耿新 - 东南大学 - 软件学院

个人简介

耿新，东南大学教授，计算机科学与工程学院、软件学院院长，人工智能学院执行院长。分别于2001年和2004年在南京大学计算机科学与技术系获得学士和硕士学位，于2008年获得澳大利亚Deakin大学博士学位。创建东南大学模式学习与挖掘（PALM）实验室并担任实验室主任至今。曾获得国家优秀青年科学基金、江苏省杰出青年科学基金资助，主持国家重点研发计划课题、国家自然科学基金等多个科研项目。曾获国家级教学成果奖一等奖、教育部自然科学奖一等奖等多项教学、科研奖励，入选国际工程与技术学会（IETI）杰出会士。在重要国际学术期刊和会议发表论文80余篇，编撰学术文集一部、撰写专著章节2章、申请国家发明专利15项，其中7项已获授权。现任教育部高校计算机类专业教指委人工智能专家委员会委员，中国计算机学会（CCF）学术工委、青年工委执行委员，中国图象图形学学会（CSIG）视觉大数据专委会副主任，IEEE计算机学会南京分会副主席，亚太国际人工智能会议（PRICAI）指导委员会委员，江苏省计算机学会副理事长，CCF人工智能与模式识别专委会常委、计算机视觉专委会委员，中国人工智能学会模式识别专委会常委、机器学习专委会委员；《IEEE Transactions on Multimedia》、《Electronics》、《Mathematical Foundations of Computing》等期刊编委，《Frontiers of Computer Science》青年编委；第15届亚太人工智能国际会议（PRICAI’18）程序委员会主席（PC Chair)，CVPR’21、ACMMM'18、ICPR’21、WACV’21领域主席（AC），2013年视觉与学习研讨会（VALSE’13）共同主席（Co-Chair），ACMMM'18领域主席（AC），IJCAI’15-’19、AAAI'18-'20高级程序委员会(SPC)委员。更多详情请见PALM个人主页。 Xin Geng is currently a professor and the director of the PALM lab of Southeast University, China. He received the B.Sc. (2001) and M.Sc. (2004) degrees in computer science from Nanjing University, China, and the Ph.D (2008) degree in computer science from Deakin University, Australia. His research interests include machine learning, pattern recognition, and computer vision. He has published over 80 refereed papers in these areas, including those published in prestigious journals and top international conferences. He has been an Associate Editor of IEEE T-MM and FCS, a Steering Committee Member of PRICAI, a Program Committee Chair for conferences such as PRICAI’18, VALSE’13, etc., an Area Chair for conferences such as CVPR’21、ACMMM'18、ICPR’21、WACV’21, and a Senior Program Committee Member for conferences such as IJCAI, AAAI, etc. For more information, please refer to his PALM homepage.耿新 Ph.D.,Professor Dean School of Computer Science and Engineering, College of Software Engineering, Southeast University Executive Dean School of Artifical Intelligence, Southeast University Founding Director Pattern Learning and Mining (PALM) Lab Book L. Wang and X. Geng eds. Behavioral Biometrics for Human Identification: Intelligent Applications, IGI Global, Hershey PA, USA, 2009. Book Chapters X. Geng, Facial Age Estimation: A Data Representation Perspective. Yun Fu ed., Human-Centered Social Media Analytics, Springer, NY, USA, 2014. X. Geng and K. Smith-Miles, Incremental Learning. Stan Z. Li ed., Encyclopedia of Biometrics, Springer, NY, USA, 2009. Courses Fundamentals of Data Structure (for undergraduate students) Pattern Recognition (for undergraduate students) Pattern Recognition (for graduate students) Codes & Data Label Distribution Learning

研究领域

目前主要从事机器学习、模式识别、计算机视觉等方面的研究。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Journal Articles 2020 H. Zhang, Y. Zhang, and X. Geng. Practical Age Estimation Using Deep Label Distribution Learning. Frontiers of Computer Science (FCS), 2020, in press. 2019 N. Xu, Y.-P. Liu, and X. Geng. Label Enhancement for Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019, in press. Q.-W. Zhang, M.-L. Zhang, Y.-K. Li, J.-P. Fang, and X. Geng. Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019, in press. M. Ling and X. Geng, Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning. IEEE Transactions on Image Processing (IEEE TIP), 2019, 28(11): 5691-5701. H. Zhang, X. Geng, Y. Zhang, and F. Cheng, Recurrent age estimation. Pattern Recognition Letters (PRL), 2019, 125: 271-277. M. Ling and X. Geng, Soft video parsing by label distribution learning. Frontiers of Computer Science (FCS), 2019, 13(2): 302–317. 2018 耿新, 徐宁, 标记分布学习与标记增强, 中国科学: 信息科学, 2018, 48(5): 521-530. M.-L. Zhang, Y.-K. Li, X.-Y. Liu, X. Geng. Binary relevance for multi-label learning: an overview. Frontiers of Computer Science (FCS), 2018, 12(2): 191-202. 2017 B.-B. Gao, C. Xing, C.-W. Xie, J. Wu, and X. Geng. Deep Label Distribution Learning with Label Ambiguity. IEEE Transactions on Image Processing (IEEE TIP), 2017, 26(6): 2825-2838. 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 Estimation, IEEE Transactions on Image Processing (IEEE TIP), 2017, 26(8): 3846-3858. 2016 X. Geng. Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2016, 28(7): 1734-1748. [Code] [Data]. H. Zheng and X. Geng. A Multi-Task Model for Simultaneous Face Identification and Facial Expression Recognition. Neurocomputing, 2016, vol. 171: 515-523. 2015 Z. Zhang, M. Wang, X. Geng. Crowd Counting in Public Video Surveillance by Label Distribution Learning. Neurocomputing, 2015, vol. 166: 151-163. [Code] Earlier X. Geng, C. Yin, and Z.-H. Zhou. Facial Age Estimation by Learning from Label Distributions. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2013, 35(10): 2401-2412. [Code] X. Geng, K. Smith-Miles, Z.-H. Zhou, and L. Wang. Face Image Modeling by Multilinear Subspace Analysis with Missing Values. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics (IEEE TSMC-B), 2011, 41(3): 881 - 892. L. Wang, X. Geng, J. Bezdek, C. Leckie, K. Ramamohanarao, Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2010, 22(10): 1401-1414. 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. X. Geng, Z.-H. Zhou, and K. Smith-Miles, Individual Stable Space: An Approach to Face Recognition under Uncontrolled Conditions. IEEE Transactions on Neural Networks (IEEE TNN), 2008, 19(8): 1354-1368. X. Geng, Z.-H. Zhou, and K. Smith-Miles. Automatic Age Estimation based on Facial Aging Patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2007, 29(12): 2234-2240. X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised Nonlinear Dimensionality Reduction for Visualization and Classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics (IEEE TSMC-B), 2005, 35 (6): 1098-1107. X. Geng and Z. -H. Zhou. Image Region Selection and Ensemble for Face Recognition. Journal of Computer Science & Technology (JCST), 2006, 21(1): 116-125. Z.-H. Zhou and X. Geng. Projection Functions for Eye Detection. Pattern Recognition (PRJ), 2004, 37(5): 1049-1056. Conference Papers 2020 N. Xu, J. Shu, Y.-P. Liu, X. Geng, Variational Label Enhancement, In: Proceedings of the International Conference on Machine Learning (ICML'20), Vienna, Austria, 2020, in press. J. Lv, M. Xu, L. Feng, G. Niu, X. Geng, M. Sugiyama, Progressive Identification of True Labels for Partial-Label Learning, In: Proceedings of the International Conference on Machine Learning (ICML'20), Vienna, Austria, 2020, in press. S. Chen, J. Wang, Y. Chen, Z. Shi, X. Geng, and Y. Rui. Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’20), Seattle, WA, 2020, in press. Y. Gao, Y. Zhang, X. Geng, Label Enhancement for Label Distribution Learning via Prior Knowledge, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020, in press. Y. Liu, N. Xu, Y. Zhang, X. Geng, Label Distribution for Learning with Noisy Labels, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020, in press. N. Xu, Y.-P. Liu, X. Geng. Partial Multi-Label Learning with Label Distribution. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, 2020, in press. 2019 K. Su, D. Yu, Z. Xu, X. Geng and C. Wang. Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’19), Long Beach, CA, 2019, 5674-5682. J. Wang, X. Geng. Classification with Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, 2019, 3712-3718. K. Wang, X. Geng. Discrete Binary Coding based Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, 2019, 3733-3739. J. Lv, N. Xu, R. Zheng, X. Geng. Weakly Supervised Multi-Label Learning via label Enhancement. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, 2019, 3101-3107. C. Xu and X. Geng, Hierarchical Classification based on Label Distribution Learning. In: Proceedings of the 33rd AAAI C, onference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 5533-5540. K. Su and X. Geng, Soft Facial Landmark Detection by Label Distribution Learning. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 5008-5015. J. Wang and X. Geng, Theoretical Analysis of Label Distribution Learning. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 5256-5263. N. Xu, J. Lv and X. Geng, Partial Label Learning via Label Enhancement. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 5557-5564. 2018 N. Xu, A. Tao and X. Geng. Label Enhancement for Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, 2926-2932. K. Wang and X. Geng. Binary Coding based Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, 2783-2789. C.-L. Peng, A. Tao and X. Geng. Label Embedding Based on Multi-Scale Locality Preservation. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, 2623-2629. Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, and Xin Geng. Age Estimation Using Expectation of Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, 712-718. R. Shao, N. Xu, X. Geng. Multi-label Learning with Label Enhancement. In: Proceedings of the 18th IEEE International Conference on Data Mining (ICDM'18), Singapore, 2018, 437-446. 2017 Z. Huo and X. Geng. Ordinal Zero-Shot Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, 1331-1337. 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, 2648-2654. 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. 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. 2016 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. 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. 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] 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. 2015 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] 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] 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] Earlier 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] 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] 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] 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] 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. 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. 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. 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. 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. 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. 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. 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.