发表SCI和EI检索论文多篇，代表论文：
遥感图像目标检测大规模并行训练方面：我们提出了一种名为LargeRSDet的大批量目标检测器，用于遥感图像目标检测任务，该检测器可以以最大1024的批量大小进行训练，并且性能损失很小。使用LargeRSDet，我们可以有效地利用最多1024个GPU来并行训练目标检测算法，从而能大大提高训练速度，不仅有助于我们的模型以更快的方式收敛，而且还提供了达到更高精度的能力。目前论文《LargeRSDet: A Large Mini-Batch Object Detector for Remote Sensing Images》已经发表在遥感图像处理领域的知名期刊IEEE Geoscience and Remote Sensing Letters ，IEEE论文链接
(1) Huming Zhu,etc. LargeRSDet: a large mini-batch object detector for remote sensing images. IEEE Geosci Remote Sensing Lett.2024，21:1–5.
(2) Huming Zhu, Peng Zhang, Libing Wang, Xiaohua Zhang & Licheng Jiao .A multiscale object detection approach for remote sensing images based on MSE-DenseNet and the dynamic anchor assignment, Remote Sensing Letters, 2019,10:(10):959-967.
（SCI，影响因子2.0）
(3) Huming Zhu, Duo Wang,Peng Zhang,Zheng Luo,Licheng Jiao,Hong Han. Parallel implementations of frame rate up-conversion algorithm using OpenCL on heterogeneous computing devices. Multimedia Tools and Applications, 2019, 78(7):9311–9334. （SCI，影响因子2. 1）
(4)Huming Zhu,Yanfei Wu,P Li,Peng Zhang,Zhe Ji,Maoguo Gong.A OPENCL-Accelerated Parallel Immunodominance Clone Selection Algorithm for Feature Selection, Concurrency and Computation: Practice and Experience, 2017,29(9):1-16（SCI，影响因子1.2，并行计算知名刊物）
(5) Huming Zhu, Yanfei Wu, Pei Li,Duo Wang,Wei Shi, Peng Zhang, Licheng Jiao. A Parallel Non-Local Means Denoising Algorithm Implemtation with OpenMP and OpenCL on Intel Xeon Phi .Journal of Computational Science, 2016,17(3)591-598（SCI，影响因子2.5）
(6) Huming Zhu, Yu Cao, Zhiqiang Zhou, Maoguo Gong, Licheng Jiao. Parallel Unsupervised SAR Image Change Detection on GPU. International Journal of High Performance Computing Applications, 2013, 27(2):109-122（SCI，影响因子2.1，计算机系统硬件与系统结构知名期刊）
(7)Huming Zhu, Zhong WQ, Jiao, L. C. Combination of Target Detection and Block-matching 3D Filter for Despeckling SAR Images. Electronics Letters.2013, 49(7):495-496（SCI，影响因子1.2）
(8)Shuiping Gou,Xiong Zhuang, Huming Zhu. Parallel Sparse Spectral Clustering for SAR Image sengmention. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing，2013,6(4):1949-1962（SCI,二区）
(9)朱虎明, 李佩, 焦李成，杨淑媛，侯彪. 深度神经网络并行化研究综述. 计算机学报, 2018，41(8):1861-1881.