黄建军 博士，教授，硕/博士生导师。1992年获西安电子科技大学电子工程系学士学位，1997年获西安电子科技大学通信与电子系统专业博士学位；1997年10月至1999年9月，在西北工业大学计算机科学与技术博士后流动站从事博士后研究；出站后调入深圳大学，2004年晋升为教授。现为中国体视学会理事、中国体视学会图像分析分会常务理事。长期从事智能信息处理等领域的研究工作，曾获军队科技进步一等奖2项、二等奖1项、三等奖1项，广东省科技进步三等奖1项，深圳市科技进步一等奖1项。拥有30余项国家发明专利及软件著作权。

主要从事信号与信息处理等领域的教学和科研工作。近年来重点关注联邦学习、智能信息处理技术、压缩感知技术、DSP技术等在低空、超低空防空预警和通用航空飞行器监视等领域的应用研究，完成了国家科技支撑计划项目“通用航空综合运行支持系统”和深圳市科技计划项目"多传感器组网系统及应用研究"、"传感器网络关键技术研究"及多项企事业单位委托等课题，突破了低空目标的多传感器组网信息融合、目标检测、目标识别和目标跟踪和精确定位等多项关键技术和装备，获得军队科技进步一等奖2项、二等奖1项、三等奖1项。

研究兴趣：

联邦学习、智能信息处理、雷达信号处理、压缩感知、脑影像处理、多源信息融合等

教授课程：

信号与系统、数字信号处理、信号理论、现代信号处理、C程序设计

近年来发表的部分主要论文：

[1] Jianjun Huang, Xuehao Geng, Li Kang, Ge Luo. Deep Fuzzy System for Dual-Station Target Tracking with Azimuth and Doppler Measurements. IEEE Transactions on Fuzzy systems, 2025.

[2] Li Kang, Mubin Chen, Jianjun Huang*, Jinyang Xu. Identifying autism spectrum disorder based on machine learning for multi-site fMRI. Journal of Neuroscience methods, 416(2025), 110379.

[3] Li Kang, Chuanghong Zhao, Jianjun Huang*. Object Re-Identification Based on Federated Incremental Subgradient Proximal. IEEE Open Journal of Computer Society, 2025, 6: 60-71, 2025, doi: 10.1109/OJCS.2024.3489875.

[4] Li Kang, Xinxin Song, Jianjun Huang*. MRI Super-Resolution Reconstruction Based on 3D Dense Connected Convolutional Autoencoders. Biomedical signal Processing and Control, 2025, 107, 107777.

[5] Jianjun Huang, Zihao Rui, Li Kang*. FedISP: An Incremental Subgradient-Proximal-Based Ring-Type Architecture for Decentralized Federated Learning. Complex & Intelligent Systems, 2024, 10:2499-2514.

[6] Jianjun Huang, Haoqiang Hu, Li Kang. Time Convolutional Network-Based Maneuvering Target Tracking with Azimuth-Doppler Measurement. Sensors, 2024, 24: 263.

[7] Li Kang, Bin Tang, Jianjun Huang*, Jianping Li. 3D-MRI super-resolution reconstruction using multi-modality based on multi-resolution CNN. Computer Methods and Programs in Biomedicine, 2024, 248(108110): 1-9.(ESI高被引、ESI热点论文)

[8] Li Kang, Bin Luo, Jianjun Huang*. Improving the learning performance of client’s local distribution in cyclic federated learning. Image Analysis & Stereology, 2024, 43: 1-8.

[9] Li Kang, Jin Chen, Jianjun Huang*, Jingwan Jiang. Autism Spectrum Disorder Recognition based on Multi-view Ensemble Learning with Multi-site fMRI. Cognitive Neurodynamics, 2023, 17(2): 345-355.

[10] Li Kang, Ziqi Zhou, Jianjun Huang*, Wenzhong Han. Renal tumor segmentation in abdomen CT images using 3D-CNN and ConvLSTM. Biomedical signal processing and control, 2022, 72,103334:1-16.

[11] Li Kang, Jin Chen, Jianjun Huang*, Tijiang Zhang, Jiahui Xu. Identifying Epilepsy based on Machine Learning Technique with Diffusion Kurtosis Tensor. CNS Neuroscience & Therapeutics, 2022, 28(3): 354-363.

[12] Li Kang, Guojuan Liu, Jianjun Huang*, Jianping Li. Super-Resolution Method for MRI Images Based on Multi-resolution CNN. Biomedical signal processing and control, 2022, 72,103372:1-7.

联系方式：

办公室：汇星楼1503

办公电话：2673-2059

E-mail：huangjin@szu.edu.cn