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多维度人工智能团队  

多维度人工智能科研团队

一、团队/研究所简介

多维度人工智能科研团队由青年博士5人组成,团队负责人为姜晓燕。团队与德国耶拿大学、美国华盛顿大学、新加坡国立大学、澳大利亚西澳大学有着深入的合作关系。团队成员先后获得国家自然科学基金、上海市教委、上海市科委重点项目等资助,获得上海市科技人才计划项目“杨帆计划”两人。团队致力于计算机视觉、人工智能、复杂网络传播动力学、计算机网络、以及相关交叉领域的研究,并努力在等智能交通、生物医疗、工业检测等领域推进产业化。

二、团队负责人

姜晓燕,女,博士毕业于耶拿大学(德国)计算机科学与技术专业,现就职于上海工程技术大学电子与电气工程学院计算机系。上海工程技术大学青年五四奖章集体成员、上海市长宁区第四轮创新团队–智能视觉感知与信息处理创新团队核心成员、上海工程技术大学电子电气工程学院优秀教师。CCF会员。

研究课题包括多目标跟踪、域自适应行人重识别、语义分割、视觉SLAM、场景理解、智能交通。在相关领域发表论文30篇,其中SCI/EI20篇,包括Knowledge-Based Systems (KBS)Signal Processing: Image Communication (SPIC)Engineering Applications of Artificial Intelligence (EAAI)International Conference on Neural Information Processing (ICONIP)IEEE International Conference on Multimedia and Expo (ICME)等。为多个顶级国际会议与期刊的评审,如ICMETMMKBS等。International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE2019)的项目委员会成员、International Conference on Frontiers Technology of Information and Computer (ICFTIC2019)主旨报告。

主持国家自然科学基金(NSFC)青年项目1项、上海市教委项目1项,副主持上海市科委重点项目1项;作为核心成员参与NSFC重点及面上项目、上海市科委项目、上海飞机制造有限公司项目等多项,曾参与国家863项目1项;负责项目涉及视频监控、无人机桥梁巡检、智能交通、大型客机表面喷漆瑕疵检测、工业缺陷检测、胃癌淋巴结转移检测、眼震疾病诊断、心脏周期分析等;曾获德国DAAD、中国政府奖学金CSC资助。申请发明专利多项。邮箱:xiaoyan.jiang@sues.edu.cn.

三、团队主要成员

1.陈珏,男,计算机应用技术专业,工学博士,从事计算机网络相关教学和科研工作,主要研究方向为软件定义网络、计算机网络和网络协议。获上海市科技人才计划项目(扬帆计划);在国际期刊和会议上发表了论文多篇;同时担任多个国际期刊的审稿人,包括ACM Transactions on Cyber-Physical SystemsJournal of Circuits, Systems and Computers等。开设的课程有数字逻辑、多媒体技术等。邮箱:jadeschen@sues.edu.cn

2.熊玉洁,男,计算机应用技术专业,工学博士,讲师,从事计算机视觉相关教学和科研工作,主要研究方向为文档图像处理、生物特征识别和书写人识别。获上海市科技人才计划项目(扬帆计划);近年来在国际期刊和会议上发表了论文多篇;同时担任多个国际期刊的审稿人,开设课程有编译原理等。电子邮箱:xiong@sues.edu.cn

3.邱禧荷,女,新加坡国立大学机械工程博士,从事人工智能相关教学和科研工作,主要研究方向为智慧医疗、生物医学与计算机交叉研究。在国际期刊和会议上发表了论文5篇;开设课程有人工智能基础等。电子邮箱:qiuxihe@sues.edu.cn

4.陈姗姗,女,上海大学应用数学博士,澳大利亚西澳大学联培博士,从事复杂网络与大数据相关教学和科研工作,主要研究方向为复杂网络传播动力学,动力系统,生物数学等。近年来在国际期刊发表SCI论文3篇,开设课程有大数据导论,应用统计学等。电子邮箱:sschen1214@163.com

四、主要论文及专利成果

1.Yang Li and Xiaoyan Jiang* and Jenq-Neng Hwang. Effective Person Re-identification by Self-Attention Model Guided Feature Learning. Knowledge-Based Systems, 2019 (SCI, IF 5.101),一区.

2.Xiaoyan Jiang and Yongbin Gao and Zhijun Fang and Bo Huang. An End-to-end Human Segmentation by Region Proposed Fully Convolutional Network. IEEE Access. Vol. 7: 16395-16405, 2019 (SCI, IF 4.098),二区.

3.Y.-J. Xiong, L. Liu, S.-J. Lyu, Patrick S. P. Wang and Y. Lu, Improving text-independent Chinese writer identification with the aid of character pairs, International Journal of Pattern Recognition and Artificial Intelligence, (2019) 33(2) In press.

4.Jingming Zhao and Juan Zhang and Zhi Li and Jenq-Neng Hwang and Yongbin Gao and Zhijun Fang and Xiaoyan Jiang and Bo Huang. DD-CycleGAN: Unpaired image dehazing via Double-Discriminator Cycle-Consistent Generative Adversarial Network. Engineering Applications of Artificial Intelligence. 82:263-271. 2019 (SCI, IF 3.526),二区.

5.Xiaoyan Jiang and Zhijun Fang and Neal N. Xiong and Yongbin Gao and Bo Huang and Juan Zhang and Lei Yu and Patrick Harrington. Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks. IEEE Access. Vol. 6: 13716-13728, 2018 (SCI, IF 4.098),二区.

6.Chen J, Chen J, Ling J, et al. Link Failure Recovery in SDN: High Efficiency, Strong Scalability and Wide Applicability. Journal of Circuits Systems & Computers, 2018, 27(06):69-74. (SCI).

7.Xiaoyan Jiang and Marcel Simon and Yuan Yang and Joachim Denzler. Multi-Marker Tracking for Large-scale X-ray Stereo Video Data.Signal Processing: Image Communication. 59(2017): 140-1492017 (SCI, IF 2.814),三区.

8.Y.-J. Xiong, Y. Lu and P. S. P. Wang, Off-line text-independent writer recognition: a survey, International Journal of Pattern Recognition and Artificial Intelligence, (2017) 31(5): 1890-1903.

9.Yang Li and Xiaoyan Jiang* and Jenq-Neng Hwang. Discriminant Feature Learning with Self-Attention for Image-based Person Re-Identification. International Conference on Neural Information Processing (ICONIP), 2019. (EI, CCF C).

10.Anjie Wang and Yongbin Gao and Zhijun Fang and Xiaoyan Jiang* and Shanshe Wang and Siwei Ma and Jenq-Neng Hwang. Unsupervised learning of depth and ego-motion with spatial-temporal geometric constraints, IEEE International Conference on Multimedia and Expo (ICME), 2019. (EI, CCF B).

11.Chen J, Chen J , Ling J , et al. Failure recovery using vlan-tag in SDN: High speed with low memory requirement. Performance Computing & Communications Conference. IEEE, 2017:1-9. (EICCF-C).

12.Chen J, Chen J, Xu F, et al. When Software Defined Networks Meet Fault Tolerance: A Survey. Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2015:351-368. (EI, CCF-C).

13.Xiaoyan Jiang and Daniel Haase and Marco Körner and Wolfgang Bothe and Joachim Denzler. Accurate 3D Multi-Marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach. International Conference on Computer Analysis of Images and Patterns (CAIP). 2013.8. 117—125. York, UK.Oral(EI).

14.Y.-J. Xiong and Y. Lu, Chinese writer identification using contour- directional feature and character pair similarity measurement, in Proceedings of the International Conference on Document Analysis and Recognition, (2017) pp. 119124.

15.Y.-J. Xiong and Y. Lu, Off-line text-independent writer identification for Chinese handwriting, Advances in Chinese document and text processing, Series on language processing, pattern recognition, and intelligent systems, (2017) pp. 215-234.

16.Xihe Qiu and Poon Nian Lim and Shi Yun Tong and Eng San Thian. Deposition of Substituted Apatite Coatings at Different Coating Patterns via Drop-on-Demand Micro-Dispensing Technique. Materials Technology, 33 (6) 406-413. (SCI, IF 3.179).

17.Xihe Qiu and Poon Nian Lim and Eng San Thian. A Comparative Study on the In-vitro Antibacterial Behaviour of Chemically-Modified Calcium Phosphate Coatings. Materials Technology, 2018 (SCI, IF 3.179).

18.Chen S, Wang K, Sun M, et al. Spread of competing viruses on heterogeneous networks.[J]. Philosophical Transactions of the Royal Society A Mathematical Physical & Engineering Sciences, 2017:20160284. (Awarded as the best student paper of The 13th National Conference on Complex Networks).

19.Chen S, Small M, Tao Y, Fu X, Transmission dynamics of an SIS model with age structure on heterogeneous networks, Bulletin of Mathematical Biology. 2018, 80:8, 2049-208.

20.Chen S, Small M, Fu X, Global stability of epidemic models with imperfect vaccination and quarantine on scale-free networks. IEEE Transactions on Network Science and Engineering, 2019, 2327-4697.

四、主要项目成果

团队注重科技研发的同时,积极推进人工智能技术的产业化。与各行业企业开展产学研合作,以5G + AI为未来模式,在智能交通、三维场景建模、视频监控、瑕疵巡检、智慧医疗等方面取得多项成果。主要成果如下:

    成果1:智慧交通——车载端智能违章压线检测

            特点:灵活、无需事先标定、全城覆盖

a)复杂背景、黑暗桥梁底违章压线检测

b)阴天违章压线检测

c)雨天违章压线检测

  

    成果2三维场景定位与地图构建/道路语义分割/深度图估计/三维立体检测

            特点:对场景进行三维重建与深度距离测量,获取三维语义信息

a)场景即时定位与三维地图构建SLAM

b)场景语义分割

c)场景深度图估计

d)物体三维检测

  

    成果3视频监控——跨相机多目标(行人/车)跟踪

            特点:跨相机行人重识别与跟踪

a)跨相机多目标跟踪

b)跨相机行人重识别

c)跨相机多车跟踪

d)姿态识别

  

    成果4工业检测

    (1)工业检测——智能SC端子状态图像识别

        特点:智能光纤端子使用状态检测

  

    (2)工业检测——铝垫圈不良检测

>

a)铝垫圈表面压伤

>

b)铝垫圈表面有贯穿伤

c)铝垫圈冲压处变形

d)铝垫圈外径有缺料

e)后座表面有色斑

  

    (3)工业检测——大型客机表面缺陷检测(涉密)

图片包含 天空, 平面, 航空器, 放飞  描述已自动生成

客机表面示意图

  

    (4)工业检测——基于无人机视觉SLAM的桥梁巡检

五、团队活动

1.学术活动

2019921日,应AEIC组委会邀请,团队负责人姜晓燕博士前往大连参加International Conference on Frontiers Technology of Information and Computer会议,并做主旨报告。

2016812日,团队负责人姜晓燕博士参加中韩学术交流研讨会(2016 The Summer Workshop),并做交流报告,引起强烈反响。