Yuanning Liu

Sfmfold: A Multi-Modal Contrast Learning Model for Rna Secondary Structure Prediction

Ang Li, Yuanning Liu, Zhaoyang Zhang, Shuwang Li et autres

FSCfold: Full-Scale Skip-Connected Deep Learning for Accurate and Efficient RNA Secondary Structure Prediction

Shuwang Li, Yuanning Liu

cn (code pays fourni par la source)

HAHNet: A convolutional neural network for HER2 status classification of breast cancer

Jiahao Wang, Xiaodong Zhu, Kai Chen, Lei Hao et autres

Abstract Background: Breast cancer is a major health problem for women. Human epidermal growth factor receptor-2 (HER2) is a very important diagnostic and prognostic factor for breast cancer, and HER2 status classification is essential for the development of treatment plans for breast …

cn (code pays fourni par la source)

The feature selection strategy of few-shot learning based on causal inference

Jining Zhang, Xiaodong Zhu, Yuanning Liu

Statistical learning methods require large-scale data to make the significant generalized probability and observation error close to each other. Few-shot learning can alleviate this situation, but it cannot break through the limitations of statistical learning methods. The training model only depends on …

cn (code pays fourni par la source)

Toward More Accurate Heterogeneous Iris Recognition with Transformers and Capsules

Zhiyong Zhou, Yuanning Liu, Xiaodong Zhu, Shuai Liu et autres

cn, jp (code pays fourni par la source)

Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet

Ying Chen, Huimin Gan, Huiling Chen, Yugang Zeng et autres

cn, ir (code pays fourni par la source)

LiSeNet: multitask lightweight segmentation network for accurate and complete iris segmentation

Ye Ji Sun, Yinan Lu, Yuanning Liu, Shuai Liu et autres

The demand for applying the iris segmentation model on mobile devices has been growing rapidly. Most current segmentation networks have an enormous amount of parameters, hence unsuitable for mobile devices, while other small memory footprint models follow the spirit of classification networks …

cn, jp (code pays fourni par la source)

Towards More Accurate and Complete Iris Segmentation Using Hybrid Transformer U-Net

Ye Ji Sun, Yinan Lu, Yuanning Liu, Xiaodong Zhu

Iris images captured in less-constrained environments often suffer from adverse noise, challenging many existing segmentation algorithms. In this paper, we propose an efficient Hybrid Transformer U-Net (HTU-Net) to address this dilemma. Unlike previous studies that only focus on utilizing popular CNN technology …

cn (code pays fourni par la source)

Real-time iris segmentation model based on lightweight convolutional neural network

Guang Huo, Dawei Lin, Yuanning Liu, Xiaodong Zhu et autres

Iris segmentation is an important task in the iris recognition system. Traditional iris segmentation methods are susceptible to irrelevant noise. At present, segmentation methods based on convolutional neural networks (CNNs) have become the main trend in addressing the task. Although these networks …

vn, cn (code pays fourni par la source)

A Task Processing Efficiency Improvement Scheme Based on Cloud-Edge Architecture in Dense Computing Environments

Jiahui Feng, Jingze Qi, Yuanning Liu, Zhen Liu

cn (code pays fourni par la source)

The Two-Stage Recognition Method Based on Texture Signals of the Heterogeneous Unsteady Iris

Shuai Liu, Yuanning Liu, Xiaodong Zhu, Jing Liu et autres

In this paper, a two-stage multi-category recognition structure based on texture features is proposed. This method can solve the problem of the decline in recognition accuracy in the scene of lightweight training samples. Besides, the problem of recognition effect different in the …

cn (code pays fourni par la source)

An iris quality evaluation method with pre-recognition screening function

Shuai Liu, Yuanning Liu, Xiaodong Zhu, Zhen Liu

cn, jp (code pays fourni par la source)