在读研期间，所有与你读研相关的事情，可能都需要经过你的导师同意，所以说，选择导师真的很重要，也希望大家能够认真对待这件事，怎样才能选择适合自己的导师呢?这就要我们提前做足功课，尽可能多的搜集有关你准备报考的导师的信息，下面新东方在线考研频道为大家分享：“北京交通大学硕士研究生导师信息：张淳杰”文章。
北京交通大学硕士研究生导师信息：张淳杰
张淳杰
博士、教授
基本信息
办公电话：电子邮件： cjzhang@bjtu.edu.cn
通讯地址：北京交通大学信息科学研究所邮编：100044
教育背景
2011年博士毕业于中国科学院自动化所模式识别国家重点实验室， 研究方向包括图像处理与理解、计算机视觉、多媒体数据处理与分析等方面;主持包括北京市杰出青年基金项目、国自然科面上项目等;共计发表论文80余篇，其中第一作者IEEE汇刊论文20篇;获2023年北京市科学技术奖自然科学奖二等奖、2022年福建省科学技术奖科学技术进步奖二等奖、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);中国计算机学会杰出会员、中国图象图形学学会/中国人工智能学会高级会员、IEEE Senior Member。
2025年招生计划：博士生 (1-2名) ;
招生要求：对科研工作真正怀有兴趣，具有较强的自我驱动能力和具备较好的编程能力和数学基础，有学术竞赛经验者优先。
招生专业：根据学院学科调整，本人2025年开始招收计算机科学与技术专业的博士生与硕士生
工作经历
2019~至今 北京交通大学 计算机与信息技术学院 教授
2017~2019 中国科学院自动化研究所 助理研究员、副研究员
2012~2017 中国科学院大学 计算机与控制学院 博士后、讲师
2011~2012 国家电网河南省电力公司电力科学研究院 工程师
研究方向
数字媒体信息处理与智能分析
模式识别与智能系统
机器人技术与无人驾驶
新一代电子信息技术
软件工程
人工智能
大数据技术与工程
招生专业
信息与通信工程博士
控制科学与工程博士
新一代电子信息技术(含量子技术等)博士
人工智能博士
信息与通信工程硕士
控制科学与工程硕士
新一代电子信息技术(含量子技术等)硕士
软件工程硕士
人工智能硕士
大数据技术与工程硕士
科研项目
主持北京市自然科学基金杰出青年基金、国自然面上项目，参与国自然重点项目等。
教学工作
深度学习
论文/期刊
Yepeng Tang, Weining Wang, Chunjie Zhang, et. al., “Temporal Action Proposal Generation With Action Frequency Adaptive Network”, IEEE Transactions on Multimedia, DOI: 26:2340-2353, 2024.
Yepeng Tang, Weining Wang, Yanwu Yang, Chunjie Zhang*, et. al., “Anchor-free temporal action localization via Progressive Boundary-aware Boosting”, Inf. Process. Manag., 60(1): 103141 (2023).
Hongguang Zhu, Chunjie Zhang, Yunchao Wei, Shujuan Huang, and Yao Zhao, “ESA: External space attention aggregation for image-text retrieval”, IEEE Transactions on Circuits and Systems for Video Technology, 33(10):6131-6143, 2023.
Hongguang Zhu, Yunchao Wei, Yao Zhao, Chunjie Zhang, and Shujuan Huang, “AMC: Adaptive Multi-expert Collaborative Network for Text-guided Image Retrieval”, ACM Transactions on Multimedia Computing, Communications, and Applications, accepted, DOI:10.1145/3584703, 2023.
Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai, and Yao Zhao, “Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning”, CVPR, pp.15337-15346, 2023. (highlight paper)
Changkai Xu, Chunjie Zhang, et. al., “Accelerate adversarial training with loss guided propagation for robust image classification”, Inf. Process. Manag., 60(1): 103143 (2023).
Weijia Li, Saihui Hou, Chunjie Zhang, et. al., “An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions” CVPR, pp.13824-13833, 2023.
Shangrong Yang, Chunyu Lin, Kang Liao, Chunjie Zhang, Yao Zhao, “Progressively complementary network for fisheye image rectification using appearance flow”, CVPR, pp.6348-6357, 2021.
Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao, “Towards fast and accurate real-world depth super-resolution: Benchmark dataset and baseline”, CVPR, pp.9229-9238, 2021.
Chunjie Zhang, et al, “Fine-grained image classification by class and image-specific decomposition with multiple views”, IEEE Transactions on Multimedia, vol.25, pp.6756-6766, 2023.
Chunjie Zhang, et. al., Exemplar-based, semantic guided zero-shot visual recognition, IEEE Transactions on Image Processing, vol.31, pp.3056-3065, 2022.
Man Liu, Chunjie Zhang, Huihui Bai, Riquan Zhang, Yao Zhao: Cross-Part Learning for Fine-Grained Image Classification. IEEE Transactions on Image Processing, 31: 748-758 (2022)
Chunjie Zhang, et. al., Multi-view image classification with visual, semantic and view consistency, IEEE Transactions on Image Processing, 29(1):617-627, 2020.
Chunjie Zhang, et. al., Beyond explicit codebook generation: Visual representation using implicitly transferred codebooks, IEEE Transactions on Image Processing, 24(12):5777-5788, Dec. 2015.
Chunjie Zhang, et. al., 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.
Chunjie Zhang, et. al., Structured weak semantic space construction for visual categorization, IEEE Transactions on Neural Network and Learning Systems, 29(8):3442-3451, 2018.
Chunjie Zhang, et. al., Image-specific classification with local and global discriminations, IEEE Transactions on Neural Network and Learning Systems, 29(9):4479-4486, 2018.
Chunjie Zhang, et. al., Object categorization using class-specific representation, IEEE Transactions on Neural Network and Learning Systems, 29(9):4528-4534, 2018.
Chunjie Zhang, et. al., Semantically modeling of object And context for categorization, IEEE Transactions on Neural Network and Learning Systems, 30(4):1013-1024, 2019.
Chunjie Zhang, et. al., Incremental codebook adaptation for visual representation and categorization, IEEE Transactions on Cybernetics, 48(7):2012-2023, 2018.
Chunjie Zhang, et. al., Multi-view, few-labeled object categorization by predicting labels with view consistency, IEEE Transactions on Cybernetics, 49(11):3834-3843, 2019.
Chunjie Zhang, et. al., Multiview semantic representation for visual recognition, IEEE Transactions on Cybernetics, 50(5): 2038-2049, 2020.
Chunjie Zhang, et. al., Multi-view label sharing for visual representations And Classifications, IEEE Transactions on Multimedia, 20(4):903-913, 2018.
Chunjie Zhang, et. al., Unsupervised and semi-supervised image classification with weak semantic consistency, IEEE Transactions on Multimedia, 21(10):2482-2491, 2019.
Chunjie Zhang, et. al., Contextual exemplar classifier-based image representation for classification, IEEE Transactions on Circuits and Systems for Video Technology, 27(8):1691-1699, 2017.
Chunjie Zhang, et. al., Image class prediction by joint object, context and background modeling, IEEE Transactions on Circuits and Systems for Video Technology, 28(2):428-438, 2018.
Chunjie Zhang, et. al., Bundled local features for image representation, IEEE Transactions on Circuits and Systems for Video Technology, 28(8):1719-1726, 2018.
Chunjie Zhang, et. al., Few-shot visual classification using image pairs with binary transformation, IEEE Transactions on Circuits and Systems for Video Technology, 30(9): 2867-2871, 2020.
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.
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.
专著/译著
专利
卢汉清、刘静、张淳杰，基于提升稀疏约束双线性模型的图像分类方法，发明专利
软件著作权
获奖与荣誉
2023年北京市科学技术奖自然科学奖二等奖
2022年福建省科学技术奖科学技术进步奖二等奖
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)
社会兼职
IEEE Senior Member
中国计算机学会 杰出会员
中国图象图形学学会 高级会员
中国人工智能学会 高级会员
中国科学院青年创新促进会 会员
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