————————————————————————————————————————————
Correspondence

 Mail: School of Computer Science and Engineering, 
          Jiulonghu Campus, Southeast University, 
          Nanjing 211189, China

Office: 516, Computer Science Building, 
            Jiulonghu Campus, Southeast University
 

 

Xin Geng
耿 新

Ph.D.,Professor

Founding Director
Pattern Learning and Mining (PALM) Lab

Vice Dean (Research)
School of Computer Science and EngineeringSoutheast University

Email: xgeng AT seu.edu.cn
 
Tel: +86-25-52090876

Fax: +86-25-52090876
————————————————————————————————————————————

Research Interests | Selected Publications | Courses | Codes & Data
————————————————————————————————————————————
Research Interests

 

————————————————————————————————————————————
Selected Publications

 Book
  1.  L. Wang and X. Geng eds. Behavioral Biometrics for Human Identification: Intelligent Applications, IGI Global, Hershey PA, USA, 2009.

 Book Chapters
  1. X. Geng, Facial Age Estimation: A Data Representation Perspective. Yun Fu ed., Human-Centered Social Media Analytics, Springer, NY, USA, 2014.
  2. X. Geng and K. Smith-Miles, Incremental Learning. Stan Z. Li ed., Encyclopedia of Biometrics, Springer, NY, USA, 2009.

 Journal Articles
  1. X. Geng. Label Distribution LearningIEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2016, 28(7): 1734-1748. [Code] [Data].
  2. Z. He, X. Li, Z. Zhang, F. Wu, X. Geng, Y. Zhang, M.-H Yang, and Y. Zhuang. Data-Dependent Label Distribution Learning for Age EstimationIEEE Transactions on Image Processing (IEEE TIP), 2016, in press.
  3. H. Zheng and X. Geng. A Multi-Task Model for Simultaneous Face Identification and Facial Expression RecognitionNeurocomputing, 2016, vol. 171: 515-523.
  4. Z. Zhang, M. Wang, X. Geng. Crowd Counting in Public Video Surveillance by Label Distribution LearningNeurocomputing, 2015, vol. 166: 151-163. [Code
  5. X. Geng, C. Yin, and Z.-H. Zhou. Facial Age Estimation by Learning from Label DistributionsIEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2013, 35(10): 2401-2412. [Code
  6. X. Geng, K. Smith-Miles, Z.-H. Zhou, and L. Wang. Face Image Modeling by Multilinear Subspace Analysis with Missing ValuesIEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics (IEEE TSMC-B), 2011, 41(3): 881 - 892.
  7. L. Wang, X. Geng, J. Bezdek, C. Leckie, K. Ramamohanarao, Enhanced Visual Analysis for Cluster Tendency Assessment and Data PartitioningIEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2010, 22(10): 1401-1414.
  8. X. Geng, K. Smith-Miles, L. Wang, M. Li, Q. Wu, Context-Aware Fusion: A Case Study on Fusion of Gait and Face for Human Identification in Video. Pattern Recognition (PRJ), 2010, 43(10): 3660-3673.
  9. X. Geng, Z.-H. Zhou, and K. Smith-Miles, Individual Stable Space: An Approach to Face Recognition under Uncontrolled ConditionsIEEE Transactions on Neural Networks (IEEE TNN), 2008, 19(8): 1354-1368.
  10. X. Geng, Z.-H. Zhou, and K. Smith-Miles. Automatic Age Estimation based on Facial Aging PatternsIEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2007, 29(12): 2234-2240.
  11. X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised Nonlinear Dimensionality Reduction for Visualization and ClassificationIEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics (IEEE TSMC-B), 2005, 35 (6): 1098-1107.
  12. X. Geng and Z. -H. Zhou. Image Region Selection and Ensemble for Face RecognitionJournal of Computer Science & Technology (JCST), 2006, 21(1): 116-125.
  13. Z.-H. Zhou and X. Geng. Projection Functions for Eye DetectionPattern Recognition (PRJ), 2004, 37(5): 1049-1056.

 Conference Papers
  1. X. Geng and M. Ling. Soft Video Parsing by Label Distribution Learning. In: Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI’17), San Francisco, CA, 2017, in press.
  2. P. Hou, X. Geng, Z. Huo, and J-Q Lv. Semi-supervised Adaptive Label Distribution Learning for Facial Age Estimation. In: Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI’17), San Francisco, CA, 2017, in press.
  3. D. Zhou, Y. Zhou, X. Zhang, Q. Zhao and X. Geng. Emotion Distribution Learning from Texts. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'16), Austin, TX, 2016,  638-647.
  4. X. Yang, X. Geng and D.-Y. Zhou. Sparsity Conditional Energy Label Distribution Learning for Age Estimation. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'16), New York City, NY, 2016, 2259-2265.
  5. C. Xing, X. Geng and Hui Xue. Logistic Boosting Regression for Label Distribution Learning. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’16), Las Vegas, NV, 2016, 4489-4497.
  6. P. Hou, X. Geng and M.-L. Zhang. Multi-Label Manifold Learning. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, AZ, 2016, 1680-1686. [Code]
  7. Y.-K. Li, M.-L. Zhang and X. Geng. Leveraging Implicit Relative Labeling-importance Information for Effective Multi-label Learning. In: Proceedings of the 15th IEEE International Conference on Data Mining (ICDM'15), Atlantic City, NJ, 2015, 251-260. [Code]
  8. Y. Zhou, H. Xue and X. Geng, Emotion Distribution Recognition from Facial Expressions. In: Proceedings of the 23rd ACM International Conference on Multimedia (ACM MM'15), Brisbane, Australia, 2015, 1247-1250. [Code]
  9. X. Geng and P. Hou. Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, 2015, 3511-3517. [Code]
  10. X. Geng and Y. Xia. Head Pose Estimation Based on Multivariate Label Distribution. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'14), Columbus, OH, 2014, pp. 1837-1842. [Code]
  11. X. Geng and L. Luo. Multilabel Ranking with Inconsistent Rankers. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'14), Columbus, OH, 2014, pp. 3742-3747. [Code]
  12. X. Geng, Q. Wang, and Y. Xia. Facial Age Estimation by Adaptive Label Distribution Learning. In: Proceedings of the 22nd International Conference on Pattern Recognition (ICPR'14, Oral), Stockholm, Sweden, 2014, pp. 4465-4470. [Code]
  13. X. Geng, K. Smith-Miles, Z.-H. Zhou. Facial Age Estimation by Learning from Label Distributions. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI'10), Atlanta, GA, 2010, pp. 451-456. [Code]
  14. X. Geng, K. Smith-Miles, Z.-H. Zhou, and L. Wang. Face Image Modeling by Multilinear Subspace Analysis with Missing Values. In: Proceedings of the 17th ACM International Conference on Multimedia (ACM MM'09), Beijing, China, 2009, pp. 629-632.
  15. X. Geng and K. Smith-Miles. Facial Age Estimation by Multilinear Subspace Analysis. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'09), Taipei, Taiwan, 2009, pp. 865-868.
  16. X. Geng, K. Smith-Miles, and Z.-H. Zhou. Facial Age Estimation by Nonlinear Aging Pattern Subspace. In: Proceedings of the 16th ACM International Conference on Multimedia (ACM MM'08), Vancouver, Canada, 2008, pp. 721-724.
  17. L. Wang, X. Geng, C. Leckie, R. Kotagiri, Moving Shape Dynamics: A Signal Processing Perspective. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'08), Anchorage, AK, 2008, pp. 1-8.
  18. L. Wang, X. Geng, J. Bezdek, C. Leckie, and R. Kotagiri, SpecVAT: Enhanced Visual Cluster Analysis. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08), Pisa, Italy, 2008, pp. 638-647.
  19. X. Geng, L. Wang, M. Li, Q. Wu, and K. Smith-Miles. Adaptive Fusion of Gait and Face for Human Identification in Video. In: Proceedings of IEEE 2008 Workshop on Application of Computer Vision (WACV'08), Copper Mountain Resort, CO, 2008, pp. 1-6.
  20. X. Geng, Z.-H. Zhou, Y. Zhang, G. Li, and H. Dai. Learning from Ffacial Aging Patterns for Automatic Age Estimation. In: Proceedings of the 14th ACM International Conference on Multimedia (ACM MM'06), Santa Barbara, CA, 2006, pp. 307-316. 
  21. X. Geng, Z.-H. Zhou, and H. Dai. Uncontrolled Face Recognition by Individual Stable Neural Network. In: Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI'06), Guilin, China, LNAI 4099, 2006, pp. 553-562. 
  22. X. Geng, G. Li, Y. Ye, Y. Tu, and H. Dai. Abnormal Behavior Detection for Early Warning of Terrorist Attack. In: Proceedings of the 19th Australian Joint Conference on Artificial Intelligence (AI'06), Hobart, Tasmania, LNAI 4304, 2006, pp. 1002-1009. 

————————————————————————————————————————————
Courses

  1. Fundamentals of Data Structure (for undergraduate students)
  2. Pattern Recognition (for undergraduate students)
  3. Pattern Recognition (for graduate students)
————————————————————————————————————————————
Codes & Data

   Label Distribution Learning

 
 
 
 
My research interests include machine learning, pattern recognition, and computer vision

Most of my recent focus is on Label Distribution Learning (LDL). Label Distribution Learning is a novel machine learning paradigm. A label distribution covers a certain number of labels, representing the degree to which each label describes the instance. LDL is a general learning framework which includes both single-label and multi-label learning as its special cases.

The right is the top-100 word cloud generated from my recent published papers.

中文简历               Brief CV