End-to-End Text Classification via Image-based Embedding using Character-level Networks. - Shunsuke Kitada; Ryunosuke Kotani; Hitoshi Iyatomi (AIPR, 2018)

Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. - Shunsuke Kitada; Hitoshi Iyatomi (CoRR, 2018)

Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. - Shunsuke Kitada; Hitoshi Iyatomi; Yoshifumi Seki (KDD, 2019)

Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. - Shunsuke Kitada; Hitoshi Iyatomi; Yoshifumi Seki (CoRR, 2019)

AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss. - Mahmoud Daif; Shunsuke Kitada; Hitoshi Iyatomi (ACL (student), 2020)

Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. - Takumi Aoki; Shunsuke Kitada; Hitoshi Iyatomi (AACL/IJCNLP (Student Research Workshop), 2020)

Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training. - Shunsuke Kitada; Hitoshi Iyatomi (IEEE Access, 2021)

Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification. - Shunsuke Kitada; Hitoshi Iyatomi (CoRR, 2021)

Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. - Tsubasa Nakagawa; Shunsuke Kitada; Hitoshi Iyatomi (CIKM, 2022)

DM2S2: Deep Multimodal Sequence Sets With Hierarchical Modality Attention. - Shunsuke Kitada; Yuki Iwazaki; Riku Togashi; Hitoshi Iyatomi (IEEE Access, 2022)

Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks. - Shunsuke Kitada; Hitoshi Iyatomi; Yoshifumi Seki (CoRR, 2022)

DM2S2: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention. - Shunsuke Kitada; Yuki Iwazaki; Riku Togashi; Hitoshi Iyatomi (CoRR, 2022)

Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired. - Kazuya Ohata; Shunsuke Kitada; Hitoshi Iyatomi (CoRR, 2022)

Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives. - Shunsuke Kitada (CoRR, 2023)

Making attention mechanisms more robust and interpretable with virtual adversarial training. - Shunsuke Kitada; Hitoshi Iyatomi (Appl. Intell., 2023)

Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model. - Shoma Iwai; Atsuki Osanai; Shunsuke Kitada; Shinichiro Omachi (ECCV (34), 2024)

VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction. - Jiahao Zhang; Ryota Yoshihashi; Shunsuke Kitada; Atsuki Osanai; Yuta Nakashima (CoRR, 2024)

Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition. - Sota Nemoto; Shunsuke Kitada; Hitoshi Iyatomi (IEEE Access, 2025)

SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers. - Takuro Kawada; Shunsuke Kitada; Sota Nemoto; Hitoshi Iyatomi (CoRR, 2025)