Complexity Evaluation of Medical Image Data for Classification Problem Based on Spectral Clustering. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Soft-Label Anonymous Gastric X-Ray Image Distillation. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Triplet Self-Supervised Learning for Gastritis Detection with Scarce Annotations. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Cross-view Self-supervised Learning via Momentum Statistics in Batch Normalization. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2021)

Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Compressed gastric image generation based on soft-label dataset distillation for medical data sharing. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Comput. Methods Programs Biomed., 2022)

Dataset Distillation for Medical Dataset Sharing. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2022)

RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2022)

Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2022)

COVID-19 detection based on self-supervised transfer learning using chest X-ray images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Int. J. Comput. Assist. Radiol. Surg., 2023)

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Comput. Biol. Medicine, 2023)

Self-supervised learning for gastritis detection with gastric X-ray images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Int. J. Comput. Assist. Radiol. Surg., 2023)

Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Generative Dataset Distillation: Balancing Global Structure and Local Details. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CVPR Workshops, 2024)

RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ECCV Workshops (14), 2024)

Generative Dataset Distillation Based on Diffusion Model. - Duo Su; Junjie Hou; Guang Li 008; Ren Togo; Rui Song 007; Takahiro Ogawa 001; Miki Haseyama (ECCV Workshops (19), 2024)

Generative Dataset Distillation Based on Large Model Pool. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Lung Cancer Classification Using Masked Autoencoder Pretrained on J-MID Database. - Ren Tasai; Guang Li 008; Ren Togo; Minghui Tang; Takaaki Yoshimura; Hiroyuki Sugimori; Kenji Hirata; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (GCCE, 2024)

Lung Disease Classification with Limited Training Data Based on Weight Selection Technique. - Ayaka Tsutsumi; Guang Li 008; Ren Togo; Takahiro Ogawa 001; Satoshi Kondo; Miki Haseyama (GCCE, 2024)

Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

Multimodal Low-light Image Enhancement with Depth Information. - Zhen Wang 004; Dongyuan Li; Guang Li 008; Ziqing Zhang; Renhe Jiang (ACM Multimedia, 2024)

Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Dataset Distillation Using Parameter Pruning. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Importance-aware adaptive dataset distillation. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Neural Networks, 2024)

Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity. - Guang Li 008; Ren Togo; Keisuke Maeda; Akinori Sako; Isao Yamauchi; Tetsuya Hayakawa; Shigeyuki Nakamae; Takahiro Ogawa 001; Miki Haseyama (Remote. Sens., 2024)

A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction. - Yuhu Feng; Jiahuan Zhang; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence. - Wenbo Huang 001; Jinghui Zhang; Guang Li 008; Lei Zhang 130; Shuoyuan Wang; Fang Dong; Jiahui Jin; Takahiro Ogawa 001; Miki Haseyama (AAAI, 2025)

Generative Dataset Distillation Based on Self-knowledge Distillation. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images. - Ren Tasai; Guang Li 008; Ren Togo; Minghui Tang; Takaaki Yoshimura; Hiroyuki Sugimori; Kenji Hirata; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (ICASSP, 2025)

Cross-domain multi-step thinking: Zero-shot fine-grained traffic sign recognition in the wild. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Knowl. Based Syst., 2025)

LiDAR-assisted image restoration for extreme low-light conditions. - Zhen Wang 004; Yaozu Wu; Dongyuan Li; Guang Li 008; Peide Zhu; Ziqing Zhang; Renhe Jiang (Knowl. Based Syst., 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory. - Mingzhuo Li; Guang Li 008; Jiafeng Mao; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Hyperbolic Dataset Distillation. - Wenyuan Li; Guang Li 008; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling. - Mingzhuo Li; Guang Li 008; Jiafeng Mao; Linfeng Ye; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Information-Guided Diffusion Sampling for Dataset Distillation. - Linfeng Ye; Shayan Mohajer Hamidi; Guang Li 008; Takahiro Ogawa 001; Miki Haseyama; Konstantinos N. Plataniotis (CoRR, 2025)

Dataset Condensation with Color Compensation. - Huyu Wu; Duo Su; Junjie Hou; Guang Li 008 (CoRR, 2025)