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  1. Article

    Open Access

    DNMT1-targeting remodeling global DNA hypomethylation for enhanced tumor suppression and circumvented toxicity in oral squamous cell carcinoma

    The faithful maintenance of DNA methylation homeostasis indispensably requires DNA methyltransferase 1 (DNMT1) in cancer progression. We previously identified DNMT1 as a potential candidate target for oral squ...

    Yangfan Liu, Yu Sun, ** Yang, Deyang Wu, Shuang Yu, Junjiang Liu in Molecular Cancer (2024)

  2. Article

    Open Access

    Down-regulation of DNA key protein-FEN1 inhibits OSCC growth by affecting immunosuppressive phenotypes via IFN-γ/JAK/STAT-1

    Oral squamous cell carcinoma (OSCC) escape from the immune system is mediated through several immunosuppressive phenotypes that are critical to the initiation and progression of tumors. As a hallmark of cancer...

    Shimeng Wang, **angjian Wang, Jun Sun, ** Yang in International Journal of Oral Science (2023)

  3. Article

    Open Access

    TGF-β signaling in the tumor metabolic microenvironment and targeted therapies

    Transforming growth factor-β (TGF-β) signaling has a paradoxical role in cancer progression, and it acts as a tumor suppressor in the early stages but a tumor promoter in the late stages of cancer. Once cancer...

    Xueke Shi, ** Yang, Shuzhi Deng, Hongdan Xu, Deyang Wu in Journal of Hematology & Oncology (2022)

  4. No Access

    Chapter and Conference Paper

    ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-Aware Supervision Information

    Efficient models for text detection have a wide range of applications. However, existing real-time text detection methods mainly focus on the inference speed without considering the number of parameters. In th...

    **ngfei Hu, Deyang Wu, Haiyan Li, Fei Jiang, Hongtao Lu in Neural Information Processing (2021)

  5. No Access

    Chapter and Conference Paper

    Text Detection by Jointly Learning Character and Word Regions

    Text detection in natural scenes has developed significantly in recent years. Segmentation-based methods are widely used for text detection because they are robust to detect text of any shape. However, most st...

    Deyang Wu, **ngfei Hu, Zhaozhi **e in Document Analysis and Recognition – ICDAR … (2021)