冯建江 副教授
信息处理研究所
通信地址：北京清华大学自动化系 邮政编码：100084
联系电话：
电子信箱：jfeng@tsinghua.edu.cn

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教育背景

1996年9月-2000年7月 北京邮电大学电信工程学院 学士
2000年9月-2006年12月 北京邮电大学电信工程学院 博士

工作履历

2007.1-2007.10 香港理工大学计算机系 研究助理
2008.1-2009.10 美国密西根州立大学计算机系 博士后
2009.12-2012.11 清华大学自动化系 讲师
2012.12-2018.11 清华大学自动化系 副教授
2018.12起 清华大学自动化系 副教授（长聘）

学术兼职

《Image and Vision Computing》编委
中国生物特征识别会议（CCBR 2015-2019）程序委员会主席
国际会议（IJCB 2014, ICB 2015-2016, BTAS 2016）领域主席
中国人工智能学会模式识别专委会、中国计算机学会计算机视觉专委会委员

研究领域

指纹识别、计算机视觉、医学图像分析

研究概况

一、在研项目
[1] 国家自然科学基金优秀青年基金，“生物特征识别”，2017.1-2019.12，负责人
[2] 国家重点研发计划子课题，“场景视觉感知中的相机网络标定及多目标跟踪关键技术”，2016.7-2020.6，子课题负责人
二、结题项目
[1] 国家自然科学基金青年基金，“高分辨率掌纹识别的关键问题研究”，2010.1-2012.12，负责人
[2] 国家自然科学基金面上项目，“现场掌纹的自动特征提取与匹配”，2014.1-2017.12，负责人

奖励与荣誉

一、科研奖励及荣誉
[1] 2018年获国家技术发明二等奖（排名第2）
[2] 2016年获国家自然科学基金优秀青年基金
[3] 2015年获教育部自然科学二等奖（排名第1）
[4] 2011年获中国电子学会电子信息科学技术奖一等奖（排名第3）
[5] 2011年获教育部自然科学二等奖（排名第2）
二、论文奖励
[1] 2017年获国际生物特征识别联合会议（IJCB）最佳学生论文提名奖（排名第2）
[2] 2012年获ICIEA最佳论文奖（排名第2）
[3] 2011年获国际生物特征识别联合会议（IJCB）最佳学生论文奖（排名第2）
[4] 2010年获SIBGRAPI最佳学生论文奖（排名第3）

学术成果

一、指纹识别
[1]Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou, “Efficient Rectification of Distorted Fingerprints”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 1, pp. 156-169, 2018.
[2]Zhe Cui, Jianjiang Feng, Shihao Li, Jiwen Lu, Jie Zhou: “2-D Phase Demodulation for Deformable Fingerprint Registration”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3153-3165, 2018.
[3]Jian Li, Jianjiang Feng, C.C. Jay Kuo, “Deep Convolutional Neural Network for Latent Fingerprint Enhancement”, Signal Processing: Image Communication, vol. 60, pp. 52-63, 2018.
[4]Xuanbin Si, Jianjiang Feng, Bo Yuan, Jie Zhou, “Dense Registration of Fingerprints”, Pattern Recognition, vol. 63, pp. 87-101, 2017.
[5]Yijing Su, Jianjiang Feng, Jie Zhou, “Fingerprint Indexing with Pose Constraint”, Pattern Recognition, vol. 54, pp. 1-13, 2016.
[6]Xuanbin Si, Jianjiang Feng, Jie Zhou, Yuxuan Luo, “Detection and Rectification of Distorted Fingerprints”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 3, pp. 555-568, 2015.
[7]Xiao Yang, Jianjiang Feng, Jie Zhou, “Localized Dictionaries Based Orientation Field Estimation for Latent Fingerprints”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 5, pp. 955-969, 2014.
[8]Jianjiang Feng, Jie Zhou, Anil K. Jain, “Orientation Field Estimation for Latent Fingerprint Enhancement”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 4, pp. 925-940, 2013.
[9]Alessandra A. Paulino, Jianjiang Feng, Anil K. Jain, “Latent Fingerprint Matching Using Descriptor-Based Hough Transform”, IEEE Transactions on Information Forensics and Security, vol. 8, no. 1, pp. 31-45, 2013.
[10]Yao Yi, Liangcai Cao, Wei Guo, Yaping Luo, Jianjiang Feng, Qingsheng He, Guofan Jin, “Optical Fingerprint Recognition Based on Local Minutiae Structure Coding”, Optics Express, vol. 21, no. 14, pp. 17108-17121, 2013.
[11]Jianjiang Feng, Yuan Shi, Jie Zhou, “Robust and Efficient Algorithms for Separating Latent Overlapped Fingerprints”, IEEE Transactions on Information Forensics and Security, vol. 7, no. 5, pp. 1498-1510, 2012.
[12]Jifeng Dai, Jianjiang Feng, Jie Zhou, “Robust and Efficient Ridge-Based Palmprint Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 8, pp. 1618-1632, 2012.
[13]Soweon Yoon, Jianjiang Feng, and Anil K. Jain, “Altered Fingerprints: Analysis and Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 3, pp. 451-464, 2012.
[14]Fanglin Chen, Jianjiang Feng, Anil K. Jain, Jie Zhou, Jin Zhang, “Separating Overlapped Fingerprints”, IEEE Transactions on Information Forensics and Security, vol. 6, no. 2, pp. 346-359, 2011.
[15]Jianjiang Feng, Anil K. Jain, “Fingerprint Reconstruction: From Minutiae to Phase”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 2, pp. 209-223, 2011.
[16]Anil K. Jain, Jianjiang Feng, “Latent Fingerprint Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 1, pp. 88-100, 2011.
[17]Anil K. Jain, Jianjiang Feng, Karthik Nandakum, “Fingerprint Matching”, IEEE Computer Magazine, vol. 43, no. 2, pp. 36-44, 2010.
[18]Anil K. Jain, Jianjiang Feng, “Latent Palmprint Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no 6, pp. 1032-1047, 2009.
[19]Jianjiang Feng, “Combining Minutiae Descriptors for Fingerprint Matching”, Pattern Recognition, vol. 41, no. 1, pp. 342-352, 2008.
[20]Jianjiang Feng, Zhengyu Ouyang, Anni Cai, “Fingerprint Matching Using Ridges”, Pattern Recognition, vol. 39, no. 11, pp. 2131-2140, 2006.
二、计算机视觉
[1]Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou, “Learning Deep Binary Descriptor with Multi-Quantization”, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2018.**, 2018.
[2]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Ordinal Deep Learning for Facial Age Estimation”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 2, pp. 486-501, 2019.
[3]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Deep Localized Metric Learning”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 10, pp. 2644-2656, 2018.
[4]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Two-Stream Transformer Networks for Video-Based Face Alignment”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 11, pp. 2546-2554, 2018.
[5]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Context-Aware Local Binary Feature Learning for Face Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1139-1153, 2018.
[6]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Label-Sensitive Deep Metric Learning for Facial Age Estimation”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 292-305, 2018.
[7]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Topology Preserving Structural Matching for Automatic Partial Face Recognition”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 7, pp. 1823-1837, 2018.
[8]Xiaojuan Cheng, Jiwen Lu, Jianjiang Feng, Bo Yuan, Jie Zhou, “Scene Recognition with Objectness”, Pattern Recognition, vol. 74, pp. 474-487, 2018.
[9]Xin Yuan, Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Reconstruction-Based Supervised Hashing”, Pattern Recognition, vol. 79, pp. 147-161, 2018.
[10]Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Nonlinear Structural Hashing for Scalable Video Search”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 6, pp. 1421-1433, 2018.
[11]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Group-Aware Deep Feature Learning for Facial Age Estimation”, Pattern Recognition, vol. 66, pp. 82-94, 2017.
[12]Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Multi-modal Uniform Deep Learning for RGB-D Person Re-identification”, Pattern Recognition, vol. 72, pp. 446-457, 2017.
[13]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Learning Deep Sharable and Structural Detectors for Face Alignment”, IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1666-1678, 2017.
[14]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Learning Rotation-Invariant Local Binary Descriptor”, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3636-3651, 2017.
[15]Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Nonlinear Discrete Hashing”, IEEE Transactions on Multimedia, vol. 19, no. 1, pp. 123-135, 2017.
[16]Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Nonlinear Sparse Hashing”, IEEE Transactions on Multimedia, vol. 19, no. 9, pp. 1996-2009, 2017.
[17]Kailin Ge, Han Hu, Jianjiang Feng, Jie Zhou, “Depth Estimation Using a Sliding Camera”, IEEE Transactions on Image Processing, vol. 25, no. 2, pp.726-739, 2016.
[18]Han Hu, Jianjiang Feng, Jie Zhou, “Exploiting Unsupervised and Supervised Constraints for Subspace Clustering”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 8, pp. 1542-1557, 2015.
[19]Xianwei Xu, Lu Tian, Jianjiang Feng, Jie Zhou, “OSRI: A Rotationally Invariant Binary Descriptor”, IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 2983-2995, 2014.
[20]Han Hu, Jianjiang Feng, Chuan Yu, Jie Zhou, “Multi-class Constrained Normalized Cut with Hard, Soft, Unary and Pairwise Priors”, IEEE Transactions on Image Processing, vol. 22, no. 11, pp. 4328-4340, 2013.
三、医学图像分析
[1]Cheng Jin, Jianjiang Feng, Lei Wang, Jiang Liu, Heng Yu, Jiwen Lu, Jie Zhou, “Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-dimensional Conditional Random Fields”, IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 6, pp. 1906-1916, 2018.
[2]Cheng Jin, Jianjiang Feng, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu, Jie Zhou, “Left Atrial Appendage Segmentation and Quantitative Assisted Diagnosis of Atrial Fibrillation Based on Fusion of Temporal-Spatial Information”, Computers in Biology and Medicine, vol. 96, pp. 52-68, 2018.
四、开设课程
本科生《数字图象处理》，研究生《信息论基础》