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2020 – today
- 2026
[j15]Yuqiao Gong
, Xin Yuan, Zhangsheng Yu:
Empowering multifaceted analysis of spatial transcriptomics data with RGAST. Briefings Bioinform. 27(3) (2026)- [j14]Yujia Xia, Jie Zhou, Mengdie Wang, Tingting Hu, Wei Zhai, Yufei Zhang, Zhangsheng Yu:
Leveraging co-attention-based interactions between pathology and radiology for pan-cancer survival prediction. Comput. Medical Imaging Graph. 130: 102744 (2026) - 2025
- [j13]Liu Cheng, Ting Wei, Xiaochen Cui, Hai-Feng Chen, Zhangsheng Yu:
ProDualNet: dual-target protein sequence design method based on protein language model and structure model. Briefings Bioinform. 26(Supplement_1) (2025) - [j12]Luke Johnston, Zhangsheng Yu:
Spatially Aware GCNs for efficient, high-accuracy cancer grading: Mitigating oversmoothing via frequency analysis. Comput. Biol. Medicine 198: 111037 (2025) - [j11]Ruitian Gao, Xin Yuan, Yihan Sun, Yifan Wang, Yujia Xia, Ting Wei, Dakang Xu, Zhangsheng Yu:
Enhancing gastric cancer prognosis prediction via multi-step multi-modality ensemble survival modeling of HE-stained images and mIHC data. Comput. Methods Programs Biomed. 270: 108971 (2025) - [j10]Jie Zhou, Yujia Xia, Xiaolei Xun, Zhangsheng Yu:
Deep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer. J. Imaging Inform. Medicine 38(1): 380-393 (2025) - [j9]Xinyi Zang, Yujia Xia, Haibing Xiao, Haolun Luo, Minggui Si, Naiqiao Hou, Axide Haoni, Tianyi Chen, Ziyi Liu, Xinyuan Pu, Xiangyu Zi, Lijun Xu, Jin Zhu, Zhipeng Xu, Jianning Wang, Zaoyu Wang, Jun Xia, Dengfeng Cao, Yu Yin, Jieying Wang, Xiaorong Wu, Wen Kong, Jiwei Huang, Jin Zhang, Yonghui Chen, Yiran Huang, David Ka-Wai Leung, Jeremy Yuen-Chun Teoh, Keliang Wang, Chaozhao Liang, Junhua Zheng, Zhangsheng Yu, Wei Zhai:
A multimodal AI model for precision prognosis in clear cell renal cell carcinoma: A multicenter study. npj Digit. Medicine 8(1) (2025) - 2024
- [j8]Yidan Cui, Qingmin Lin, Xin Yuan, Fan Jiang, Shiyang Ma, Zhangsheng Yu:
Mediation analysis in longitudinal study with high-dimensional methylation mediators. Briefings Bioinform. 25(6) (2024) - 2023
- [j7]Luke Johnston, Zhangsheng Yu:
A novel cost function for nuclei segmentation and classification in imbalanced histopathology data-sets. Comput. Medical Imaging Graph. 109: 102296 (2023) - [j6]Xiaomeng Qi, Zhangsheng Yu:
Kernel regression for cause-specific hazard models with time-dependent coefficients. Comput. Stat. 38(1): 263-283 (2023) - 2021
- [j5]Fei Qin, Zhangsheng Yu:
Penalized spline estimation for panel count data model with time-varying coefficients. Comput. Stat. 36(4): 2413-2434 (2021) - [j4]Yujing Xie, Zhangsheng Yu:
Mixture cure rate models with neural network estimated nonparametric components. Comput. Stat. 36(4): 2467-2489 (2021) - 2020
- [j3]Zhou Tang, Zhangsheng Yu, Cheng Wang:
A fast iterative algorithm for high-dimensional differential network. Comput. Stat. 35(1): 95-109 (2020) - [j2]Chengwen Luo, Botao Fa, Yuting Yan, Yang Wang, Yiwang Zhou, Yue Zhang, Zhangsheng Yu:
High-dimensional mediation analysis in survival models. PLoS Comput. Biol. 16(4) (2020)
2010 – 2019
- 2016
- [j1]Cong Liu, Jianping Jiang, Jianlei Gu, Zhangsheng Yu, Tao Wang, Hui Lu:
High-dimensional omics data analysis using a variable screening protocol with prior knowledge integration (SKI). BMC Syst. Biol. 10(4): 457-464 (2016)
1980 – 1989
- 1988
- [c1]Zhangsheng Yu, Gerd Maderlechner:
Determination of Global Properties in Document Processing. MVA 1988: 312-314
Coauthor Index
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