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基本信息 The basic information
姓名: 张磊

学院: 计算机学院


学历: 博士研究生毕业

学位: 工学博士


职称: 教授

职务:


学科: 计算机科学与技术-计算机应用技术


邮箱: nwpuzhanglei@nwpu.edu.cn




综合介绍 General Introduction
教授，2008年考入西北工业大学计算计学院，分别于2012和2018年从西北工业大学计算机学院获得学士和博士学位；2017年8月加入阿德莱德大学机器学习澳洲研究院进行博士后研究；2019年2月加入阿联酋起源人工智能研究院担任研究科学家；2020年9月入选西北工业大学翱翔海外****计划，加入计算机学院开展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50余篇；2019年获得CSIG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 TCB， IEEE TIP，IEEE TNNLS， IEEE TGRS， IEEE TMM，CVPR，ICME等18个本领域期刊、会议的审稿人。



工作经历 Work Experience
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）





教育经历 Education Experience
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



招生信息 Admission Information



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





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



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), 2020
Yuhang 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), 2019
Yuhang 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.