1. X. Geng, X. Qian, Z. Huo, and Y. Zhang. Head Pose Estimation Based on Multivariate Label Distribution. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022, 44(4): 1974-1991.
2. K. Smith-Miles and X. Geng. Revisiting Facial Age Estimation with New Insights from Instance Space Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022, 44(5): 2689-2697.
3. N. Xu, J. Li, Y.-P. Liu, and X. Geng. Trusted-Data-Guided Label Enhancement on Noisy Labels. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022, in press.
4. L. Qi, L. Wang, J. Huo, Y. Shi, X. Geng, and Y. Gao. Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022, 32(5): 2921-2936..
5. Y. Ren, N. Xu, M. Ling, and X. Geng. Label Distribution for Multimodal Machine Learning. Frontiers of Computer Science (FCS), 2022, 16: 161306.
6. M. Zhang, N. Xu, and X. Geng. Feature-Induced Label Distribution for Learning with Noisy Labels. Pattern Recognition Letters (PRL), 2022, 155: 107-113.

7. X. Geng, R. Zheng, J. Lv, and Y. Zhang. Multilabel Ranking with Inconsistent Rankers. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021, in press.
8. J. Wang, X. Geng and H. Xue. Re-weighting Large Margin Label Distribution Learning for Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021, in press.
9. N. Xu, Y.-P. Liu and X. Geng. Label Enhancement for Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021, 33(4): 1632-1643.
10. M.-L. Zhang, Q.-W. Zhang, J.-P. Fang, Y.-K. Li, and X. Geng. Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021, 33(5): 2057-2070.
11. K. Wang, N. Xu, M. Ling, and X. Geng. Fast Label Enhancement for Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021, in press.
12. C. Tan, S. Chen, G. Ji, and X. Geng. A Novel Probabilistic Label Enhancement Algorithm for Multi-label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021, in press.
13. N. Xu, Y.-P. Liu, Y. Zhang, X. Geng. Progressive Enhancement of Label Distributions for Partial Multi-Label Learning. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2021, in press.
14. J. Wang and X. Geng. Label Distribution Learning by Exploiting Label Distribution Manifold. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2021, in press.
15. J. Lv, T. Wu, C. Peng, Y. Liu, N. Xu, and X. Geng. Compact Learning for Multi-Label Classification. Pattern Recognition (PRJ), 2021, 113: 107833.
16. H. Zhang, Y. Zhang, and X. Geng. Practical Age Estimation Using Deep Label Distribution Learning. Frontiers of Computer Science (FCS), 2021, 15(3): 153318.

17. C. Tan, G. Ji, X. Geng, .and S. Chen. A Novel Probabilistic Label Enhancement Algorithm for Multi-label Distribution Learning. IEEE Transactions on Cybernetics (IEEE TCYB), 2020, in press.

18. 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.
19. H. Zhang, X. Geng, Y. Zhang, and F. Cheng, Recurrent age estimation. Pattern Recognition Letters (PRL), 2019, 125: 271-277.
20. M. Ling and X. Geng, Soft video parsing by label distribution learning. Frontiers of Computer Science (FCS), 2019, 13(2): 302–317.

21. 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.
22. 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.

23. 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.
24. 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.

25. X. Geng. Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2016, 28(7): 1734-1748. [Code] [Data].
26. H. Zheng and X. Geng. A Multi-Task Model for Simultaneous Face Identification and Facial Expression Recognition. Neurocomputing, 2016, vol. 171: 515-523.

27. Z. Zhang, M. Wang, X. Geng. Crowd Counting in Public Video Surveillance by Label Distribution Learning. Neurocomputing, 2015, vol. 166: 151-163. [Code] 

28. 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] 
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. Z.-H. Zhou and X. Geng. Projection Functions for Eye Detection. Pattern Recognition (PRJ), 2004, 37(5): 1049-1056.

1. S.-Y. Xia, J. Lv, N. Xu, and X. Geng, Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'22), Vienna, Austria, 2022, in press.
2. X. Zhao, Y. An, N. Xu, and X. Geng, Fusion Label Enhancement for Multi-Label Learning, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'22), Vienna, Austria, 2022, in press.
3. Q.-F. Wang, X. Geng, S.-X. Lin, S.-Y. Xia, L. Qi, N. Xu. Learngene: From Open-World to Your Learning Task. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI'22), Vancouver, Canada, 2022, in press.

4. N. Xu, C. Qiao, X. Geng, M.-L. Zhang, Variational Label Enhancement for Feature-Dependent Partial Label Learning (NeurIPS'21), Virtual, 2021, 1-12.
5. J. Wang and X. Geng, Label Distribution Learning Machine, In: Proceedings of the International Conference on Machine Learning (ICML'21), Vienna, Austria, 2021, 10749-10759.
6. J. Wang and X. Geng, Learn the Highest Label and Rest Label Description Degrees, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'21), Montreal, Canada, 2021, 3097-3103.
7. Y. Gao, N. Xu, and X. Geng, Video Summarization via Label Distributions Dual-reward, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'21), Montreal, Canada, 2021, 2403-2409.

8. L. Feng, J. Lv, B. Han, M. Xu, G. Niu, X. Geng, B. An, and M. Sugiyama, Provably Consistent Partial-Label Learning, In: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS'20), Vancouver, Canada, 2020, 1-13.
9. 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, 10597-10606.
10. 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, 6500-6510.
11. 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, 13981-13990.
12. 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, 3223-3229.
13. 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, 2568-2574.
14. 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, 6510-6517.

15. 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.
16. J. Wang and X. Geng. Classification with Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, 2019, 3712-3718.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.

23. 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.
24. 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.
25. 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.
26. 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.
27. 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.

28. 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. 
29. 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. 
30. 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.
31. 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.

32. C. Xing, X. Geng and H. 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.
33. 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.
34. 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]
35. 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.

36. 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]
37. 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]
38. 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]

39. 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]
40. 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]
41. 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]
42. 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]
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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. 
50. 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. 

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

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.

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

• 2022-04-24: Two papers accepted by IJCAI'22.
• 2022-03-22: One paper accepted by TNNLS.
• 2021-12-01: One paper accepted by AAAI'22.
• 2021-09-29: One paper accepted by NeurIPS'21.
• 2021-06-22: One paper accepted by TKDE.
• 2021-05-11: One paper accepted by TPAMI.
• 2021-05-08: One paper accepted by ICML'21.
• 2021-04-29: Two papers accepted by IJCAI'21.
• 2021-03-31: One paper accepted by TPAMI.
• 2021-01-22: One paper accepted by TKDE.
• 2021-01-16: One paper accepted by PRJ.
• 2020-11-14: Another paper accepted by TPAMI.
• 2020-10-06: One paper accepted by TPAMI.
• 2020-09-26: One paper accepted by NeurIPS'20.
• 2020-09-21: One paper accepted by TCYB.
• 2020-06-01: Two papers accepted by ICML'20.
• 2020-04-20: Two papers accepted by IJCAI'20.
• 2020-02-24: One paper accepted by CVPR'20.
• 2020-01-01: Elected as IETI Distinguished Fellow.
• 2019-11-21: One paper accepted by AAAI'20.
• 2019-11-06: Two papers accepted by TKDE.
• 2019-08-29: Keynote Speech at KSEM'19.
• 2019-06-12: Congratulations to the joint team of PALM and ByteDance for winning a 1st Place Award and a 2nd Place Award in the CVPR'19 large-scale Look Into Person (LIP) challenges! 
• 2019-06-10: One paper accepted by TIP.
• 2019-05-09: Three papers accepted by IJCAI'19.
• 2019-02-25: One paper accepted by CVPR'19.
• 2018-10-31: Four papers accepted by AAAI'19.
• 2018-04-17: Four papers accepted by IJCAI'18.
• 2017-04-24: Two papers accepted by IJCAI'17.
• 2017-04-05: Another paper accepted by TIP.
• 2017-01-18: One paper accepted by TIP.
• 2016-11-12: Two papers accepted by AAAI'17.
• 2016-07-30: One paper accepted by EMNLP'16.
• 2016-04-05: One paper accepted by IJCAI'16.
• 2016-03-23: Congratulations to the PALM team "palm_seu" which won the runner-up in the CVPR'16 Chalearn Apparent Age Estimation Challenge! 
• 2016-03-18: One paper accepted by TKDE.
• 2016-03-04: One paper accepted by CVPR'16.