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[2] Xinyang Li*, Yixin Li*, Yiliang Zhou, Jiamin Wu, et al. "Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit." Nature Biotechnology, 2023.

[3] Xinyang Li*, Yuanlong Zhang*, Jiamin Wu#, Qionghai Dai#. "Challenges and opportunities in bioimage analysis." Nature Methods, 2023.

[4] Xinyang Li*, Guoxun Zhang*, Jiamin Wu, Yuanlong Zhang, et al. "Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising." Nature Methods, 2021.

[5] Xinyang Li*, Xiaowan Hu*, Xingye Chen*, Jiaqi Fan, et al. "Spatial redundancy transformer for self-supervised fluorescence image denoising." Nature Computational Science, 2023.

[6] Xinyang Li*, Guoxun Zhang*, Hui Qiao*, Feng Bao, et al. Unsupervised content-preserving transformation for optical microscopy. Light: Science & Applications, 2021.

[7] Zhi Lu*, Wentao Chen*, Feihao Sun, Jiaqi Fan, Xinyang Li, et al. Leveraging spatial-angular redundancy for self-supervised denoising of 3D fluorescence imaging without temporal dependency. Nature Communications, 2025.

[8] Zhifeng Zhao*, Yiliang Zhou*, Bo Liu*, Jing He*, Jiayin Zhao, Yeyi Cai, Jingtao Fan, Xinyang Li, et al. "Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue." Cell, 2023.

[9] Guoxun Zhang*, Xiaopeng Li*, Yuanlong Zhang*, Xiaofei Han, Xinyang Li, et al. Bio-friendly long-term subcellular dynamic recording by self-supervised image enhancement microscopy. Nature Methods, 2023.

[10] Yuanlong Zhang*, Guoxun Zhang*, Xiaofei Han, Jiamin Wu, Ziwei Li, Xinyang Li, et al. Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data. Nature Methods, 2023.