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智能信息处理与应用  

智能信息处理与应用科研团队


一、团队简介

智能信息处理与应用科研团队由教授、青年博士8人组成，团队负责人为韩华。致力于模式识别、机器学习、人工智能等领域的研究。近年来，团队成员先后获得国家自然科学基金、上海市自然科学基金、上海市教育委员会和上海市教育发展基金会“晨光计划”等众多项目的资助。团队成员每年在IEEE Internet of Things Journal、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Systems, Man and Cybernetics: Systems、IEEE Transaction on Circuits and Systems for Video Technology、IEEE/CAA Journal of Automatica Sinica等期刊发表多篇论文。

二、团队负责人

韩华，博士，教授，晨光学者，IEEE高级会员，曾在New Jersey Institute of Technology从事博士后研究工作。目前主要研究领域包括目标识别与跟踪研究，行人重识别，智能计算等。担任EEE Transactions on Intelligent Transportation Systems副编辑，并担任IEEE Internet of Things Journal、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Systems, Man and Cybernetics: Systems、IEEE Transactions on Automation Science and Engineering、IEEE/CAA Journal of Automatica Sinica等多本国内外学术期刊审稿人。目前发表学术论文60余篇，其中SCI/EI检索论文40篇。授权国家发明专利8项，实用新型专利3项，软件著作权3项，出版英文专著1本。主持参与国家自然科学基金2项，上海市自然科学基金3项，上海市教育委员会和上海市教育发展基金会“晨光计划”1项。

三、团队主要成员

1.赵晓丽

工学博士，副教授，硕士研究生导师。CCF和ACM会员。曾于2014.9-2015.9在美国加州大学圣巴巴拉分校计算机科学系 four eyes实验室做高级访问学者，导师为计算机视觉方面的专家Matthew Turk。近年来主持和参与国家自然科学基金项目3项；科技创新2030-“新一代人工智能”重大项目课题四执行人；上海市科委“科技创新行动计划”1项，上海市一流课程1项；横向项目若干项。担任若干期刊审稿人。第一作者（通讯作者）发表学术论文10余篇，其中SCI 论文10余篇，EI期刊论文5篇，其他核心期刊论文若干篇。

  1. 商习武

工学博士，加拿大西蒙弗雷泽大学联合培养博士，北京大学访问学者，主要研究方向为视频编解码、多媒体信息处理。主持国家自然科学基金青年基金、上海市教委等多个项目，参与国家重点研发计划、面上及企业横向项目等。参与中国音视频编解码标准AVS制定，提交十余项提案，发表多媒体领域国际著名会议与期刊二十余篇，包括TCSVT,TMM,ICME等。担任包括TIP,TCSVT,TMM在内的多个国际学术期刊审稿人。

3.黄丽

博士，讲师，硕士生导师，东华大学本硕博，美国新泽西理工学院联合培养博士生。现主持国家自然科学基金青年项目1项、上海高校青年教师培养资助计划重点推荐项目1项。主要研究方向为机器人学与智能系统、智能优化算法等，发表论文10余篇，其中以第一作者发表SCI一区论文4篇。

四、主要论文及专利成果


  1. Li Huang, M. Zhou, K. Hao and H. Han, Multirobot Cooperative Patrolling Strategy for Moving Objects, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 5, pp. 2995-3007, May 2023.

  2. Xiwu Shang, Guozhong Wang, Jie Liang, Xiaoli Zhao, Hua Han and Yifan Zuo, Color-Sensitivity-Based Rate-Distortion Optimization for H.265/HEVC, IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 2, pp. 802-812, 2022.

  3. Xiwu Shang, Guoping Li, Xiaoli Zhao, Yifan Zuo, Low complexity inter coding scheme for Versatile Video Coding (VVC), Journal of Visual Communication and Image Representation, 90:103683, 2023.

  4. A.A.M.Muzahid, Wan Wanggen, Ferdous Sohel, Mohammed Bennamoun, Li Hou, Hidayat Ullah, Progressive conditional GAN-based augmentation for 3D object recognition, Neurocomputing, 473(2022): 20-30, 2022.

  5. Hua Han, Wenjin Ma, Mengchu Zhou, Qiang Guo, and Abusorrah Abdullah,  A Novel Semi-supervised Learning Approach to Pedestrian Re-Identification, IEEE Internet of Things Journal, vol. 8, no. 4, pp. 3042-3052, Feb, 15, 2021.

  6. Muzahid, A.A.M. M, Wan, Wanggen, Sohel, Ferdous, Wu, Lianyao, Hou, Li, CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition, IEEE/CAA Journal of Automatica Sinica, 8(6): 1177-1187, 2021.

  7. Hua Han, Mengchu Zhou, Xiwu Shang, Wei Cao, Abdullah Abusorrah, KISS+ for Rapid and Accurate Pedestrian Re-identification, IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 1, pp. 394-403, Jan, 2021.

  8. Hua Han, Mengchu Zhou, Yujin Zhang, Can Virtual Samples Solve Small Sample Size Problem of KISSME in Pedestrian Re-identification of Smart Transportation?, IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 9, pp. 3766-3776, Sep, 2020.

  9. Li Huang, Y. Ding, M. Zhou, Y. Jin and K. Hao, Multiple-Solution Optimization Strategy for Multirobot Task Allocation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 11, pp. 4283-4294, 2020.

  10. Li Huang, M. Zhou and K. Hao, "Non-dominated Immune-endocrine Short Feedback Algorithm for Multi-robot Maritime Patrolling," IEEE Transactions on Intelligent Transportation Systems. vol. 21, no. 1, pp. 362-373, 2020.

  11. Xiwu Shang, Jie Liang, Guozhong Wang, Haiwu Zhao, Chengjia Wu, Chang Lin, Color-Sensitivity-based Combined PSNR for Objective Video Quality Assessment, IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), 29(5), pp. 1239-1250, 2019.

  12. Xiwu Shang, Haiwu Zhao, Guozhong Wang, Yifan Zuo, A novel quality assessment method for transcoded videos from H.264/AVC to H.265/HEVC utilizing probability theory, IEEE Transactions on Broadcasting（TBC）, 65(4), pp. 777-781, 2019.

  13. Li Huang, M. C. Zhou, K. R. Hao, and E. Hou, “A survey of multi robot regular and adversarial patrolling,”  IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 4, pp. 865-874, July 2019.

[14]Xiaoli Zhao*, Jenq-Neng Hwang, Zhijun Fang, Guozhong Wang. Gradient-based adaptive particle swarm optimizer with improved extremal optimization. Applied Intelligence，48(12): 4646-4659，2018.

[15] Xiaoli Zhao*, Matthew Turk, Wei Li, Kuo-chin Lien, Guozhong Wang. A multilevel image thresholding segmentation algorithm based on 2D K-L divergence and modified particle swarm optimization.Applied Soft Computing, 6, 48: 151-159, 2016.