Guang Li

Orcid: 0000-0003-2898-2504

Affiliations:

Hokkaido University, Graduate School of Information Science and Technology, Sapporo, Japan

According to our database¹, Guang Li authored at least 50 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

SAS: Semantic-aware Sampling for Generative Dataset Distillation.

[BibT_eX]

[DOI]

Konstantinos N. Plataniotis

Miki Haseyama

CoRR, May, 2026

Predictive but Not Plannable: RC-aux for Latent World Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging.

[BibT_eX]

[DOI]

Linfeng Ye

Shayan Mohajer Hamidi

Konstantinos N. Plataniotis

CoRR, March, 2026

L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts.

[BibT_eX]

[DOI]

CoRR, January, 2026

Difficulty-guided Sampling: Bridging the Target Gap between Dataset Distillation and Downstream Tasks.

[BibT_eX]

[DOI]

Konstantinos N. Plataniotis

Miki Haseyama

CoRR, January, 2026

Foreground-Aware Dataset Distillation via Dynamic Patch Selection.

[BibT_eX]

[DOI]

CoRR, January, 2026

Dual-model weight selection and self-knowledge distillation for medical image classification.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2026

Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Decoupled Audio-Visual Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, November, 2025

Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness.

[BibT_eX]

[DOI]

CoRR, October, 2025

Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning.

[BibT_eX]

[DOI]

CoRR, October, 2025

Information-Guided Diffusion Sampling for Dataset Distillation.

[BibT_eX]

[DOI]

Linfeng Ye

Shayan Mohajer Hamidi

Guang Li

Takahiro Ogawa

Miki Haseyama

Konstantinos N. Plataniotis

CoRR, July, 2025

Hyperbolic Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory.

[BibT_eX]

[DOI]

CoRR, May, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.

[BibT_eX]

[DOI]

Baharan Mirzasoleiman

Manolis Kellis

Konstantinos N. Plataniotis

CoRR, May, 2025

Dataset Condensation with Color Compensation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

LiDAR-assisted image restoration for extreme low-light conditions.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

Cross-domain multi-step thinking: Zero-shot fine-grained traffic sign recognition in the wild.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Generative Dataset Distillation Based on Self-knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction.

[BibT_eX]

[DOI]

Sensors, May, 2024

Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity.

[BibT_eX]

[DOI]

Remote. Sens., May, 2024

Importance-aware adaptive dataset distillation.

[BibT_eX]

[DOI]

Neural Networks, 2024

Dataset Distillation Using Parameter Pruning.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal Low-light Image Enhancement with Depth Information.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2024

Lung Disease Classification with Limited Training Data Based on Weight Selection Technique.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

Lung Cancer Classification Using Masked Autoencoder Pretrained on J-MID Database.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

Generative Dataset Distillation Based on Large Model Pool.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

Generative Dataset Distillation Based on Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Generative Dataset Distillation: Balancing Global Structure and Local Details.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching.

[BibT_eX]

[DOI]

Sensors, December, 2023

Self-supervised learning for gastritis detection with gastric X-ray images.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., October, 2023

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, May, 2023

COVID-19 detection based on self-supervised transfer learning using chest X-ray images.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., April, 2023

2022

Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Dataset Distillation for Medical Dataset Sharing.

[BibT_eX]

[DOI]

CoRR, 2022

Compressed gastric image generation based on soft-label dataset distillation for medical data sharing.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

TriBYOL: Triplet BYOL for Self-Supervised Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Cross-view Self-supervised Learning via Momentum Statistics in Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2021

Triplet Self-Supervised Learning for Gastritis Detection with Scarce Annotations.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2020

Soft-Label Anonymous Gastric X-Ray Image Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Complexity Evaluation of Medical Image Data for Classification Problem Based on Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020

Guang Li

Timeline

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