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    郑亚莉

    • 副教授 硕士生导师
    • 毕业院校 : 重庆大学
    • 学历 : 博士研究生毕业
    • 学位 : 工学博士学位
    • 所在单位 : 自动化工程学院

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    个人简介

    电子科技大学自动化工程学院模式识别方向副教授,硕士生导师,IEEE会员,中国图像图形学会会员2012年博士毕业于重庆大学计算机视觉与模式识别方向。2008年10月至2011年9月在美国卡内基梅隆大学进行博士生联合培养,从事三维视觉重建等方面的研究。现任电子科技大学自动化工程学院专任教师,创办视觉检测与学习实验室。主要研究兴趣包括非刚性目标重建与匹配,电子工业视觉检测及其应用。先后主持国家自然科学基金青年项目1项,面上项目1项,中国博士后基金面上项目一等资助1项,中央高校资助1项。曾经在CVPR,ICPR,Neurocomputing等国际会议上和知名期刊上发表包括SCI/EI收录学术论文10余篇,申请国家发明专利10余项。


    主要研究方向

    计算机视觉(Computer Vision);

    模式识别(Pattern Recognition);

    机器学习(Machine Learning);


    科研项目

     1)自然场景下三维人体形状重建的生成对抗学习研究,国家自然科学基金面上项目,61971106,主持,2020/01-2023/12,59万,立项;

     2)面向长序列的人体关节运动基元学习及其重建,国家自然科学基金青年项目,61603077,主持,2017/01-2019/12,18万,在研;

     3)云脑机器人的室内三维视觉定位与地图构建,中国博士后基金面上一等资助,2016M600732,主持,2016/11-2018/10,8万,已结题;

     4)人体运动三维重构的结构稀疏建模研究,电子科技大学中央高校基本科研业务费项目,ZYGX2015J076,主持,2016/01-2017/1210万,已结题;

     5)自动布线系统预研项目,横向,主持,2019/01-2019/12,10万,在研。


    讲授课程

    研究生课程:机器学习(0608117010),2018-2019春(与郭宏亮副教授合上)

    本科生课程:人工智能(H0620520.05),2015-2017秋,2019秋;

            微处理器系统结构与嵌入式系统(E0634850.04),2019春;

            计算机软件基础(F0600420.03),2017,2019春;


    本实验室长期招收高年级本科生、硕士,欢迎有志于科研的优秀研究生加入特别是具有良好的编程能力,曾有过C/C++/python/Java/JSP等之一的编程经验,自律性强的全日制和非全日制研究生。实验室将根据贡献程度,为全日制研究生提供科研补贴和项目奖励,并提供参加国内、国际学术会议的交流机会;为非全日制研究生提供住宿和科研补贴,并根据贡献程度提供实验室奖学金。

    欢迎具有浓厚的科研兴趣,希望从事理论或实际工程研究的同学将简历发至zhengyl@uestc.edu.cn。


    Associate professor/master supervisor, IEEE member. She received her PhD. Degree from Chongqing University in 2012. She was doing research on Computer Vision at Robotics Institute in Carnegie Mellon University as visiting PhD. student from Oct. 2008 to Sep. 2011. Now she is the founder of Vision Measurement and Learning Lab in School of Automation Engineering. Her research interests include some fundemental problems in Computer vision, Patter recogntion and Machine learning, especially in non-rigid object reconstruction, graph matching, and Multi-view geometry and its application in electronic industry. Her works were published on the conference of CVPR, ICPR, and Journals of Neurocomputing and et al.  


    Research interests:

         Computer Vision;

         Pattern Recogntion;

         Machine Learning;


    Selected Publications:

    (1) Yali Zheng, Shinan Chen, Hong Cheng, Yang Wang, Real-time Cloud Visual SLAM for Indoor Service Robots (Under review)

    (2) Yangguang Huang, Lili Pan, Yali Zheng, Mei Xie: Mixture of Deep Regression Networks for Head Pose Estimation, International Conference on Image Processing, 2018. (EI)

    (3) Yali Zheng, Peipei Luo, Hong Cheng, Visual Search Based Indoor Localization in Low Light via RGB-D Camera, International Journal of Computer and Information Engineering, 2017(11).

    (4) Yali Zheng, Yuan Yan Tang, Hong Cheng, Bin Fang, Taiping Zhang, Quadratic Modeling of Wheeled Moving Platforms on Planes, IEEJ Transaction on Eletronics, Information and Systems, 2016. (SCI)

    (5) Pengfei Wang, Yali Zheng, Hong Cheng, Nan Zhou, Yuan Yan Tang, Multi-subgraph Matching for Logo Localization Using Genetic Algorithm, IEEE International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), 2016. (EI)

    (6) Nan Zhou, Hong Cheng, Yali Zheng, Unsupervised Feature Selection by Nonnegative Sparsity Adaptive Subspace Learning, IEEE International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), 2016. (EI)

    (7) Taiping Zhang, Pengfei Ren, Yao Ge, Yali Zheng, Yuan Yan Tang, C. L. Philip Chen, Learning Proximity Relations for Feature Selection. IEEE Trans. Knowledge Data Engeering. 28(5): 1231-1244, 2016. (SCI)

    (8) Lili Pan, Qiangsen He, Yali Zheng, Mei Xie, Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation. IEICE Transactions 98-D(12): 2349-2352, 2016. (SCI)

    (9) Yanli Ji, Hong Cheng, Yali Zheng, Haoxin Li, Learning contrastive feature distribution model for interaction recognition. Journal Visual Communication and Image Representation, 2015(33): 340-349. (SCI)

    (10) Yuzhuo Wang, Hong Cheng, Yali Zheng, Lu Yang: Face Recognition in the Wild by Mining Frequent Feature Itemset. CCPR (2) 2014: 331-340. (EI)

    (11) Yali Zheng, Hong Cheng, Yuan Yan Tang, Bin Fang, Taiping Zhang, Optimized Trajectory Recovery of On-road Vehicles from Monocular Videos with Multiple Constraints, IEEJ Transaction on Eletronics, Information and Systems, 2014(3). (SCI)

    (12) Yali Zheng, Shohei Nobuhara, and Yaser Sheikh, Structure from Motion Blur in Low Light, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (EI)


    Funding

    (1) Generative adversarial learning for 3D human shape generation in natural scenarios, NSFC, PI,01/2020-12/2023, ¥590K.

    (2) Bases learning and reconstruction of human joint motion from long-term sequences, NSFC for young scientists, PI, 01/2017-12/2019, ¥180K.

    (3) Vision-based indoor localization and mapping for robots with cloud-brain,First-class support from China Postdoctoral Science Fundation (CPSF), PI, 11/2016-10/2018, ¥80K.

    (4) Structured-sparsity modeling for 3D Human motion reconstruction, University of Electronic Science and Technology, PI, 01/2016-12/2017, ¥100K.

    (5) Pre-research Project for auto routing, JUJN Corp., PI, 01/2019-12/2019, ¥100K


    Teaching Class

    For Graduated students:

            Machine learning (0608117010), 2018-2019 Spring (In collaboration with Dr. Hongliang Guo)

    For undergraduates:

            Artificial Inteligence (H0620520.05),2015-2017, 2019 Fall;

            Microprocessor system structure and embedding system (E0634850.04),2019 Spring; 

            Fundamentals of Computer Software (F0600420.03),2017,2019 Spring;


    I am currently looking for graduate and undergraduate students with strong self-motivation, specially students with great C++\Python programming skill and good programming experience. Please contact me via email (zhengyl@uestc.edu.cn) for details about available positions.         

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