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2020 – today
- 2025
[j10]Xu Kang, Jia Jia, Bing Zhang, Xinzhi Li:
Sample-customized implicit semantic data augmentation for neural networks regularization. Neurocomputing 640: 130288 (2025)- [j9]Xinzhi Li, Yong Liu, Peng Yan, Mingdi Bo, Dong Zhang, Xueyu Yu:
MBR-YOLO: efficient and precise object detection algorithm in marine benthos. J. Electronic Imaging 34(1) (2025) - [j8]Xueyu Yu, Yong Liu, Hao Hu, Xinzhi Li, Mingdi Bo, Dong Zhang, Zijun Zhou:
DMFI-YOLO: dynamic multi-scale feature interaction for enhanced underwater object detection based on YOLO. Multim. Syst. 31(3): 258 (2025) - [j7]Xinzhi Li, Yong Liu, Peng Yan:
Optimizing feature map matching for marine benthic organism detection. Vis. Comput. 41(10): 7883-7907 (2025) - 2024
- [j6]Yongtao Shi, Wei Du
, Chao Gao, Xinzhi Li:
Cross-Layer Connection SegFormer Attention U-Net for Efficient TRUS Image Segmentation. Int. J. Imaging Syst. Technol. 34(5) (2024) - [j5]Wutong Chen, Du Junsheng, Yanzhen Chen, Yifeng Fan, Hengzhi Liu, Chang Tan, Xuanming Shao, Xinzhi Li:
The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks. J. Imaging Inform. Medicine 37(5): 2264-2273 (2024) - [j4]Xianpu Xiao, Taifeng Li, Feng Lin, Xinzhi Li, Zherui Hao, Jiashen Li:
A Framework for Determining the Optimal Vibratory Frequency of Graded Gravel Fillers Using Hammering Modal Approach and ANN. Sensors 24(2): 689 (2024) - 2023
- [j3]Xingyu Li, Shengbo Dong, Qiya Su, Muyao Yu, Xinzhi Li:
Adaptive Threshold Hierarchical Incremental Learning Method. IEEE Access 11: 12285-12293 (2023) - [c4]Xinzhi Li, Xiang Zhang, Juncong Meng, Lanjie Jiang:
A Full-Level Based Network to Detect Every Aircraft in Airport Scene. ICIG (4) 2023: 212-223 - 2021
- [j2]Xinzhi Li, Shengbo Dong:
Research on Efficient Reinforcement Learning for Adaptive Frequency-Agility Radar. Sensors 21(23): 7931 (2021)
2010 – 2019
- 2019
- [j1]Huapeng Zhao, Xinzhi Li, Zhizhang Chen, Jun Hu:
Skeletonization-Scheme-Based Adaptive Near Field Sampling for Radio Frequency Source Reconstruction. IEEE Internet Things J. 6(6): 10219-10228 (2019) - 2017
- [c3]Yongsheng Wang, Xinzhi Li, Zhixin Zhang, Fengchang Lai:
A low gain error two-stage dB-linear variable gain amplifier in 0.35μm CMOS process. ASICON 2017: 367-370 - 2015
- [c2]Xinzhi Li, Qizhi Xu, Feng Gao, Lei Hu:
Pansharpening based on an improved ratio enhancement. IGARSS 2015: 1100-1103 - 2011
- [c1]Baofeng Zhang, Bo Li, Junchao Zhu, Xinzhi Li:
Design of CMOS Image Sensor's Initialization Based on FPGA. ICDMA 2011: 393-396
1990 – 1999
- 1993
- [b1]Xinzhi Li:
Potential analysis for massively parallel computing and its application to neural networks. Kaiserslautern University of Technology, Germany, 1993, pp. 1-166
Coauthor Index
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