张军(副教授)

硕士生导师

电子邮箱:

所在单位:信息工程学院

学历:博士研究生毕业

性别:男

学位:工学博士学位

在职信息:在职

   

个人简介

工学博士,副教授,硕士生导师,广东省高等学校“千百十工程”校级培养对象,首批“广东工业大学优秀青年教师培养计划”培养对象。主要研究方向为人工智能、压缩感知理论及应用,大数据的感知、表示与分析,面向可穿戴设备的智能信息处理等。主持包括国家自然科学基金项目在内的多项国家级、省市级科研项目。在IEEE Trans. Signal Proc., IEEE Internet of Things Journal, IEEE Trans. Instrumentation and Meas., IEEE J. Biomedical and Health Infor., IEEE Wireless Comm. Lett.,IEEE Signal Proc. Lett., IEEE Photonics Technology Lett.,Information Science等国际权威期刊上发表科研论文30余篇,曾获广东省自然科学二等奖(2019年,排名第五)、广东工业大学教学成果二等奖(2017年,排名第一)、广东工业大学先进科技工作者等奖励。



学术兼职:

1.IEEE 会员

2.中国人工智能学会教育工作委员会 委员

3.全国高等学校计算机基础教育研究会 智能技术应用专委会 常务委员

4.广东省科技咨询专家

5.担任下列国际权威期刊审稿人:

IEEE Trans Neural Networks and Learning Systems、IEEE Trans. Fuzzy System、IEEE Trans. Neural Systems and Rehabilitation Engineering、IEEE Trans Industrial Informatics、IEEE Journal of Biomedical and Health Informatics、IEEE Signal Processing Letters, IEEE Communication Letters、Digital Signal Processing、Neural Processing Letters,Neurocomputing、Multidimensional Systems and Signal Processing、Circuits, Systems and Signal Processing等。



主要荣誉:

1. 2019年广东省自然科学二等奖(排名第五)

2. 广东工业大学信息工程学院专业建设贡献奖(2018年

3. 广东省“千百十工程”校级培养对象

4. 入选首批“广东工业大学优秀青年教师培养计划”

5. 广东工业大学第十届校级教学成果奖二等奖(排名第一)

6. 第十六届全国大学生智能汽车竞赛全国总决赛二等奖 指导老师)

7.  第七届全国大学生“飞思卡尔”杯智能汽车竞赛华南赛区二等奖 (指导老师)

8. 广东工业大学第一届青年教师研究论文竞赛“十佳研究论文”奖

9. 湖南省优秀毕业生


主要论文:

[1] Jun Zhang (张军), Guangfei Xie, Guojun Han, Zhu Liang Yu, Zhenghui Gu and Yuanqing Li, “Compressive Sensing based Power Allocation Optimization for Energy Harvesting IoT Nodes, ” IEEE Trans. Wireless Comm., 2021, DOI: 10.1109/TWC.2021.3131159.

[2] Ting Li, Jun Zhang (张军)*, Zhijing Yang, Zhu Liang Yu, Zhenghui Gu and Yuanqing Li, “Dynamic User Activity and Data Detection for Grant-free NOMA via Weighted L2,1 Minimization, ” IEEE Trans. Wireless Comm., 2021, DOI: 10.1109/TWC.2021.3105825 (*Corresponding Author)

[3] Jun Zhang (张军), Yuanqing Li, Zhu Liang Yu, Zhenghui Gu, Yu Cheng and Huoqing Gong, “Deep Unfolding with Weighted L1 Minimization for Compressive Sensing,” IEEE Internet of Things Journal, vol. 8, no. 4, pp: 3027-3041, 2021.

[4] Yu Cheng, Kin-Yeung Wong, Kevin Hung, Weitong Li, Zhizhong Li and Jun Zhang*(张军). “Deep Nearest Class Mean Model for Incremental Odor Classification, IEEE Trans. Instrumentation and Measurementvol. 68, no.4, pp: 952-962, 2019 (*Corresponding Author)

[5] Jun Zhang (张军), Yongping Pan and Jie Xu. “Compressive Sensing for Joint User Activity and Data Detection in Grant-Free NOMA,” IEEE Wireless Communications Lettersvol. 8, no. 3, pp: 857-860, 2019

[6] Zhi Liao, Jun Zhang* (张军)Dandan Hu, Cheng Li, Lin Zhu and Yuanqing Li. "Sparse Signal Reconstruction with Statistical Prior Information: A Data-Driven Method,IEEE Access, vol.7, pp:157037-157045, 2019 (*Corresponding Author)

[7] Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang (张军), Ling Cen, Srikantan Nagarajan and Yuanqing Li, “Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources based on Matrix Factorization,” IEEE Trans. Biomedical and Engineeringvol.66, no.9, pp: 2457 - 2469, 2019

[8] Jinhong Huang,Zhu Liang Yu,Zhenghui Gu,Jun Zhang (张军),Ling Cen,“Sparse and Heuristic Extreme Learning Machine for Classifer and Regressor Fusion,” International Journal of Machine Learning and Cyberneticsno.10, pp:3667–3686, 2019

[9] Jun Zhang (张军), Urbashi Mitra, GuanWen Huang and Nicolo Michelus. “Support recovery from noisy random measurements via weighted L1 minimization,” IEEE Trans. Signal Proc. vol.66, no.17, pp: 4527 – 4540, 2018

[10] Jun Zhang(张军), Zhuliang Yu, Ling Cen, Zhenghui Gu, Yuanqing Li and Zhiping Lin, “Deterministic Construction of Sparse Binary Measurement Matrix via Incremental Integer Optimization, Information Science, 430–431 (2018) , pp: 504–518, 2018

[11] Jun Zhang (张军), Zhuliang Yu, Zhenghui Gu, Yuanqing Li and Zhiping Lin. “Multichannel Electrocardiogram Reconstruction in Wireless Body Sensor Networks through Weighted ℓ1,2 Minimization,” IEEE Trans. Instrumentation and Measurement, vol. 67, no. 9, pp: 2024 – 2034, 2018

[12] Zhenghui Gu, Gang Yan, Jun Zhang*(张军), Yuanqing Li and Zhu Liang Yu. “Automatic Epilepsy Detection based on Wavelets Constructed from Data,” IEEE Access, vol. 6, pp: 53133-53140, 2018 (*Corresponding Author)

[13] Xiaofeng Xie,Zhu Liang Yu,Zhenghui Gu,Jun Zhang (张军),Ling Cen,Yuanqing Li, “Bilinerar Regularized Locality Preserving Learning on Riemannian Graph for Motor Imagery BCI,” IEEE Trans. Neural Systems and Rehabilitation Engineering, vol.26, no.3, pp: 698 – 708, 2018

[14] Y. Pan, J. Zhang (张军) and H. Yu, “Model reference composite learning control without persistency of excitation,” IET Control Theory and Applications, vol. 10, no. 16, pp: 1963-1971, 2016

[15] Jun Zhang (张军), Zhenghui Gu, Zhuliang Yu and Yuanqing Li, “Energy-Efficient ECG Compression on Wireless Biosensors via Minimal Coherence Sensing and Weighted L1 Minimization Reconstruction,” IEEE Journal of Biomedical and Health Informatics,vol.19, no.2, pp: 520-528, 2015

[16] Jun Zhang (张军),Guojun Han and Yi Fang, “Deterministic Construction of Compressed Sensing Matrices from Protograph LDPC Codes,” IEEE Signal Processing Letters, vol.22, no.11, pp: 1960-1964, 2015

[17] Jun Zhang (张军), Yuanqing Li, Zhuliang Yu et. al, “Recoverability Analysis for Modified Compressive Sensing with Partially Known Support,” PLoS ONE, vol.9, no.2, e87985, doi:10.1371/journal.pone.0087985, 2014

[18] Jun Zhang (张军), Zhuliang Yu, Yuanqing Li, Gordon Ning Liu and Zhenghui Gu, “Weighted regularized sparse recovery method for optical power monitoring,” IEEE Photonics Technology Letters, vol.24, no.1, pp: 55-57, 2012

[19] Jun Zhang (张军), Xieping Gao, Yuanqing Li. “Efficient Wavelet Networks for Function Learning Based on Adaptive Wavelet Neuron Selection,” IET Signal Process.  vol.6, no.2, pp: 79-90, 2012

[20] Jun Zhang (张军), Yuanqing Li, Zhuliang Yu and Zhenghui Gu. “Effect of Errors in Partially Known Support on the Recoverability of Modified Compressive Sensing、” EURASIP Journal on Advances in Signal Process., vol.2012, DOI: 10.1186/1687-6180-2012-199

[21] Jun Zhang (张军), Yuanqing Li, Zhuliang Yu and Zhenghui Gu. “Noisy sparse recovery based on parameterized quadratic programming by thresholding,” EURASIP Journal on Advances in Signal Process., vol.2011, Article ID 528734, 7 pages, DOI:10.1155/2011/528734

[22] Jun Zhang (张军), “A comparative study of non-separable wavelet and tensor-product wavelet in image compression,” CMES:Computer Modeling in Engineering & Science, vol.22, no.2, pp: 91-96, 2007

[23] Jun Zhang (张军), Urbashi Mitra, GuanWen Huang and Nicolo Michelus. “Support recovery from noisy random measurements via weighted L1 minimization,” 2016 IEEE International Symposium on Information Theory (ISIT 2016),Barcelona, Spain, 口头报告.

[24] Jun Zhang (张军), Yuanqing Li, Zhuliang Yu and Zhenghui Gu. “Sufficient conditions for sparse recovery by weighted ℓ1-constrained quadratic programming,” 2016 International Joint Conference on Neural Networks (IJCNN 2016),Vancouver, Canada,口头报告.

[25] Jun Zhang (张军), Zhenghui Gu, Yuanqing Li and Xieping Gao. “A sparse infrastructure of wavelet network for regression, ” 2010 International Symposium on Neural Networks (ISNN 2010), Shanghai, China, 口头报告.



知识产权:

[1] 张军、杜佳梦、邹晓瑜. “一种压缩感知的编解码方法、装置、设备及存储介质”,中国发明专利,实审(公开号:CN108199719A)

[2] 张军、杜佳梦. “一种抗丢包的压缩感知基音频流编解码方法及系统”,中国发明专利,实审(CN111404639A

[3] 张军、陈佳鑫. “一种随机置乱的确定性压缩感知测量装置及方法”,中国发明专利,实审



科研项目:

1. 国家自然科学基金(面上)项目,能量收集型物联网中基于压缩感知的能量优化调度方法研究、2020/01-2023/12、在研、主持。

2. 国家自然科学基金(青年)项目,面向无线体域网的压缩感知矩阵优化构造及性能分析、2015/01-2017/12、结题、主持。

3. 国家自然科学基金(青年)项目,面向结构健康监测的无源RFID标签天线智能感知关键技术研究、2018/01-2020/12、在研、参与。

4. 国家自然科学基金(面上)项目,医学图像的不同工作域下高性能及鲁棒可逆水印的深入研究、2016/01-2019/12、在研、参与。

5. 国家自然科学基金(青年)项目,T 波交替的时域检测及心脏猝死的危险分层预测研究、2010/01-2012/12、结题、参与。

6. 广东省自然科学基金(面上项目),基于压缩感知的能量收集型物联网能耗管理研究、2019/10-2022/09在研、主持。

7. 广东省自然科学基金(重点项目),多维多功能脑机接口算法与系统研究、2012/01-2017/12、结题、参与。

8. 广州市科技计划项目,基于压缩感知的移动互联网实时语音通信QoS关键技术研究、2018/04-2020/03,结题、主持

9. 广东高校优秀青年创新人才培养计划(育苗工程)项目,基于压缩感知的心脏CT重构方法研究、2012/12-2014/12、结题、主持


教学活动:讲授《计算机网络》、《网络编程》、《数据挖掘与融合技术》等本科生课程



教育经历

[1]   2008.9-2012.6

华南理工大学  |  模式识别与智能系统  |  工学博士学位

[2]   2002.9-2005.6

湘潭大学  |  计算机软件与理论  |  工学硕士学位

[3]   1998.9-2002.6

湘潭大学  |  计算机科学与技术  |  工学学士学位

工作经历

[1]   2015.2-2016.2

南加州大学  |  博士后研究员

[2]   2005.7-至今

广东工业大学  |  专任教师