姓 名 邹亮 性 别 男
出生年月 1987年8月 籍贯 安徽 阜阳
民 族 汉族 政治面貌 中共党员
最后学历 博士研究生 最后学位 哲学博士
技术职称 副教授 导师类别 硕导
行政职务 Email liangzou@ece.ubc.ca
工作单位 中国矿业大学 邮政编码 221116
通讯地址 大学路1号
单位电话 **
个人主页 NA


个人简介
邹亮，中共党员，博士，副教授，1987年8月生，师从加拿大工程院院士、IEEE Fellow Z. Jane Wang教授，于2017年9月博士毕业于加拿大不列颠哥伦比亚大学并留校从事博士后研究，期间参与了加拿大自然科学与工程研究委员会基金等多个研究项目，2019年4月入职中国矿业大学信控学院，主要从事人工智能和统计信号处理等方向的研究。目前已发表SCI/EI论文30余篇，被引400余次，申请国家发明专利与软件著作权4项。目前担任国际学术期刊编委/客座编委 (Frontiers in Neuroscience，Journal of Healthcare Engineering等)，10余个国际顶级期刊审稿人（IEEE TSP，IEEE JBHI，IEEE TSMCS等），多个学术会议(EI检索)技术委员会委员(KDBD2020，ICCSE2018，IWCMC2017等)，担任国家自然基金及多个省级科研项目评审专家。
国际学术期刊编委/客座编委：Journal of Healthcare Engineering,Current Chinese Computer Science， Frontiers in neuroscience
国际学术会议(EI检索)技术委员会委员: KDBD 2020，ICCSE2018, ICAA2018, SNCC2017, IWCMC2017等
国际SCI期刊审稿人: IEEE TSP, IEEE TCASII, IEEE TSMCS, IEEE ACCESS, IEEE SPL等
研究兴趣：智能信息处理与深度学习，机器学习，计算机视觉等
欢迎有志科研，具备较好数学/编程基础的同学报考我的研究生。（CET4>450分）

联系方式：** （微信同号）
Email：liangzou@cumt.edu.cn


获奖、荣誉称号
安徽省优秀毕业生
研究生国家奖学金

社会、学会及学术兼职
国际学术期刊编委/客座编委：Journal of Healthcare Engineering,Current Chinese Computer Science
国际学术会议(EI检索)技术委员会委员: ICCSE2018, ICAA2018, SNCC2017, IWCMC2017等
国际SCI期刊审稿人: IEEE TCASII, IEEE TSMCS, IEEE ACCESS, IEEE SPL等
温哥华地区公派学生****联谊会主席 （2014/10-2017/10）

研究领域
智能信号处理
人工智能

科研项目
1.生理信号的欠定联合盲源分离研究 （国家自然科学基金）
2. 面向生理信号的欠定联合盲源分离关键技术研究 （江苏省自然科学基金）
3.高通量煤质数据的特征信息捕捉及其建模中的关键技术研究 （中央高校基本科研业务费专项资金）
4. 基于机器学习的音谱转换方法研究 （Google 产学合作专业综合改革项目）

发表论文
1. [IEEE J. ] L Zou, X Chen, G Dang, Y Guo, ZJ Wang, Removing Muscle Artifacts from Simulated EEG data via Underdetermined Joint Blind Source Separation, IEEE Transactions on Circuits and Systems—II: Express Briefs, 2019, DOI: 10.1109/TCSII.2019.**.
2. [IEEE J. ] M Lei, Z Rao, M Li, X Yu, L Zou∗, Identifcation of Coal Geographical Origin Using Near Infrared Sensor Based on Broad Learning, Applied Sciences, 2019, 9.
3. [MDPI J. ] Z Yu, A Li, L Zou∗, X Sun, M Wang, P Zha. Integrated Modeling of GC-Content, Mappability, Tumor Impurity and Aneuploidy for Accurate Detection of Genomic Aberrations, IEEE
Access, 2018, 6, 64096-64106.4. [IEEE J. ] C Peng, L Zou, DS Huang. Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion, IEEE Access, 2018, 6, 59152-59162.
5. [IET J. ] J Zheng, L Zou∗, ZJ Wang. Mid-level deep food part mining for food image recognition, IET Computer Vision, 2018, 12-3, 298-304.
6. [IEEE J. ] L Zhao, Z Chen, Y Yang, L Zou, ZJ Wang. ICFS Clustering With Multiple Representatives for Large Data, IEEE transactions on neural networks and learning systems, 2018 (Accpted).
7. [Springer J. ] X Jin, Y Su, L Zou, C Zhang, P Jing, X Song. Video logo removal detection based on sparse representation, Multimedia Tools and Applications, 2018, 77-22, 29303-29322.
8. [IEEE J. ] X Jin, Y Su, L Zou, Y Wang, P Jing, ZJ Wang. Sparsity-Based Image Inpainting Detection via Canonical Correlation Analysis With Low-Rank Constraints, IEEE Access, 2018, 49967-49978.
9. [Elsevier J. ] X Wang, Y Ma, Y Cheng, L Zou, J Rodrigues. Heterogeneous Domain Adaptation Network based on Autoencoder. Journal of Parallel and Distributed Computing, 2018, 117, 281-291.
10. [MDPI J. ] L Zou, C Ge, Z Wang, E Cretu, X Li, Novel tactile sensor technology and smart tactile sensing systems: A review, Sensors, 2017, 17-11, 2653.
11. [Nature J. ] Y Hu, L Zou, X Lu. Detection and quantifcation of o?al content in ground beef meat using vibrational spectroscopic-based chemometric analysis, Scientifc Reports, 2017, 7 (1), 15162.
12. L Zou, J Zheng, MJ McKeown. Deep learning based automatic diagnoses of attention defcit hyperactive disorder, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP),
2017.
13. [IEEE J. ] L Zou, J Zheng, C Miao, M J. McKeown, Z. J Wang. 3D CNN based Automatic Diagnosis of Attention Defcit Hyperactivity Disorder Using Functional and Structural MRI, IEEE ACCESS, 2017, 5, 23626-23636.
14. [Springer J. ] X Chen, A Liu, Q Chen, Y Liu, L Zou, M J. McKeown. Simultaneous Ocular and Muscle Artifact Removal from EEG Data by Exploiting Diverse Statistics. Computers in Biology and Medicine, 2017, 88:1-10.
15. [IEEE J. ] L Zou, X Chen, X Ji, Z. J Wang. Underdetermined Joint Blind Source Separation of Multiple Datasets, IEEE ACCESS, 2017, 5, 7474-7487.
16. [MDPI J. ] A Servati, L Zou, Z. J Wang, F Ko, P Servati. Novel Flexible Wearable Sensor Materials and Signal Processing for Vital Sign and Human Activity Monitoring, Sensors, 2017, 17-7, 1622.
17. L Zou, Z. J Wang, X Chen, et al. Underdetermined joint blind source separation based on tensor decomposition, IEEE CCECE 2016.
18. [IEEE J. ] L Zou, X Chen, Z. J Wang. Underdetermined Joint Blind Source Separation for 2 datasets based on Tensor Decomposition, IEEE Signal Processing Letters, 2016, 23-5, 673-677.
19. [IEEE J. ] L Zou, X Chen, A Servati, P Servati, Z. J Wang. A Blind Source Separation Framework for Monitoring Heart Beat Rate using Nanofber based Strain Sensors, IEEE Sensors Journal, 2015, 16-3, 762-772.
20. [RSC J. ]X Xu, A Li, L Zou, Y Shen, W Fan, M Wang. Improving the performance of protein kinase identifcation via high dimensional protein–protein interactions and substrate structure data, Molecular BioSystems, 2014, 10-3: 694-702.
21. L Zou, X Chen, Z. J Wang et al. A heart beat rate detection framework using multiple nanofber sensor signals, IEEE ChinaSIP 2014.
22. [BMC J. ] L Zou, M Wang, Y Shen, J Liao, A Li, M Wang. PKIS: Computational Identifcation of Protein Kinases for Experimentally Discovered Protein Phosphorylation Sites, BMC Bioinformatics, 2013, 14:247.
23. C Peng, L Zou, M Wang et al. Construction and analysis of human phosphorylation network, IEEE BMEI 2012.
24. X Xu, Y Zhang, L Zou, et al. A gene signature for breast cancer prognosis using support vector machine, IEEE BMEI 2012.
25. [Springer J. ] L Zou, Q Huang, A Li, M Wang. A genome-wide association study of Alzheimer’s disease using random forests and enrichment analysis, Sci China Life Sci, 2012, 55-7: 618–625.

教学活动
2019.09-2020.01 研究生课程《机器学习》，《模式识别与人工智能》

指导学生情况
指导学生：吴修文获得教育部-Google产学合作协同育人项目
指导学生：张茂仪获得中国矿业大学优秀本科毕业设计