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    Article

    3A-COT: an attend-arrange-abstract chain-of-thought for multi-document summarization

    Large language models (LLMs) have shown significant promise in single-document summarization (SDS). However, there has been limited exploration in multi-document summarization (MDS). The primary challenge in M...

    Yongbing Zhang, Shengxiang Gao, Yuxin Huang in International Journal of Machine Learning … (2024)

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    Article

    Hir-net: a simple and effective heterogeneous image restoration network

    Image restoration refers to restoring the original image as much as possible from the damaged or degraded image. In recent years, deep learning-based methods have become the mainstream method for image restora...

    Qing Luo, Yaohua Liao, Biao **g, **ang Gao in Signal, Image and Video Processing (2024)

  3. Article

    Open Access

    A complete telomere-to-telomere assembly of the maize genome

    A complete telomere-to-telomere (T2T) finished genome has been the long pursuit of genomic research. Through generating deep coverage ultralong Oxford Nanopore Technology (ONT) and PacBio HiFi reads, we report...

    Jian Chen, Zijian Wang, Kaiwen Tan, Wei Huang, Junpeng Shi, Tong Li in Nature Genetics (2023)

  4. Article

    Correction to: Application of Metabolomics to the Discovery of Biomarkers for Ischemic Stroke in the Murine Model: a Comparison with the Clinical Results

    ****g Jia, Hangyao Zhang, **aoyi Liang, Yuning Dai, Lihe Liu in Molecular Neurobiology (2022)

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    Article

    Application of Metabolomics to the Discovery of Biomarkers for Ischemic Stroke in the Murine Model: a Comparison with the Clinical Results

    Ischemic stroke (IS) is a major cause of mortality and disability worldwide. However, the pathogenesis of IS remains unknown, and methods for early prediction and diagnosis of IS are lacking. Metabolomics can ...

    ****g Jia, Hangyao Zhang, **aoyi Liang, Yuning Dai, Lihe Liu in Molecular Neurobiology (2021)

  6. Article

    Open Access

    A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction

    With the rapid development of sequencing technologies, collecting diverse types of cancer omics data become more cost-effective. Many computational methods attempted to represent and fuse multiple omics into a...

    Kaiwen Tan, Weixian Huang, **long Hu in BMC Medical Informatics and Decision Making (2020)