主要论文

1.      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 280次)

2.      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)

3.      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)

4.      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)

5.      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)

6.      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)

7.      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)

8.      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)

9.      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)

10.  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)

11.  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)

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

13.  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)

14.  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)

15.  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