Fangzhou Lin; Haotian Liu; Haoying Zhou; Songlin Hou; Kazunori D. Yamada; Gregory S. Fischer; Yanhua Li; Haichong K. Zhang; Ziming Zhang (IROS, 2024)

Procedural Content Generation via Generative Artificial Intelligence. - Xinyu Mao; Wanli Yu; Kazunori D. Yamada; Michael R. Zielewski (CoRR, 2024)

Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment. - Kazunori D. Yamada (CoRR, 2024)

Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond. - Fangzhou Lin; Songlin Hou; Haotian Liu; Shang Gao; Kazunori D. Yamada; Haichong K. Zhang; Ziming Zhang (CoRR, 2024)

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching. - Ziming Zhang; Fangzhou Lin; Haotian Liu; Jose Morales; Haichong Zhang; Kazunori D. Yamada; Vijaya B. Kolachalama; Venkatesh Saligrama (ICLR, 2025)

A Language Anchor-Guided Method for Robust Noisy Domain Generalization. - Zilin Dai; Lehong Wang; Fangzhou Lin; Yidong Wang; Zhigang Li; Kazunori D. Yamada; Ziming Zhang; Wang Lu (CoRR, 2025)

Constitutive Components for Human-Like Autonomous Artificial Intelligence. - Kazunori D. Yamada (CoRR, 2025)

A Strong View-Free Baseline Approach for Single-View Image Guided Point Cloud Completion. - Fangzhou Lin; Zilin Dai; Rigved Sanku; Songlin Hou; Kazunori D. Yamada; Haichong K. Zhang; Ziming Zhang (CoRR, 2025)

KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting? - Lingyu Jiang; Yuping Wang; Yao Su 003; Shuo Xing; Wenjing Chen; Xin Zhang; Zhengzhong Tu; Ziming Zhang; Fangzhou Lin; Michael R. Zielewski; Kazunori D. Yamada (CoRR, 2025)