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师资力量-张淳杰 教授
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【个人简介】

张淳杰,2011年7月毕业于中国科学院自动化所模式识别国家重点实验室,获工学博士学位。主持包括北京市杰出青年基金,国家自然科学基金面上项目、青年基金等多个项目。共计发表论文70余篇,其中IEEE汇刊论文22篇(第一作者16篇);包括IEEE Transactions on Image Processing (T-IP)、IEEE Transactions on Neural Network and Learning Systems (T-NNLS)、IEEE Transactions on Cybernetics (T-CYB)、IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)、IEEE Transactions on Multimedia (T-MM)等。

担任国际期刊Information Sciences(An2)副主编、国际期刊Neurocomputing(An2)副主编、CCF A类会议IJCAI 2020/ACM Multimedia 2020程序委员会委员。

欢迎对人工智能、模式识别、计算机视觉、机器学习、多媒体信息处理与分析感兴趣的同学加入课题组。

【研究领域】

人工智能、模式识别、计算机视觉、机器学习、多媒体信息处理与分析

【主要奖励】

2018年度中国图象图形学学会科学技术奖二等奖

2020年度北京交通大学詹天佑专项奖(科技奖)

【科研项目】

2021-2023,北京市自然科学基金杰出青年基金项目

2021-2024,国家自然科学基金面上项目

国家自然科学基金面上项目,基于多视角语义协同的细粒度图像分类

国家自然科学基金青年基金,融合稀疏表示与深度学习的图像分类技术研究

国家自然科学基金重点项目,面向网络事件的跨平台异质媒体语义协同与挖掘

国家自然科学基金重点国际(地区)合作研究项目,面向城市交通监控的无人机视频分析及其关键信息挖掘

【学术兼职】

国际期刊Information Sciences(An2), 副主编

国际期刊Neurocomputing(An2),副主编

国际会议IJCAI 2020(CCF A类)程序委员会委员

国际会议ACM Multimedia 2020(CCF A类)程序委员会委员

“CSIG图形图像中国行-北京交通大学”活动,执行主席

国际会议PCM2018(CCF推荐会议)技术委员会委员

中国科学院青年创新促进会 会员

中国电子学会通信分会多媒体通信与信息处理专业技术委员会 委员

中国计算机学会多媒体技术专业委员会 委员

中国图象图形学学会机器视觉专业委员会 委员

中国图象图形学学会视觉大数据专业委员会 委员

中国自动化学会模式识别与机器智能专业委员会 委员

中国人工智能学会模式识别专业委员会 委员

工业和信息化部《促进新一代人工智能产业发展三年行动计划》专家组成员

TPAMI、TIP、TKDE、TIE、TNNLS、TCYB、TCSVT、TMM等多个IEEE汇刊审稿人

【科研成果】

论文列表:https://dblp.org/pers/hd/z/Zhang:Chunjie

IEEE Trans.论文

(1)Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Qingming Huang, and Qi Tian, Beyond explicit codebook generation: Visual representation using implicitly transferred codebooks, IEEE Transactions on Image Processing, 24(12):5777-5788, Dec. 2015.

(2)Chunjie Zhang, Jian Cheng, and Qi Tian, Multi-view image classification with visual, semantic and view consistency, IEEE Transactions on Image Processing, 29(1):617-627, 2020.

(3)Chunjie Zhang, Chao Liang, Liang Li, Jing Liu, Qingming Huang, and Qi Tian, Fine-grained image classification via low-rank sparse coding with general and class-specific codebooks, IEEE Transactions on Neural Network and Learning Systems, 28(7):1550-1559, 2017.

(4)Chunjie Zhang, Jian Cheng, and Qi Tian, Structured weak semantic space construction for visual categorization, IEEE Transactions on Neural Network and Learning Systems, 29(8):3442-3451, 2018.

(5)Chunjie Zhang, Jian Cheng, Changsheng Li, and Qi Tian, Image-specific classification with local and global discriminations, IEEE Transactions on Neural Network and Learning Systems, 29(9):4479-4486, 2018.

(6)Chunjie Zhang, Jian Cheng, Liang Li, Changsheng Li, and Qi Tian, Object categorization using class-specific representation, IEEE Transactions on Neural Network and Learning Systems, 29(9):4528-4534, 2018.

(7)Chunjie Zhang, Jian Cheng, and Qi Tian, Semantically modeling of object And context for categorization, IEEE Transactions on Neural Network and Learning Systems, 30(4):1013-1024, 2019.

(8)Chunjie Zhang, Jian Cheng, and Qi Tian, Incremental codebook adaptation for visual representation and categorization, IEEE Transactions on Cybernetics, 48(7):2012-2023, 2018.

(9)Chunjie Zhang, Jian Cheng, and Qi Tian, Multi-view, few-labeled object categorization by predicting labels with view consistency, IEEE Transactions on Cybernetics, 49(11):3834-3843, 2019.

(10)Chunjie Zhang, Jian Cheng, and Qi Tian, Multi-view semantic representation for visual recognition, IEEE Transactions on Cybernetics, DOI:10.1109/TCYB.2018.2875728.

(11)Chunjie Zhang, Jian Cheng, and Qi Tian, Multi-view label sharing For visual representations And Classifications, IEEE Transactions on Multimedia, 20(4):903-913, 2018.

(12)Chunjie Zhang, Jian Cheng, and Qi Tian, Unsupervised and semi-supervised image classification with weak semantic consistency, IEEE Transactions on Multimedia, 21(10):2482-2491, 2019.

(13)Chunjie Zhang, Qingming Huang, and Qi Tian, Contextual exemplar classifier-based image representation for classification, IEEE Transactions on Circuits and Systems for Video Technology, 27(8):1691-1699, 2017.

(14)Chunjie Zhang, Guibo Zhu, Chao Liang, Yifan Zhang, Qingming Huang and Qi Tian, Image class prediction by joint object, context and background modeling, IEEE Transactions on Circuits and Systems for Video Technology, 28(2):428-438, 2018.

(15)Chunjie Zhang, Jitao Sang, Guibo Zhu, and Qi Tian, Bundled local features for image representation, IEEE Transactions on Circuits and Systems for Video Technology , 28(8):1719-1726, 2018.

(16)Chunjie Zhang, Chenghua Li, and Jian Cheng, Few-shot visual classification using image pairs with binary transformation, IEEE Transactions on Circuits and Systems for Video Technology, DOI:10.1109/TCSVT.2019.2920783.

(17)Congqi Cao, Yifan Zhang, Chunjie Zhang, and Hanqing Lu, Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition, IEEE Transactions on Cybernetics, 48(3):1095-1108, 2018.

(18)Junbiao Pang, Fei Jia, Chunjie Zhang, Weigang Zhang, Qingming Huang, and Baocai Yin, Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades. IEEE Transactions on Multimedia, 17(6): 843-853, 2015.

(19)Junbiao Pang, Lei Qin, Chunjie Zhang, Weigang Zhang, Qingming Huang, and Baocai Yin, Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification, IEEE Transactions on Cybernetics, 45(12): 2937-2947, 2015.

(20)Junbiao Pang, Fei Tao, Chunjie Zhang, Weigang Zhang, Qingming Huang, and Baocai Yin, Robust latent poisson deconvolution from multiple features for web topic detection, IEEE Transactions on Multimedia, 18(12):2482-2493, 2016.

(21)Yimin Wang, Ruimin Hu, Chao Liang, Chunjie Zhang, and Qingming Leng, Camera Compensation Using a Feature Projection Matrix for Person Reidentification, IEEE Transactions on Circuit System and Video Technology, 24(8):1350-1361, 2014.

(22)Chenggang Yan, Liang, Li, Chunjie Zhang, Bingtao Liu, Yongdong Zhang, Qionghai Dai, Cross-modality bridging and knowledge transferring for image understanding, IEEE Transactions on Multimedia, 21(10):2675-2685, 2019.

【教学工作】

近年来,为研究生和本科生开设的课程有:

深度学习
线性系统理论
C语言程序设计