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Ran He (赫然)
 
Ran He (赫然)

 

Ran He received the B.E. degree in Computer Science from Dalian University of Technology, the M.S. degree in Computer Science from Dalian University of Technology, and Ph.D. degree in Pattern Recognition and Intelligent Systems from Institute of Automation, Chinese Academy of Sciences in 2001, 2004 and 2009, respectively. Since September 2010, Dr. He has joined NLPR where he is currently a project Professor. He is currently a member of IEEE (Institute of Electrical and Electronics Engineers), serves as an associate editor of Neurocomputing (Elsevier), and serves on the program committee of several conferences.
    His research interests focus on information theoretic learning, pattern recognition, and computer vision. He has published over 50 journal and conference papers in these fields, and has widely published at highly ranked international journals, such as IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Trans. on Information Forensics & Security (TIFS), and Neural Computation (NECO), and leading international conferences, such as Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vission (ICCV) and the AAAI Conference on Artificial Intelligence (AAAI).
     The published codes of my research in OpenPR have been downloaded by 3501 times. [OpenPR report],[phd thesis], [Curriculum Vitae], [Google Scholar]
 
Research Area
 
Awards
   The second prize of Wenjun Wu Artificial Intelligence Innovation Award of China for "Information theoretic foundation for robust pattern recognition", 2015.
   ACM Beijing rising star award, 2015.
   Member of Youth Innovation Promotion Association, Chinese Academy of Sciences, 2015
   Microsoft Research Asia StarTrack - Visiting Young Faculty Program, 2015.
   GUCAS Lu Jiaxi Young Talent Award, Chinese Academy of Sciences, 2014.
   ACPR Best Poster Award. Robust Low-Rank Representation via Correntropy, 2013.
   Second Prize of DaLian Best Paper Award of Science, 2010.
 
Book
Ran He, Baogang Hu, Xiaotong Yuan and Liang Wang. Robust recognition via information theoretic learning. SpringerBriefs in Computer Science, July, 2014.
 
Invited talks and tutorials
  1. Tutorial (Canon Information Technology,Beijing, May, 2012): Compressed Sensing via HQ minimization.
  2. Talk (Summer school on Pattern Recognition, June, 2015): Robust pattern recognition via information theory.
  3. Talk (Princeton University, Nov., 2013): HQ minimization- theory and methods.
  4. Talk (Rensselaer Polytechnic Institute, Sep., 2013): HQ minimization- theory and methods.
  5. Talk (Beijing Society of Image and Graphics, May, 2013): Recent Progress of Biometrics Research at CASIA.
  6. Talk (Asian Biometrics Consortium,Korea, Nov., 2012): Recent Progress of Biometrics Research at CASIA.
 
Academic Activities
  1. Editorial board member, IET Image Processing, 2012-
  2. Editorial board member,   Neurocomputing (Elsevier), 2011-
  3. Area Chair, Track III: Pattern Recognition and Applications for ICPR, 2012.
  4. The member of the council of the Beijing Society of Image and Graphics
  5. Organizing Committee Chair
     the 9th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2012.
     the 6th Chinese Conference on Biometric Recognition (CCBR), 2011.
  6. Publication Chair
     the 7th Chinese Conference on Biometric Recognition (CCBR), 2012.
     the 14th IEEE Int. Conf. on Computational Science and Engineering (CSE), 2011.
  7. Session Chair, IEEE Youth Conference on Information, Computing and Telecommunications (YCICT), 2010.
 
Researching Projects
  1. The Doctoral Program of the Ministry of Education of China (#20100041120009), 2011-2012.
  2. The Natural Science Foundation of China (#61103155), 2012-2014.
  3. The Natural Science Foundation of China (#61473289), 2015-2018.
  4. The Beijing association for science and technology key funds, 2016.
 
Selected Publications
  1. Ran He, Liang Wang, Zhenan Sun, Yingya Zhang, and Bo Li. Information Theoretic Subspace Clustering. IEEE Transactions on Neural Network and Learning System, 2015, accepted.
  2. Ran He, Man Zhang, Liang Wang, Ye Ji, and Qiyue Yin. Cross-Modal Learning via Pairwise Constraints. IEEE Transactions on Image Processing, 2015, 24(12): 5543-5556.
  3. Ran He, Yingya Zhang, Zhenan Sun, and Qiyue Yin. Robust Subspace Clustering with Complex Noise. IEEE Transactions on Image Processing, 2015, 24(11): 4001-4013.
  4. Ran He, Yinghao Cai, Tieniu Tan, Larry Davis. Learning Predictable Binary Codes for Face Indexing. Elsevier Pattern Recognition, 2015, 48(10): 3160–3168.
  5. Ran He, Wei-Shi Zheng,Tieniu Tan, and Zhenan Sun. Half-quadratic based Iterative Minimization for Robust Sparse Representation. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2014, 36(2): 261-275. [code1][code2]
  6. Ran He, Tieniu Tan, and Liang Wang. Recovery of Corrupted Low-rank Matrix by Implicit Regularizers. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2014, 36(4): 770-783.
  7. Ran He, Wei-Shi Zheng, Bao-Gang Hu, and Xiang-Wei Kong. Two-stage Nonnegative Sparse Representation for Large-scale Face Recognition. IEEE Trans. on Neural Network and Learning System, 2013, 24(1):35 - 46. [code]
  8. Ran He, Xiaotong Yuan and Wei-Shi Zheng. A Fast Convex Conjugated Algorithm for Sparse Recovery. Neurocomputing, 2013. [code]
  9. Ran He, Tieniu Tan, Liang Wang and Wei-Shi Zheng. L21 Regularized Correntropy for Robust Feature Selection. In IEEE Computer Vision and Pattern Recognition (CVPR), 2012. [poster] [code]
  10. Ran He, Wei-Shi Zheng, Bao-Gang Hu, XiangWei Kong. A Regularized Correntropy Framework for Robust Pattern Recognition. MIT Neural Computation, 2011, 23(8):2074-2100. [code] [VerticalNews]
  11. Ran He, Zhenan Sun, Tieniu Tan, Wei-Shi Zheng. Recovery of Corrupted Low-Rank Matrices via Half-Quadratic based Nonconvex Minimization. In IEEE Computer Vision and Pattern Recognition (CVPR), 2011. [poster]
  12. Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiang-Wei Kong. Nonnegative Sparse Coding for Discriminative Semi-supervised Learning. In IEEE Computer Vision and Pattern Recognition (CVPR), 2011. [code][poster]
  13. Ran He, Wei-Shi Zheng, Bao-Gang Hu. Maximum Correntropy Criterion for Robust Face Recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2011, 33(8):1561-1576. [code] [VerticalNews]
  14. Ran He, Bao-Gang Hu, Wei-Shi Zheng, XiangWei Kong. Robust Principal Component Analysis Based on Maximum Correntropy Criterion. IEEE Transactions on Image Processing, 2011, 20(6):1485-1494. [VerticalNews]
  15. Ran He, Bao-Gang Hu, Wei-Shi Zheng, YanQing Guo. Two-stage Sparse Representation for Robust Recognition on Large-scale Database. In Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2010. [code]
  16. Ran He, Bao-Gang Hu, XiaoTong Yuan, Wei-Shi Zheng. Principal Component Analysis Based on Nonparametric Maximum Entropy. Neurocomputing, 2010, 73:1840-1952. [code]
  17. Ran He, YongJi Wang, Qing Wang, JinHui Zhou and ChenYong Hu. Improved particle swarm optimization based on self-adaptive escape velocity. Chinese Journal of Software, 2005:16(12),2036-2044.(Google citation: 237)