主要论文

1. Li Zhu, Zengtian Chen, Hong Zhang, et al. Explainable AI unravels sepsis heterogeneity via coagulation-inflammation profiles for prognosis and stratification. Nature Communications 16.1 (2025): 10396.（IF=15.7，第一作者）

2. Huang Faming, Jing Zhang, Chuangbing Zhou, Yuhao Wang, Jinsong Huang ，Li Zhu*. A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction [J]. Landslides,17(1)217-229(2020) (通信作者, SCI, 高被引, IF="6.578," 中科院一区, Google Scholar引用次数450次)

3.   Li Zhu, Hari Bharadwaj, Jing Xia, Barbara Shinn-Cunningham. A comparison of spectral magnitude and phase-locking value analyses of the frequency-following response to complex tones [J]. Journal of the Acoustical Society of America, 134, 384-395(2013). (SCI, Google Scholar引用次数 103次,作为听觉神经增强的主要两个实验之一被美国科学院院报PNAS论文Neural auditory contrast enhancement in humans等引用)

4. Li Zhu, Gongjian Wang, Faming Huang, Yan Li, Wei Chen & Haoyuan Hong. Landslide susceptibility prediction using sparse feature extraction and machine learning models based on GIS and remote sensing [J]. IEEE Geoscience and Remote Sensing Letters, 19(3001505),1-5(2022). (SCI,高被引, IF="5.343,中科院二区)

5. Li Zhu, Changshi Yu, Yaxing Chu, Xiaofei Song, Qi Wang, Lekai Liu, Keji Liu, Filippo Catani, Jinsong Huang, Faming Huang. A hierarchical graph-based hybrid neural networks with a self-screening strategy for landslide susceptibility prediction in the spatial–frequency domain. Bulletin of Engineering Geology and the Environment, 84(3), 124. (2025) (JCR Q1)第一作者

6.Zhendong Zhai, JunZhe Peng, Wenjun Zhong, Jun Tao Yaqi Ao , Bailin Niu & Li Zhu*. Identification of key genes and potential therapeutic targets in sepsis-associated acute kidney injury using transformer and machine learning approaches. Bioengineering, 12(5), 536.(2025)通讯作者

7. Li Zhu,  Qiong He, Yue Huang, Zihe Zhang, Jiaming Zeng, Lin Lu, Weiming Kong, Fuqing Zhou, DualMMP-GAN: Dual-scale multi-modality perceptual generative adversarial network for medical image segmentation [J]. Computers in Biology and Medicine(2022).(SCI, IF= 6.698)

8. Li Zhu, Lianghao Huang, Linyu Fan, Jinsong Huang, Faming Huang, Jiawu Chen, Zihe Zhang & Yuhao Wang. Landslide susceptibility prediction modeling based on remote sensing and a novel deep learning algorithm of cascade-parallel recurrent neural network[J]. Sensors-Basel, 1576(2020) (SCI, IF="3.576,Google" Scholar引用次数 63 次)

9.  Li Zhu, Weke Chang. Application of deep convolutional neural networks in ADHD classification: data augmentation and CNN transfer learning [J]. Journal of Medical Imaging and Health Informatics, 9, 1717-1724 (2019) (SCI)

10. Fei Guo, Xishun Zhu, Zhiheng Wu, Li Zhu, Jianhua Wu, and Fan Zhang. Clinical applications of machine learning in the survival prediction and classification of sepsis: coagulation and heparin usage matter. Journal of Translational Medicine, 2022 Jun 11;20(1):265. (SCI, IF="8.44)

11.  Fuqing Zhou, Yanlin Zhao, Li Zhu, Jian Jiang, Muhua Huang, Yong Zhang, Ying Zhuang, Honghan Gong. Compressing the lumbar nerve root changes the frequency-associated cerebral amplitude of fluctuations in patients with low back/leg pain [J]. Scientific Reports, 9:2246 (2019). (SCI)

12.  Li Zhu, Fen Zheng, Juan Deng, Zheng Yan, Xiaoling Xu. Research on neural mechanisms of plasticity of auditory selective attention [J].Progress in biochemistry and biophysics, 42(7), 647-662. (2015). (SCI)

13.  Li Zhu, Juan Deng, Jianhua Wu, Nanrun Zhou. Experimental analysis of auditory mechanism of neural phase-locking based on sample entropy [J]. Acta Physica Sinica , 64(18), 184302-1-184302-10. (2015). (SCI)

14.  Li Zhu, Jing Zhang, Ying-Kai Fu, Hui Shen, Shou-Feng Zhang, Xiang-Gong Hong.Infrared thermal image ROI extraction algorithm based on fusion of multi-modal feature maps [J]. Journal of Infrared Millim.Waves, 38(1),125-132 (2019). (SCI)

15.  Huifang Huang, Guangshu Hu, Li Zhu. Sparse representation-based heartbeat classification using independent component analysis. Journal of Medical Systems, 36(2):1235-1247. (SCI)

16.  朱莉, 赵俊, 傅应锴, 张晶, 沈惠, & 张守峰.一种红外热图像目标区域分割的深度学习算法. 西安电子科技大学学报(4), 107-114. (2019). (EI)

17.  朱莉, 张丽英, 韩云涛, 曾佺, 常为科. 基于卷积神经网络的注意缺陷多动障碍分类研究 [J].生物医学工程学杂志, (1):90-105. (2017). (EI)

18.  朱莉, 曾佺, 蒋杨婷, 陈佳, 张丽英.注意缺陷多动障碍患儿事件相关脑电位研究[J].生物医学工程学杂志, (1):161-166. (2016). (EI)

会议论文

1.  Li Zhu, Hari Bharadwaj, Jing Xia, AKC Lee, Barbara Shinn-Cunningham. Behavioral, brainstem, and cortical differences between musicians and non-musicians. 1st International Conference on Cognitive Hearing Science. Linkoping, Sweden.（国际会议，林雪平，瑞典）

2.   Li Zhu, Jing Xia, Barbara Shinn-Cunningham. Relationship between selective auditory attention and brainstem encoding in musicians and nonmusicians. The Journal of the Acoustical Society of America,129, 2490. (国际会议，西雅图，美国)

3.   Hui Shen, Li Zhu*, Xiang-gong Hong, Weike Chang. ROI Extraction Method of Infrared Thermal Image Based on GLCM Characteristic Imitate Gradient [100]//CCF Chinese Conference on Computer Vision. Singapore:Springer,2017:192-205. Published: 30 November 2017 in e-Business and Telecommunication Networks