Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding. - Ryotaro Shimizu; Masanari Kimura; Masayuki Goto (CoRR, 2022)

Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (CoRR, 2022)

An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information. - Ryotaro Shimizu; Megumi Matsutani; Masayuki Goto (Knowl. Based Syst., 2022)

Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (CVPR Workshops, 2023)

Fashion intelligence system: An outfit interpretation utilizing images and rich abstract tags. - Ryotaro Shimizu; Yuki Saito 002; Megumi Matsutani; Masayuki Goto (Expert Syst. Appl., 2023)

Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (Knowl. Based Syst., 2023)

An Empirical Analysis of GPT-4V's Performance on Fashion Aesthetic Evaluation. - Yuki Hirakawa; Takashi Wada 001; Kazuya Morishita; Ryotaro Shimizu; Takuya Furusawa; Sai Htaung Kham; Yuki Saito 002 (SIGGRAPH Asia Technical Communications, 2024)

On permutation-invariant neural networks. - Masanari Kimura; Ryotaro Shimizu; Yuki Hirakawa; Ryosuke Goto; Yuki Saito 002 (CoRR, 2024)

Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. - Yuya Yoshikawa; Masanari Kimura; Ryotaro Shimizu; Yuki Saito 002 (CoRR, 2024)

A Fashion Item Recommendation Model in Hyperbolic Space. - Ryotaro Shimizu; Yu Wang 170; Masanari Kimura; Yuki Hirakawa; Takashi Wada 001; Yuki Saito 002; Julian J. McAuley (CoRR, 2024)

LARE: Latent Augmentation using Regional Embedding with Vision-Language Model. - Kosuke Sakurai; Tatsuya Ishii; Ryotaro Shimizu; Linxin Song; Masayuki Goto (CoRR, 2024)

Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training. - Shijian Wang; Linxin Song; Jieyu Zhang; Ryotaro Shimizu; Ao Luo; Li Yao; Cunjian Chen; Julian J. McAuley; Hanqian Wu (CoRR, 2024)

Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement. - Kotaro Yoshida; Yuji Naraki; Takafumi Horie; Ryosuke Yamaki; Ryotaro Shimizu; Yuki Saito 002; Julian J. McAuley; Hiroki Naganuma (ICLR, 2025)

Fashionability-Enhancing Outfit Image Editing with Conditional Diffusion Models. - Qice Qin; Yuki Hirakawa; Ryotaro Shimizu; Takuya Furusawa; Edgar Simo-Serra (WACV (Workshops), 2025)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. - Ryotaro Shimizu; Takashi Wada 001; Yu Wang 170; Johannes Kruse 002; Sean O'Brien; Sai Htaung Kham; Linxin Song; Yuya Yoshikawa; Yuki Saito 002; Fugee Tsung; Masayuki Goto; Julian J. McAuley (WWW, 2025)

LLMOverTab: Tabular data augmentation with language model-driven oversampling. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Expert Syst. Appl., 2025)

Generating realistic synthetic tabular data with integrated LLM and diffusion models. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Neurocomputing, 2025)

Sparse attention is all you need for pre-training on tabular data. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Neural Comput. Appl., 2025)

Vision and Language Reference Prompt into SAM for Few-shot Segmentation. - Kosuke Sakurai; Ryotaro Shimizu; Masayuki Goto (CoRR, 2025)

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base. - Linxin Song; Xuwei Ding; Jieyu Zhang 001; Taiwei Shi; Ryotaro Shimizu; Rahul Gupta; Yang Liu 084; Jian Kang; Jieyu Zhao 001 (CoRR, 2025)

Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification. - Shijian Wang; Linxin Song; Ryotaro Shimizu; Masayuki Goto; Hanqian Wu (CoRR, 2025)

Masked Language Prompting for Generative Data Augmentation in Few-shot Fashion Style Recognition. - Yuki Hirakawa; Ryotaro Shimizu (CoRR, 2025)

On Fairness of Task Arithmetic: The Role of Task Vectors. - Hiroki Naganuma; Kotaro Yoshida; Laura Gomezjurado Gonzalez; Takafumi Horie; Yuji Naraki; Ryotaro Shimizu (CoRR, 2025)

Static Word Embeddings for Sentence Semantic Representation. - Takashi Wada 001; Yuki Hirakawa; Ryotaro Shimizu; Takahiro Kawashima; Yuki Saito 002 (CoRR, 2025)

Transferring Visual Explainability of Self-Explaining Models through Task Arithmetic. - Yuya Yoshikawa; Ryotaro Shimizu; Takahiro Kawashima; Yuki Saito 002 (CoRR, 2025)

DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging. - Kotaro Yoshida; Yuji Naraki; Takafumi Horie; Ryotaro Shimizu; Hiroki Naganuma (CoRR, 2025)