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Achieving fair medical image segmentation in foundation models with adversarial visual prompt tuning 期刊论文
INFORMATION SCIENCES, 2025, 卷号: 720, 页码: 16
作者:  Li, Yuqi;  Li, Yanli;  Zhang, Kai;  Zhang, Fuyan;  Yang, Chuanguang;  Guo, Zhongliang;  Ding, Weiping;  Huang, Tingwen
收藏  |  浏览/下载:2/0  |  提交时间:2025/12/03
Fairness  Image segmentation  Foundation models  Visual prompt tuning  Medicine data analysis  
TCMP-300: A Comprehensive Traditional Chinese Medicinal Plant Dataset for Plant Recognition 期刊论文
SCIENTIFIC DATA, 2025, 卷号: 12, 期号: 1, 页码: 12
作者:  Zhang, Yanling;  Sun, Wanhui;  Yang, Chuanguang;  Huang, Libo;  An, Zhulin;  Feng, Weilun;  Tang, Wenjing;  Xu, Yongjun
收藏  |  浏览/下载:2/0  |  提交时间:2025/12/03
Enhancing spatiotemporal prediction through the integration of Mamba state space models and Diffusion Transformers 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2025, 卷号: 316, 页码: 11
作者:  Zeng, Hansheng;  Li, Yuqi;  Niu, Ruize;  Yang, Chuanguang;  Wen, Shiping
收藏  |  浏览/下载:11/0  |  提交时间:2025/06/25
Deep learning  Spatio-temporal prediction  Mamba  Diffusion  
PDD: Pruning Neural Networks During Knowledge Distillation 期刊论文
COGNITIVE COMPUTATION, 2024, 页码: 11
作者:  Dan, Xi;  Yang, Wenjie;  Zhang, Fuyan;  Zhou, Yihang;  Yu, Zhuojun;  Qiu, Zhen;  Zhao, Boyuan;  Dong, Zeyu;  Huang, Libo;  Yang, Chuanguang
收藏  |  浏览/下载:35/0  |  提交时间:2024/12/06
Knowledge distillation  Model pruning  Model compression  
基于图表征知识蒸馏的图像分类方法 期刊论文
电子学报, 2024, 卷号: 52, 期号: 10, 页码: 3435
作者:  杨传广;  陈路明;  赵二虎;  安竹林;  徐勇军
收藏  |  浏览/下载:2/0  |  提交时间:2025/12/04
knowledge distillation  graph convolutional neural network  image classification  meta-learning  representation learning  知识蒸馏  图卷积神经网络  图像分类  元学习  表征学习  
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 10212-10227
作者:  Yang, Chuanguang;  An, Zhulin;  Zhou, Helong;  Zhuang, Fuzhen;  Xu, Yongjun;  Zhang, Qian
收藏  |  浏览/下载:46/0  |  提交时间:2023/12/04
Contrastive learning  mutual learning  online knowledge distillation  visual recognition