张磊
时间:2024-04-06 01:38 来源: 作者: 点击:次
个人经历 personal experience 工作经历 教育经历 2022年03月-至今 西北工业大学计算机学院计算机信息工程系,主任2020年09月-至今 西北工业大学计算机学院,教授2019年02月-2020年09月 阿联酋起源人工智能研究院 (Inception Institute of Artificial Intelligence, IIAI),研究科学家(Research Scientist)2017年08月-2019年01月 澳大利亚阿德莱德大学机器学习澳洲研究院(Australian Institute for Machine Learning, AIML), 研究员(Research Staff) 2012年09月-2018年06月 西北工业大学,博士2015年01月-2017年07月 澳大利亚阿德莱德大学(University of Adelaide),博士联合培养2008年09月-2012年07月 西北工业大学,学士 教育教学综合介绍 General Introduction 教授,博士生导师,国家级青年人才,中国科协“青托”人才、陕西省青年人才、西北工业大学翱翔青年、翱翔海外学者计划,主要从事图像处理和机器学习领域的教学、科研工作。近年来在计算机视觉领域的顶级期刊、会议如IJCV,IEEE TIP, IEEE TGRS,IEEE TNNLS,IEEE TCSVT,IEEE TCI,CVPR,ICCV,AAAI,ECCV,ICME等发表论文90余篇;2019年获得CSIG优秀博士论文奖、陕西省优秀博士论文奖和IEEE ICOT优秀论文奖。指导学生多次获得CVPR国际挑战赛优胜;先后担任IEEE TPAMI、IJCV、IEEE TCB, IEEE TIP,IEEE TNNLS, IEEE TGRS, IEEE TMM,CVPR、ICCV、ICLR、NeurIPS、ECCV、ICME等20个本领域期刊、会议的审稿人。 个人相册 荣誉获奖教育教学 Education and teaching 招生信息 诚挚邀请热爱计算机视觉、遥感图像处理、机器学习及人工智能前沿方向的青年学子报考/申请硕士、博士。将为各位同学提供专业的指导、全面的科研训练、一流的软硬件科研环境以及与国内外一流科研团队交流合作的机会。 科学研究荣誉获奖 Awards Information 2020年获得西北工业大学优秀博士论文2019年获得中国图象图形学学会(CSIG)优秀博士论文奖2019年获得陕西省自然科学优秀论文三等奖2019年获得IEEE International Conference on Orange Technologies(ICOT)最佳论文 学术成果科学研究 Scientific Research 图像处理:去噪、去模糊、超分辨率重建、高动态重建、压缩感知、图像压缩机器学习:小样本学习、无监督学习、主动学习(active learning)、网络轻量化、网络结构搜索 综合介绍学术成果 Academic Achievements 近期部分期刊论文Lei Zhang, Jiangtao Nie, Wei Wei, Yong Li and Yanning Zhang. Deep Blind Hyperspectral Image Super-Resolution. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.Qingsen Yan, Lei Zhang, Yu Liu, Yu Zhu, Jinqiu Sun, Qinfeng Shi and Yanning Zhang. Deep HDR Imaging via A Non-Local Network. IEEE Transactions on Image Processing (TIP), 2020.Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, et al. Towards Effective Deep Embedding for Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), 2020. Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, et al. Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019.Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, et al. Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network. International Journal of Computer Vision (IJCV), 2019.Lei Zhang, Jinyang Zhang, Wei Wei and Yanning Zhang. Learning Discriminative Compact Representation for Hyperspectral Imagery Classification. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019.Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel and Yanning Zhang. Accurate Imagery Recovery Using a Multi-Observation Patch Model. Information Science, 2019.Suwichaya Suwanwimolkul, Lei Zhang, et al. An Adaptive Markov Random Field for Structured Compressive Sensing. IEEE Transactions on Image Processing (TIP), 2018.Lei Zhang, Wei Wei, Chengcheng Bai, Yifan Gao and Yanning Zhang. Exploiting Clustering Manifold Structure for Hyperspectral Imagery Super-Resolution. IEEE Transactions on Image Processing (TIP), 2018.Wei Wei, Lei Zhang, Yining Jiao, Chunna Tian, et al. Intra-Cluster Structured Low-Rank Matrix Analysis Method for Hyperspectral Denoising. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2018.Lei Zhang, Peng Wang, Wei Wei, Hao Lu, Chunhua Shen, et al. Unsupervised Domain Adaptation Using Robust Class-Wise Matching. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.Fei Li, Xiuwei Zhang, Lei Zhang, Dongmei Jiang and Yanning Zhang. Exploiting Structured Sparsity for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2018.Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, et al. Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. International Journal of Computer Vision (IJCV), 2018.Wei Wei, Lei Zhang, et al. Structured Sparse Coding based Hyperspectral Imagery Denoising with Intra-cluster Filtering. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2017.Lei Zhang, Wei Wei, Yanning Zhang,et al. Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2016.Lei Zhang, Wei Wei, Chunna Tian, Fei Li and Yanning Zhang. Exploring Structured Sparsity by A Reweighted Laplace Prior for Hyperspectral Compressive Sensing. IEEE Transactions on Image Processing (TIP), 2016.Lei Zhang, Wei Wei, Yanning Zhang, Hangqi Yan, Fei Li, and Chunna Tian. Locally Similar Sparsity-Based Hyperspectral Compressive Sensing Using Unmixing. IEEE Transactions on computational Imaging (TCI), 2016.近期部分会议论文 Lei Zhang, Jiangtao Nie, Wei Wei, Yanning Zhang,et al. Unsupervised Adaptation Learning for Hyperspectral Imagery Super-resolution. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, et al. Pixel-wise Deep Function-mixture network for Spectral Super-resolution. AAAI Conference on Artificial Intelligence (AAAI), 2020Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong and Qingfeng Shi. Variational Bayesian Dropout with A Hierarchical Prior. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang and Qingfeng Shi. Deblurring Natural Image Using Super-Gaussian Fields. European Conference on Computer Vision (ECCV), 2018.Hao Lu*, Lei Zhang*, Zhiguo Cao, Wei Wei, Ke Xian, et al. When Unsupervised Domain Adaptation Meets Tensor Representation. International Conference on Computer Vision (ICCV), 2017.Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel and Qingfeng Shi. Cluster Sparsity Field for Hyperspectral Imagery Denoising. European Conference on Computer Vision (ECCV), 2016.Lei Zhang, Wei Wei, Yanning Zhang, et al. Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, and Qinfeng Shi. Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior. IEEE International Conference on Computer Vision (ICCV), 2015. |