联系方式

E-mail:yemang@whu.edu.cn

办公电话: 68775286

办公地点:E503

叶茫

武汉大学计算机学院 人工智能系 国家多媒体软件工程技术研究中心 教授

 叶茫

  • 姓名:叶茫

  • 主页:

  • 性别:

  • 职称:教授

  • 学历学位:博士

  • 电话:68775286

  • 办公地点:E503

  • E-mail:yemang ▇ whu.edu.cn 请手工替换符号

  • 领域:多媒体技术与大数据分析,计算机视觉,模式识别,人工智能

  • 招生信息:年度招收硕士0名,招收方向:。 招收博士2名,招收方向:计算机科学与技术。

研究方向

叶茫, 武汉大学计算机学院, 教授、博导。2019年于香港浸会大学(Hong Kong Baptist University, HKBU)获得博士学位,分别于2016年和2013年获武汉大学硕士和学士学位。2019-2020担任阿联酋起源人工智能研究院研究科学家。主要研究方向为计算机视觉,多媒体检索,人工智能,联邦学习,安防监控大数据分析等。目前,在在国际权威期刊和会议上发表高水平论文60余篇,其中第一/通讯作者发表CCF A类、中科院一区Trans学术论文20余篇。包括机模式识别、计算机视觉和机器学习应用顶级期刊IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),计算机视觉顶级学术会议(CVPR, ICCV, ECCV),人工智能顶级学术会议(IJCAI, AAAI),多媒体领域顶级会议(ACM MM)等。目前,谷歌学术引用 2300余次,H-index 25,其中6篇一作文章谷歌学术引用次数过百,4篇入选 ESI 高被引论文。相关成果得到了包括“深度学习之父”图灵奖获得者Geoffrey Hinton,Yann LeCun等多位中外院士的积极评价和引用。长期受邀担任人工智能领域相关顶级期刊(TPAMI、TIP、TIFS、TNNLS、TMM等)审稿人,并多次受邀成为顶级会议(CVPR, ICCV, ECCV, AAAI等)程序委员会成员(Program Committee Member),2019年担任人工智能顶级会议IJCAI分会主席(Session Chair)。作为主要组织者,组织了多媒体领域旗舰会议ICMR2020和ICME2021特别会议(Special Session)。获国际权威期刊Pattern Recognition Letters, Neurocomputing杰出审稿人等。2021年入选中国科协青年人才托举工程。

主持科研项目:

  1. 2022.01-2024.12 基于无监督学习的监控目标检索关键技术研究 湖北省重点研发计划 100万

  2. 2022.01-2025.12 面向复杂多变场景的行人重识别关键技术研究 国家自然科学基金(面上项目) 59万

  3. 2021.02-2022.12 目标检测、跟踪与识别 中国科协青年人才托举项目 45万

  4. 2020.12-2021.11 开放环境下视觉学习理论及其应用 首届中国人工智能学会-华为 MindSpore学术奖励基金(B类) 18万

  5. 2021.11-2022.10 基于异构联邦学习的智能数据分类算法与框架  CCF-绿盟科技“鲲鹏”科研基金 8万


荣誉奖项:

  1. 2021 计算视觉顶级会议ICCV多模态视频推理大赛行人重识别赛道 冠军

  2. 2021 中国科协青年人才托举工程

  3. 2019 Yakun Scholarship Scheme for Mainland Postgraduate Students

  4. 2016 Hong Kong PhD Fellowship

  5. 2015 谷歌优秀奖学金


英文主页:https://www.comp.hkbu.edu.hk/~mangye/

谷歌学术:https://scholar.google.com/citations?user=j-HxRy0AAAAJ&hl=en

DBLP:https://dblp.org/pid/156/0610.html


热烈欢迎计算机相关专业学生报考我组博士、硕士、博士后(年薪不低于30万),有科研兴趣的本科实习生,有意向者请发邮件:yemang@whu.edu.cn


教育背景

2009-2013 武汉大学         电子信息科学与技术   本科

2013-2016 武汉大学         通信与信息系统      硕士

2016-2019 香港浸会大学      计算机科学         博士


工作经验

2019-2020 阿联酋 起源人工智能研究院 研究科学家


教授课程

2021 认知过程的信息处理(本科)


发表论文

谷歌学术:https://scholar.google.com/citations?user=j-HxRy0AAAAJ&hl=en

DBLP:https://dblp.org/pid/156/0610.html

Selected Publciations:

  1. Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi.“Deep Learning for Person Re-identification: A Survey and Outlook”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. IF =17.9, CCF A 人工智能顶级期刊

  2. Mang Ye, Jianbing Shen, Xu Zhang, Pong C. Yuen, Shih-Fu Chang. “Augmentation Invariant and Instance Spreading Feature for Softmax Embedding”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. IF =17.9, CCF A 人工智能顶级期刊

  3. Mang Ye, Weijian Ruan, Bo Du, Mike Zheng Shou. “Channel Augmented Joint Learning for Visible-Infrared Recognition”, in IEEE International Conference on Computer Vision (ICCV), 2021. CCF A 计算机视觉顶级会议

  4. Mang Ye, Jianbing Shen. “Probabilistic Structural Latent Representation for Unsupervised Embedding”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. CCF A 计算机视觉顶级会议

  5. Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo. “Dynamic Dual-Attentive Aggregation Learning for VisibleInfrared Re-identification”, European Conference on Computer Vision (ECCV), 2020. CCF B 计算机视觉顶级会议

  6. Mang Ye, Xiangyuan Lan, Qingming Leng, Jianbing Shen. ”Cross-Modality Person Re-Identification via Modality-aware Collaborative Ensemble Learning”, IEEE Transactions on Image Processing (TIP) 2020. IF =9.3, CCF A 图像处理顶级期刊

  7. Mang Ye, Jianbing Shen, Ling Shao. ”Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning”, IEEE Transactions on Information Forensics and Security (TIFS) 2020. IF =6.0, CCF A 信息安全顶级期刊

  8. Mang Ye, Pong C. Yuen. “PurifyNet : A Robust Person Re-identification Model with Noisy Labels”, IEEE Transactions on Information Forensics and Security (TIFS) 2020. IF =6.0, CCF A 信息安全顶级期刊

  9. Mang Ye, Xu Zhang, Pong C. Yuen, Shih-Fu Chang. “Unsupervised Embedding Learning via Invariant and Spreading Instance Feature”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. CCF A  计算机视觉顶级会议

  10. Mang Ye, Jiawei Li, Andy J. Ma, Liang Zheng, Pong C. Yuen. “Dynamic Graph Co-Matching for Unsupervised Video-based Person Re-Identification”, in IEEE Transactions on Image Processing (TIP) 2019. IF =9.3, CCF A, ESI Highly Cited Paper 图像处理顶级期刊

  11. Mang Ye, Xiangyuan Lan, Zheng Wang, Pong C. Yuen. “Bi-directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification”, in IEEE Transactions on Information Forensics and Security (TIFS) 2019. IF =6.0, CCF A, ESI Highly Cited Paper  信息安全顶级期刊

  12. Qingming Leng∗, Mang Ye∗, Qi Tian. “A Survey of Open-World Person Re-Identification”, in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2019. (Co-first Author) IF =4.1, CCF B

  13. Mang Ye, Yi Cheng, Xiangyuan Lan, Hongyuan Zhu. “Improving Night-Time Pedestrian Retrieval with Distribution Alignment and Contextual Distance”, in IEEE Transactions on Industrial Informatics (TII) 2019. IF =9.1, SCI Q1, ESI Highly Cited Paper 中科院一区

  14. Mang Ye, Xiangyuan Lan, Qingming Leng.“Modality-awareCollaborative Learning for Visible ThermalPersonRe-Identification”, in ACM Multimedia Conference (ACM MM) 2019. CCF A  多媒体分析顶级会议

  15. Xiangyuan Lan, Mang Ye∗, Shengping Zhang, Huiyu Zhou, Pong C Yuen, “Modality-correlation-aware sparse representation for RGB-infrared object tracking”, in Pattern Recognition Letters (PRL) 2019. (Corresponding Author) IF =2.8, ESI Highly Cited
    Paper

  16. Mang Ye, Xiangyuan Lan, Pong C. Yuen. “Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild”, in European Conference on Computer Vision (ECCV) 2018. CCF B 计算机视觉顶级会议

  17. Mang Ye, Zheng Wang, Xiangyuan Lan, Pong C. Yuen. “Visible Thermal Person Re-Identification via Dual-Constrained TopRanking”, in International Joint Conference on Artificial Intelligence (IJCAI) 2018. CCF A 人工智能顶级会议

  18. Mang Ye, Xiangyuan Lan, Jiawei Li, Pong C. Yuen. “Hierarchical Discriminative Learning for Visible Thermal Person ReIdentification”, in Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018. CCF A 人工智能顶级会议

  19. Mang Ye, Andy J Ma, Liang Zheng, Jiawei Li, Pong C. Yuen. “Dynamic Label Graph Matching for Unsupervised Video ReIdentification”, in IEEE International Conference on Computer Vision (ICCV), 2017. CCF A 计算机视觉顶级会议

  20. Mang Ye, Chao Liang, Yi Yu, Zheng Wang, et al. “Person Re-identification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing”, in IEEE Transactions on Multimedia (TMM) 2019. IF =6.1, CCF B 多媒体领域权威期刊

  21. Mang Ye, Chao Liang, Zheng Wang, Qingming Leng, Jun Chen. “Ranking Optimization for Person Re-identification via Similarity and Dissimilarity”, in ACM Multimedia Conference (ACM MM), Short Paper, 2015. CCF A 多媒体领域顶级会议

  22. Mang Ye, Chao Liang, Zheng Wang, Qingming Leng, Jun Chen, Jun Liu. “Specific Person Retrieval via Incomplete Text Description”, in ACM International Conference on Multimedia Retrieval (ICMR), Short Paper, 2015. CCF B  多媒体领域旗舰会议


科研课题

主持科研项目:

  1. 2022.01-2024.12 基于无监督学习的监控目标检索关键技术研究 湖北省重点研发计划 100万

  2. 2022.01-2025.12 面向复杂多变场景的行人重识别关键技术研究 国家自然科学基金(面上项目) 59万

  3. 2021.02-2022.12 目标检测、跟踪与识别 中国科协青年人才托举项目 45万

  4. 2020.12-2021.11 开放环境下视觉学习理论及其应用 首届中国人工智能学会-华为 MindSpore学术奖励基金(B类) 18万

  5. 2021.11-2022.10 基于异构联邦学习的智能数据分类算法与框架  CCF-绿盟科技“鲲鹏”科研基金 8万


研究团队


知识产权


学术服务

Associate Editor:

  • Journal of Electronic Imaging


Special Session Co-Organizer/Chair :

  • ICME 2021 Special Session on “Deep Learning for Multimedia Applications with Limited Supervision”

  • ICMR 2020 Special Session on ”Human-Centric Cross-modal retrieval”.

  • IJCAI 2019 Special Session Chair.


Invited Reviewer/PC Member :

  • TPAMI, TIP, TIFS, TNNLS, TMM, TBIOM, PR, CVIU, IEEE Access, Neurocomputing, etc.

  • CVPR 2018 2019 2020 2021, ICCV 2019, ECCV 2020, AAAI 2020, ICME 2020, BMVC 2019, ACCV 2018, WACV 2020, ICPR 2018, etc.


Student Volunteer : ICCV 2017, IAPR/IEEE Winter School on Biometrics 2017.


成果展示


其他