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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

        张二磊:副教授,硕士生导师,中国图象图形学会视觉大数据专业委员会委员、中国人工智能协会会员、美国医学物理学会会员、IEEE会员、CAAI青年工作委员会会员。2015年于西安电子科技大学获得模式识别与智能系统专业工学博士学位。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,入选西北农林科技大学首批高层次人才支持计划。

       主要从事机器学习理论与方法、智慧农业、遥感影像理解、医学影像辅助诊断等技术的研究,作为项目负责人累计承担国家级、省部级以及企业横向等10余项科研项目,在国内外重要期刊和国际会议上发表学术论文30余篇,SCI检索16篇,EI检索15篇,申请国家发明专利10余项。

       长期担任10多个国际权威期刊和会议审稿人,包括Pattern Recognition、IEEE Transactions on Image Processing、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Radiation and Plasma Medical Sciences、International Journal of Remote Sensing、Physics in Medicine and Biology、Medical Physics、西北农业学报、Journal of Selected Topics in Signal Processing等。


最新消息

寻找合作者:

       由于横纵向科研项目需要,长期寻找合作者,包括但不限于机器学习、计算机视觉、数据挖掘、软件开发等方面的专家、研究生、本科生。详细情况请邮件联系。

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科创新课题(招新~~):

1. 文本转图像

2. 风格转化

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2022.05.09 指导学生在国际会议发表学术论文。Huaiping Yan,  ErLei Zhang, Jun Wang*, Chengcai Leng, Haida Liang and JinYe Peng*, "Coarse-Refined Local Attention Network for Hyperspectral Image Classification", International Conference on Image Processing and Media Computing (ICIPMC 2022), Xi'an, China, May 27-29, 2022.

2022.03.16 指导学生在国际权威期刊发表学术论文。Huaiping Yan, Erlei Zhang*, Jun Wang, Chengcai Leng, and Jinye Peng*, "MTFFN: Multimodal Transfer Feature Fusion Network for Hyperspectral Image Classification"IEEE Geoscience and Remote Sensing Letters, Accept, 2022. (通讯作者, 中科院二区期刊, IF: 3.833)


研究方向及招生信息

研究方向:

  1. 1.机器学习理论与方法研究;

  2. 2.深度学习在遥感影像分析的应用研究;

  3. 3.机器学习在医学影像分析的应用研究。

生信息(2022年):

1.待接收计算机科学与技术相关专业 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. 1.对学术研究感兴趣,踏实、勤奋;

  2. 2.数学功底扎实,有良好的英语阅读、写作能力;

  3. 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;

  4. 4.须积极认真参与纵向课题研究、横向项目实践与研发。

支持:

  1. 1.提供充足的软硬件科研设备和资金支持;

  2. 2.提供参加国内/国际学术会议的资助;

  3. 3.为有意愿出国深造的学生提供推荐;

  4. 4.为有意愿攻读博士学位的同学提供推荐;

  5. 5.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

科创新新课题招新:

1. 文本转图像

2. 风格转化

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、西北大学等,前提是优秀者)读研究生,将协助推荐与联系


2021年指导学生获得的成果与荣誉

2021.12.10 指导本科生王晨团队申报的“植物叶片图像数据交互标注系统”获批2022年大学生创新训练项目

2021.8.1  指导学生在国际权威期刊发表学术论文。Sir Eiad Almekhlafi, Moeen AL-Makhlafi, Erlei Zhang*, Jun Wang, Jinye Peng*, "Classification Benchmark for Arabic Alphabet Phonemes with Diacritics in Deep Neural Network", Computer Speech and Language, Accepted, August 1, 2021. (中科院二区期刊,  IF: 1.899,PDF)

2021.7.16 指导学生在国际会议发表学术论文。Kai Yu; Yuheng Li; Jing Yan; Ruiheng Xie; Erlei Zhang; Cheng Liu; Jun Wang. Intelligent labeling of areas of wall painting with paint loss disease based on multiscale detail injection U-Net[C]//Optics for Arts, Architecture, and Archaeology VIII. International Society for Optics and Photonics, 2021, 11784: 1178409. (PDF)

2021.7.16 指导学生在国际会议发表学术论文。Qunxi Zhang, Shan Cui, Lu Liu, Jiaxin Wang, Jun Wang, Erlei Zhang, Jinye Peng, Sotiria Kogou, Florence Liggins, and Haida Liang "Deep learning for the extraction of sketches from spectral images of historical paintings", Proc. SPIE 11784, Optics for Arts, Architecture, and Archaeology VIII, 1178407 (8 July 2021); https://doi.org/10.1117/12.2593680 (PDF)

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)


社会公益服务和学术活动

2021.12.30 担任2022年图像处理与媒体计算国际会议Technical Program Committee

2021.12.19 担任中国图象图形学会视觉大数据专业委员会委员,参与第4届中国模式识别与计算机视觉大会

2021.11.1 担任“正泰杯”第七届中国研究生智慧城市技术与创意设计大赛评委

2021.10.29 担任第5届亚太人工智能技术大会ACAIT程序委员

2020.12.5 中国图象图形学会第八届全国会员代表大会代表


学术成果

期刊论文

[16] Huaiping Yan, Erlei Zhang*, Jun Wang, Chengcai Leng, and Jinye Peng*. “MTFFN: Multimodal Transfer Feature Fusion Network for Hyperspectral Image Classification”, IEEE Geoscience and Remote Sensing Letters, vol. 13. 2022. (通讯作者, 中科院二区期刊, IF: 3.833, PDF)

[15] 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)

[14] 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. (通讯作者, 中科院二区期刊, TOP期刊, IF: 5.855)

[13] Sir Eiad Almekhlafi, Moeen AL-Makhlafi, Erlei Zhang*, Jun Wang, Jinye Peng*, "Classification Benchmark for Arabic Alphabet Phonemes with Diacritics in Deep Neural Network", Computer Speech and Language, Vol 71, August 1, 2021. (通讯作者,中科院二区期刊, IF: 1.899)

[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: 4.509PDF )

[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. (通讯作者, 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:000542229100001)      

[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. (通讯作者, 中科院二区期刊, IF: 3.827)

[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, vol. 18, no. 10, pp. 1826-1830, Oct. 2021. (通讯作者, 中科院二区期刊, IF: 3.833)

[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:000565759600001)

[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)

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会议论文

[16] Huaiping Yan,  ErLei Zhang, Jun Wang*, Chengcai Leng, Haida Liang and JinYe Peng*, "Coarse-Refined Local Attention Network for Hyperspectral Image Classification", 2022 International Conference on Image Processing and Media Computing (ICIPMC 2022), Xi'an, China, May 27-29, 2022.

[15] Jiaqi Chen, Shuyin Zhang*, Meng Tian, Zhiguo Xie, Huan Chen, and Erlei Zhang. “A Combination Classifier of Polarimetric SAR image Based on D-S Evidence Theory.” 4th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Zhuhai, China, Dec. 19, 2021.

[14] Kai Yu; Yuheng Li; Jing Yan; Ruiheng Xie; Erlei Zhang; Cheng Liu; Jun Wang. Intelligent labeling of areas of wall painting with paint loss disease based on multiscale detail injection U-Net[C]//Optics for Arts, Architecture, and Archaeology VIII. International Society for Optics and Photonics, 2021, 11784: 1178409. (PDF)

[13] Qunxi Zhang, Shan Cui, Lu Liu, Jiaxin Wang, Jun Wang, Erlei Zhang, Jinye Peng, Sotiria Kogou, Florence Liggins, and Haida Liang "Deep learning for the extraction of sketches from spectral images of historical paintings", Proc. SPIE 11784, Optics for Arts, Architecture, and Archaeology VIII, 1178407 (8 July 2021); https://doi.org/10.1117/12.2593680. (PDF)

[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.

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专利

[11] 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, CN110706154B. (授权)

[10] 一种基于双线性结构的层级分类方法, 2019-6-24, 中国, CN110390350B. (授权)

[9] 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, CN107748755B. (授权)

[8] 基于3D卷积的多尺度注意力深度卷积网络的遥感图像融合方法,2021-01-13, 中国, CN202110042742.0.

[7] 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, CN202010566560.9.

[6]       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       , 202010564567.7.      

[5] 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, CN201910247707.5.

[4] 一种基于多尺度密集网络的Pan-sharpening方法, 2019-11-22, CN201911155272.8.

[3] 基于双通道神经网络的遥感图像融合方法, 2019-6-14, 中国, CN201811635472.9.

[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, CN201910964255.2.

[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, CN202010049526.4.




在校学生  

在读研究生:

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            白嘉欣                                       卞嘉蓉                                        房绍旖                                          张宇        

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             陈炜昊                                       张甲一                                       刘凯凯

本科生(保送研究生) 

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             李馨宇                                        姚甲涛


兴趣小组(本科生)
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                田怡                                         刘凡                                            王晨                                            柳妍

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              孙玲                                         游舒婷                                        杨治梁                                   白志轩                 软件2019-冀磊磊.jpg

            冀磊磊


              



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