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Author

Ti-Yao Liu

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Sep 2026

MASP-CMI: A Sequence-Derived Multi-View Attribute and Similarity-Prior Evidence Learning Framework for circRNA−miRNA Interaction Prediction

circRNA−miRNA interactions (CMIs) regulate downstream gene expression through the miRNA sponge mechanism and contribute to the progression of various diseases. Although computational methods have advanced the prediction of potential CMIs, existing approaches still face challenges such as sparse association networks,...

Zhe-Qi Song, Shan-Chen Pang, Yun-Yin Li et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network

This work relocating consensus from parameter space to function (output) space is provided, relocating consensus from parameter space to function (output) space: a KD event is a geometric contraction operator in logit space on the peers' predictive distributions, which is analysed in the Hilbert space of predictions on...

Lucas Qingyang Fang, Ti-Yao Liu, Jinhao Jing et al. · 0 citations
Review Aug 2026

Molecular targeting of CDK9 in oncology therapeutics: avenues for translational impact.

The molecular functions of the CDK9/positive transcription elongation factor b (P-TEFb) axis, its role in super-enhancer-driven oncogenic programs, and the mechanisms by which CDK9 inhibition promotes apoptosis, epigenetic derepression, and tumor microenvironment remodeling are summarized.

Ti-Yao Liu, Zhongran Liu, Wen-Jing Wei et al. · 0 citations
Open access Jul 2026

PM-DUnet: Fusing long-range dependencies and attention in a dual-U architecture for thyroid nodule segmentation

A Parallel Mamba Dual-U Network that adopts a cascaded dual U-Net encoder-decoder for two-stage “coarse-to-fine” segmentation refinement and outperforms state-of-the-art methods on most core metrics, verifying its effectiveness and robustness for complex medical image segmentation.

Shao-Qiang Wang, Linhao Zhang, Guiling Shi et al. · 0 citations
Jul 2026

Higher-Order Dynamic Disentangled Intent Sensing and Bidirectional Joint Updating Framework for NcRNA-Drug Resistance Association Prediction

High-order dynamic disentangled framework for predicting ncRNA-drug resistance associations is proposed, suggesting that HDBI provides an effective and interpretable framework for prioritizing ncRNA-mediated drug resistance associations and guiding downstream mechanistic investigation.

Tiyao Liu, Shu-Dong Wang, Baoming Feng et al. · 0 citations
Jul 2026

A Multitask Prediction Framework for CircRNAs, Drugs, and Diseases Based on Multi-View Information Integration and Graph Contrastive Learning.

MVII-GCL is proposed, a novel multitask prediction framework built upon multiview information integration and graph contrastive learning that supports robustness against data sparsity and noise and its ability to discover potential associations.

Shudong Wang, Bo Yue, Tiyao Liu et al. · 0 citations

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