姓　名：张二磊
职　称：副教授，硕士生导师
办公室：信息工程学院413室
邮　箱：Erlei.Zhang@nwafu.edu.cn



基本信息

1988年出生，博士，副教授，硕士生导师，中国人工智能协会会员、中国图象图形学会会员、美国医学物理学会会员、IEEE会员。2015年12月于西安电子科技大学模式识别与智能系统专业获得工学博士学位。2016年2月~2018年4月，任华为技术有限公司高级算法工程师；2018年5月~2021年2月，西北大学和美国德州大学西南医学中心开展博士后研究工作；2021年3月-至今，任西北农林科技大学信息工程学院副教授。
主要从事机器学习理论与方法、遥感影像理解、医学影像辅助诊断等技术的研究，在国内外重要期刊和国际会议上发表学术论文25篇，SCI检索13篇，EI检索12篇，申请国家发明专利10余项。
作为项目负责人承担国家自然科学基金青年项目1项、西北农林科技大学引进人才专项项目1项、智能感知与图像理解教育部重点实验室开放基金1项，结题中国博士后科学基金面上项目1项、陕西省自然科学基础研究计划1项、美国心脏协会研究基金1项。
长期担任国际权威期刊审稿人，包括Pattern Recognition、IEEE Transactions on Image Processing、Physics in Medicine and Biology、Medical Physics、西北农业学报等；国际会议，包括IEEE Engineering in Medicine and Biology Conference、International Conference on Medical Image Physics and Engineering、The 5th Asian Conference on Artificial Intelligence Technology (ACAIT 2021)；客座编辑，包括BioMed Research International。



最新消息

2021.6.18 指导学生在国际权威期刊发表学术论文。Huaiping Yan, Jun Wang, Lei Tang, Erlei Zhang, Kun Yan, Kai Yu, Jinye Peng*, "A 3D Cascaded Spectral-Spatial Element Attention Network for Hyperspectral Image Classification", Remote Sensing, Accepted: 7 May 2021. (中科院二区期刊, IF: 4.509, PDF )



2021.1.07 指导学生在国际权威期刊发表学术论文。Jinye Peng, Jiaxin Wang, Jun Wang*, Erlei Zhang*, Qunxi Zhang, Yongqin Zhang, Xianlin Peng, Kai Yu, “A relic sketch extraction framework based on detail-aware hierarchical deep network,” Signal Processing, Vol. 183, June 2021, 108008. (Corresponding author, 中科院二区期刊, IF: 4.384, PDF)




研究方向及招生信息
研究方向：
1.机器学习理论与方法研究；
2.深度学习在遥感影像分析的应用研究；
3.机器学习在医学影像分析的应用研究。
招生信息（2021年）：
1.待接收计算机科学与技术专业 学术硕士1名；
2.电子信息专业硕士研究生3名
招生要求：
1.对学术研究感兴趣，踏实、勤奋；
2.数学功底扎实，有良好的英语阅读、写作能力；
3.编程能力较强及具备模式识别、数学建模相关知识储备的同学优先考虑。

支持：
1.提供参加国内/国际学术会议的资助；
2.为有意愿出国深造的学生提供推荐；
3.为有意愿进入国内外龙头IT企业的同学提供推荐。






本科生科创招生信息
招生要求：
1. 有积极意愿参加科创项目实践
2. 英语和编程能力较强
3. 有机器学习、深度学习、数据挖掘、数学建模基础
支持：
1. 指导和推荐参加各级科创训练项目，以及研究机构或企业主办的技术竞赛
2. 对在科创工作一年以上，各方面表现优异、取得一定科研成绩的本科同学，若取得我校推免资格，优先录取
3. 若想保送外校（西安交大、西电、西工大、西北大学、西理工等，前提是优秀者）读研究生，将帮助推荐与联系



学术成果
期刊论文
[14] Erlei Zhang, Xiangrong Zhang*, Licheng Jiao, Lin Li, and Biao Hou, “Spectral-spatial hyperspectral image ensemble classification via joint sparse representation,” Pattern Recognition, vol. 59, pp. 42-54, 2016. (中科院一区期刊, TOP期刊,IF: 7.196)
[13] Jinye Peng, Lu Liu, Jun Wang*, Erlei Zhang*, Xuan Zhu, Yongqin Zhang, Jie Feng, Licheng Jiao, “PSMD-Net: a novel pan-sharpening method based on multi-scale dense network,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 6, pp. 4957-4971, 2021. (Corresponding author, 中科院一区期刊, TOP期刊, IF: 5.855, Accept)
[12]Huaiping Yan, Jun Wang, Lei Tang, Erlei Zhang, Kun Yan, Kai Yu, Jinye Peng*, "A 3D Cascaded Spectral-Spatial Element Attention Network for Hyperspectral Image Classification", Remote Sensing, vol.13, no.13, 2451,June 18 2021. (中科院二区期刊, IF: 4.509,PDF )
[11] Jinye Peng, Jiaxin Wang, Jun Wang*,Erlei Zhang*, Qunxi Zhang, Yongqin Zhang, Xianlin Peng, Kai Yu, “A relic sketch extraction framework based on detail-aware hierarchical deep network,” Signal Processing, Vol. 183, June 2021, 108008. (Corresponding author, 中科院二区期刊, IF: 4.384, PDF)
[10] Erlei Zhang, Stephen Seiler, Mingli Chen, Weiguo Lu*, Xuejun Gu*, “BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis,” Physics in Medicine and Biology, vol. 65, no. 12, pp. 351-557, 2020. (中科院二区期刊, TOP期刊, IF: 2.883, WOS:001)
[9] Lu Liu, Jun Wang*, Erlei Zhang*, Bin Li, Xuan Zhu, Yongqin Zhang, Jinye Peng, “Shallow-deep convolutional network and spectral discrimination-based detail injection for multispectral imagery pan-sharpening,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 1772-1783, 2020. (Corresponding author, 中科院二区期刊,IF: 3.827, WOS:001)
[8] Tian Zhang, Jun Wang*, Erlei Zhang*, Kai Yu, Yongqin Zhang, Jinye Peng, “RMCNet: Random multiscale convolutional network for hyperspectral image classification,” IEEE Geoscience and Remote Sensing Letters, 2020. (Corresponding author, 中科院二区期刊,IF: 3.833, Accept)
[7] Erlei Zhang, Licheng Jiao, Xiangrong Zhang*, Hongying Liu, and Shuang Wang, “Class-level joint sparse representation for multifeature-based hyperspectral image classification,” IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 9, pp. 4160-4177, 2016. (中科院二区期刊,IF: 3.827)

[6] Erlei Zhang, Xiangrong Zhang*, Licheng Jiao, Hongying Liu, and Shuang Wang, “Weighted multifeature hyperspectral image classification via kernel joint sparse representation,” Neurocomputing, vol. 178, pp. 71-86, 2016. (中科院二区期刊, TOP期刊,IF: 4.438)
[5] Erlei Zhang, Xiangrong Zhang, Licheng Jiao, and Hongying Liu, “Fast multifeature joint sparse representation for hyperspectral image classification,” IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 7, pp. 1397-1401, 2015. (中科院二区期刊,IF: 3.827)
[4] Erlei Zhang, Xiangrong Zhang, Shuyuan Yang, and Shuang Wang, “Improving hyperspectral image classification using spectral information divergence,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp. 249-253, 2015. (中科院二区期刊,IF: 3.833)
[3] Shaode Yu, Mingli Chen, Erlei Zhang, Junjie Wu, Hang Yu, Zi Yang, Lin Ma, Xuejun Gu, Weiguo Lu, “Robustness study of noisy annotation in deep learning based medical image segmentation,” Physics in Medicine and Biology, vol. 65, no. 17:175007, 2020. (中科院二区期刊,IF: 2.883, WOS:001)
[2] Meng Jia, Maoguo Gong, Erlei Zhang, Yu Li, and Licheng Jiao, “Hyperspectral image classification based on nonlocal means with a novel class-relativity measurement,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 7, pp. 1300-1304, 2014. (中科院二区期刊,IF: 3.833)
[1] Hongying Liu, Shuang Wang, Rongfang Wang, Junfei Shi, Erlei Zhang, Shuyuan Yang, and Licheng Jiao, “A framework for classification of urban areas using polarimetric SAR images integrating color features and statistical model”, Journal of Infrared and Millimeter Waves, vol. 04, no. 35, pp. 398-406, 2016. (中科院三区期刊,IF: 0.384)


会议论文
[12] Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie, “A matlab toolbox for feature importance ranking,” International Conference on Medical Image Physics and Engineering, 2019. (Accept)

[11] Erlei Zhang, Stephen Seiler, Mingli Chen, Weiguo Lu, Xuejun Gu, “Boundary-aware semi-supervised deep learning for breast ultrasound computer-aided diagnosis,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 947-950, 2019.
[10] Erlei Zhang, Jinglei Li, Stephen Seiler, Mingli Chen, Weiguo Lu, Xuejun Gu. "A benchmark for breast ultrasound image computer-aided diagnosis." MEDICAL PHYSICS. Vol. 46. No. 6. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2019.
[9] Erlei Zhang, Zi Yang, Stephen Seiler, Mingli Chen, Weiguo Lu, Xuejun Gu. "Breast ultrasound computer-aided diagnosis using triplet path networks with fisher discriminant analysis." MEDICAL PHYSICS. Vol. 46. No. 6. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2019.
[8] Yan Liu, Erlei Zhang, and Xuejun. Gu. "Capsule architecture based automatic lung segmentation strategy." MEDICAL PHYSICS. Vol. 46. No. 6. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2019.
[7] Shaode Yu, Erlei Zhang, Zi Yang, Weiguo Lu, Xuejun Gu, Yaoqin Xie. "Deep learning based mammographic breast cancer diagnosis: a technical review." MEDICAL PHYSICS. Vol. 46. No. 6. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2019.
[6] Zi Yang, Erlei Zhang, Shaode Yu, Zabi Wardak, Mingli Chen, Weiguo Lu, Xuejun Gu. "Deep-learning based classification of Alzheimer's disease using resting-state functional MRI time series." MEDICAL PHYSICS. Vol. 46. No. 6. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2019.
[5] Erlei Zhang, Stephen Seiler, Mingli Chen, Weiguo Lu, Xuejun Gu, “BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis,” International Conference on the Use of Computers in Radiation Therapy (ICCR), Canada, 2019. (Oral presentation)
[4] Hongying Liu, Xing Xing, Shigang Wang, Zhixi Feng, Erlei Zhang, Shuyuan Yang, Biao Hou, and Licheng Jiao, “Fast semi-supervised classification based on parallel auction graph for polarimetric SAR data,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016. (Top conference in remote image analysis)
[3] Xiangrong Zhang, Cheng Cai, Jinliang An, Yaoguo Zheng, Erlei Zhang, and Biao Hou, “Sparsity-constrained generalized bilinear model for hyperspectral unmixing,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015. (Top conference in remote image analysis)
[2] Xiangrong Zhang, Peng Weng, Jie Feng, Erlei Zhang, and Biao Hou, “Spatial-spectral classification based on group sparse coding for hyperspectral image,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013. (Top conference in remote image analysis)
[1] Xiangrong Zhang, Erlei Zhang, and Runxin Li, “Optimized feature extraction by immune clonal selection algorithm,” IEEE Congress on Evolutionary Computation (CEC), 2012.

专利
[10] 基于部分哈达玛矩阵的超分辨率鬼成像方法及系统, 2020-06-19, 中国, CN0.9.
[9] 基于高光谱分类与分割的壁画颜料层脱落病害标注方法, 2020.06.19, 中国, 7.7.
[8] 同义词挖掘方法、装置、设备和计算机可读存储介质, 2018-3-2, 中国, CN5.3.
[7] 高光谱图像特征提取、分类模型构建及分类方法, 2019-8-9, 中国, CN7.5.
[6] 一种基于多尺度密集网络的Pan-sharpening方法, 2019-11-22, CN2.8.
[5] 一种基于层次化残差神经网络的图像超分辨率方法, 2019-8 -28, 中国, CN9.1.
[4] 一种基于双线性结构的层级分类方法, 2019-6-24, 中国, CN7.3.
[3] 基于双通道神经网络的遥感图像融合方法, 2019-6-14, 中国, CN2.9.
[2] 基于神经架构搜索的行人重识别模型构建方法及装置, 2019-10-11, 中国, CN5.2.
[1] 一种层次化彩绘文物线稿提取模型构建、方法及装置, 2020-01-16, CN6.4.