INTRODUCTION
Gene feature selection is essential in bioinformatics and medical research, as it identifies gene subsets closely associated with specific diseases or biological traits from high-dimensional gene datasets. High-dimensional gene data causes the curse of dimensionality, leading to sparsity, complex inter-fea...
Zhilin Wangy, Wei-Ping Ding, Jinquan Zhang et al.· Journal of Advanced Research· 0 citations
Results indicate that PIQGNN provides an efficient, scalable, and noise-resilient quantum framework for graph learning, highlighting its practical potential in the noisy intermediate-scale quantum (NISQ) era.
Maoduo Li, Wen Liu, Lei Shi et al.· IEEE Transactions on Neural...· 0 citations
Hashing algorithms represent data by generating compact binary hash codes, enabling efficient cross-modal similarity search and significantly improving the storage efficiency and retrieval performance of image-text data. However, because traditional hashing methods typically separate image-text feature extraction from...
Shuang Zhang, Yue Wu, Lei Shi et al.· IEEE Transactions on Knowled...· 0 citations
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