张乐飞 (武汉大学计算机学院 计算机科学系 人工智能研究所 )

 张乐飞
  • 姓名:   张乐飞
  • 主页:  https://sites.google.com/site/lzhangpage/
  • 性别:  
  • 职称:  教授 (博导)
  • 学历学位:  博士
  • 电话:  +86-27-68772208
  • 办公地点:  E507
  • E-mail:  zhanglefei ▇ whu.edu.cn 请手工替换符号
  • 领域:  多媒体技术与大数据分析,机器学习与智能交互,计算机视觉,计算机应用,模式识别,人工智能
  • 招生信息:  年度招收硕士2名,招收方向:。 招收博士1名,招收方向:。

张乐飞,博士,武汉大学计算机学院人工智能系副主任、教授、博士生导师,中国研究生人工智能创新大赛优秀指导老师。从事模式识别、图像处理、计算机视觉等方向的研究,以第一/通讯作者发表SCI期刊论文27篇和CCF A类会议论文11篇。研究成果被8位中国科学院/工程院院士和99位IEEE会士等同行专家引用,谷歌学术总引用5200次,h-指数33,入选ESI热点论文3篇、ESI高被引论文13篇。主持国家自然科学基金项目4项,获湖北省自然科学一等奖2次。担任Pattern Recognition副编辑和ICME领域主席等。

 

教授课程:

《机器学习与模式识别》 (2021)

《机器学习》 (2020, 2018)

《模式识别》 (2019, 2018, 2017)

国际学术服务:

Associate Editor, Pattern Recognition

Associate Editor, IET Image Processing

Associate Editor, IEEE Geoscience and Remote Sensing Letters

Associate Editor, Neural Processing Letters

Editorial Board Member, Information Fusion

Editorial Board Member, Remote Sensing

Guest Editor, Remote Sensing (2021, 2020)

Guest Editor, IEEE Geoscience and Remote Sensing Letters (2019)

Area Chair: ICME (2021)

Senior PC Member: IJCAI (2021, 2020), ICME (2020)

PC Member: NeurIPS (2020), ICLR (2021), CVPR (2021, 2020), AAAI (2021, 2020, 2019, 2018, 2017), IJCAI (2019, 2018, 2017, 2016), ICME (2019, 2018), KDD (2021, 2020, 2019, 2018), ICDE (2020), ICDM (2020, 2019, 2018, 2017), CIKM (2019), IGARSS (2021, 2020, 2019, 2018, 2017, 2016)

Google学术:https://scholar.google.com/citations?user=BLKHwNwAAAAJ

DBLP:https://dblp.org/pers/hd/z/Zhang:Lefei


代表论文:

L. Zhang, L. Song, B. Du, and Y. Zhang, "Nonlocal Low-Rank Tensor Completion for Visual Data", IEEE TCyber, 2021. [SCI一区期刊]

N. Wang, Y. Zhang, and L. Zhang, "Dynamic Selection Network for Image Inpainting," IEEE TIP, 2021. [CCF A类期刊]

L. Gao, L. Zhang, and Q. Zhang, "Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation," in Proc. AAAI, 2021. [CCF A类会议]

J. Ma, Y. Zhang, and L. Zhang, "Discriminative Subspace Matrix Factorization for Multiview Data Clustering," PR, 2021. [CCF B类期刊]

L. Song, Y. Xu, L. Zhang, B. Du, Q. Zhang, and X. Wang, "Learning from Synthetic Images via Active Pseudo-Labeling", IEEE TIP, 2020. [CCF A类期刊]

M. Lan, Y. Zhang, Q. Xu, and L. Zhang, "E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation", in Proc. IJCAI, 2020. [CCF A类会议]

J. Li, N. Wang, L. Zhang, B. Du, and D. Tao, "Recurrent Feature Reasoning for Image Inpainting", in Proc. CVPR, 2020. [CCF A类会议]

M. Lan, Y. Zhang, L. Zhang, and B. Du, "Global Context Based Automatic Road Segmentation Via Dilated Convolutional Neural Network", INS, 2020. [CCF B类期刊]

N. Wang, S. Ma, J. Li, Y. Zhang, and L. Zhang, "Multistage Attention Network for Image Inpainting", PR, 2020. [CCF B类期刊]

L. Song, C. Wang, L. Zhang, B. Du, Q. Zhang, C. Huang, and X. Wang, "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", PR, 2020. [CCF B类期刊]

J. Li, F. He, L. Zhang, B. Du, and D. Tao, "Progressive Reconstruction of Visual Structure for Image Inpainting," in Proc. ICCV, 2019. [CCF A类会议]

N. Wang, J. Li, L. Zhang, and B. Du, "MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting," in Proc. IJCAI, 2019. [CCF A类会议]

J. Ma, Y. Zhang, L. Zhang, B. Du, and D. Tao, "Pseudo Supervised Matrix Factorization in Discriminative Subspace," in Proc. IJCAI, 2019. [CCF A类会议]

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