Jianjiang Feng, Ph.D.

Associate Professor

Department of Automation
Tsinghua University,  Beijing 100084, China
Tel: +86 (10) 62795528
Email: jfeng@tsinghua.edu.cn

 

Education background

Ph. D. in Communication Engineering, Beijing University of Posts and Telecommunications, 2007

B.S. in Communication Engineering, Beijing University of Posts and Telecommunications, 2000

Experience

Associate Professor (tenured), Department of Automation, Tsinghua University, 2018.12-now

Associate Professor, Department of Automation, Tsinghua University, 2012.12-2018.11

Lecturer, Department of Automation, Tsinghua University, 2009.12-2012.11

PostDoc, Department of Computer Science & Engineering, Michigan State University, 2008.1-2009.10

Research Associate, Department of Computing, The Hong Kong Polytechnic University, 2007.1-2007.10

Concurrent Academic

Associate Editor: Image and Vision Computing.

Area Editor: IJCB 2014, ICB 2015-2016, BTAS 2016

Program Committee Chair: CCBR 2015-2019

Areas of Research Interests/ Research Projects

Now:
NSFC, “Biometric recognition”, 2017.1-2019.12
MOST, “Camera network calibration and multi-object tracking”, 2016.7-2020.6

Completed: 
NSFC, “Latent palmprint recognition”, 2014.1-2017.12
NSFC, “High resolution palmprint recognition”, 2011.1-2013.12

Research Status

Fingerprint Recognition, Computer Vision, Medical Image Analysis

Honors And Awards

1. Awards
[1] National Award for Technological Invention (Second Class), 2018
[2] Ministry of Education of China, Natural Science Award (Second Class), 2015
[3] Chinese Association of Electronics, Science and Technology Award (First Class), 2011
[4] Ministry of Education of China, Natural Science Award (Second Class), 2011

2. Paper Awards
[1] SIBGRAPI 2010 Best Student Paper Award (Alessandra Paulino, Jianjiang Feng, Anil K. Jain)
[2] IJCB 2011 Best Student Paper Award (Soweon Yoon, Jianjiang Feng, Anil K. Jain)
[3] ICIEA 2012 Best Paper Award (Yijing Su, Jianjiang Feng, Jie Zhou)
[4] IJCB 2017 Best Student Paper Runner-up Award (Jiahong Ouyang, Jianjiang Feng, Jiwen Lu, Zhenhua Guo, Jie Zhou)

Academic Achievement

1. Fingerprint Recognition
[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.

2. Computer Vision
[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.2018.2858760, 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.

3. Medical Image Analysis
[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.