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

 

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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. B.-B. Gao, C. Xing, C.-W. Xie, J. Wu, and X. Geng. Deep Label Distribution Learning with Label AmbiguityIEEE Transactions on Image Processing (IEEE TIP), 2017, 26(6): 2825-2838.
  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), 2017, 26(8): 3846-3858.
  3. X. Geng. Label Distribution LearningIEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2016, 28(7): 1734-1748. [Code] [Data].
  4. H. Zheng and X. Geng. A Multi-Task Model for Simultaneous Face Identification and Facial Expression RecognitionNeurocomputing, 2016, vol. 171: 515-523.
  5. Z. Zhang, M. Wang, X. Geng. Crowd Counting in Public Video Surveillance by Label Distribution LearningNeurocomputing, 2015, vol. 166: 151-163. [Code
  6. 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
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. X. Geng and Z. -H. Zhou. Image Region Selection and Ensemble for Face RecognitionJournal of Computer Science & Technology (JCST), 2006, 21(1): 116-125.
  14. Z.-H. Zhou and X. Geng. Projection Functions for Eye DetectionPattern Recognition (PRJ), 2004, 37(5): 1049-1056.

 Conference Papers
  1. Z. Huo and X. Geng. Ordinal Zero-Shot Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, in press. 
  2. Y. Ren and X. Geng. Sense Beauty by Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, in press. 
  3. 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, 1331-1337.
  4. 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, 2015-2021.
  5. 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.
  6. 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.
  7. 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.
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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. 
  23. 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. 
  24. 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. 

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Courses

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