Correspondence

Mail: School of Computer Science and Engineering,
Jiulonghu Campus, Southeast University,
Nanjing 211189, China
Office: 516, Computer Science Building,
Jiulonghu Campus, Southeast University
Nanjing 211189, China
Email: xgeng AT seu.edu.cn

Research Interests | Selected Publication | Courses | Codes & Data

Research Interests

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.

For future students（2025级硕士/博士研究生报名）

Research Interest

Selected Publications

Journal Papers

    2024
  1. Xingyu Zhao, Yuexuan An, Ning Xu, and Xin Geng. Variational Continuous Label Distribution Learning for Multi-Label Text Classification. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 36(6): 2716-2729.
  2. Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, and Masashi Sugiyama. On the Robustness of Average Losses for Partial-Label Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024, 46(5): 2569-2583.
  3. Lei Qi, Hongpeng Yang, Yinghuan Shi, and Xin Geng. NormAUG: Normalization-guided Augmentation for Domain Generalization. IEEE Transactions on Image Processing (IEEE TIP), 2024, 33: 1419-1431.
  4. Yuexuan An, Hui Xue, Xingyu Zhao, Ning Xu, Pengfei Fang, and Xin Geng. Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024, in press.
  5. Yongbiao Gao, Ke Wang, and Xin Geng. Sequential Label Enhancement. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024, 35(5): 7204-7215.
  6. Jin Yuan, Feng Hou, Ying Yang, Yang Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Zhiqiang He, and Yong Rui. Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation. Transactions on Multimedia (TMM), 2024, 26: 7210-7224.
  7. Lei Qi, Hongpeng Yang, Yinghua Shi, and Xin Geng. MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2024, 20(6): 184:1-184:21.
  8. Lei Qi, Peng Dong, Tan Xiong, Hui Xue, and Xin Geng. DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2024, 20(5): 126:1-126:20.
  9. Lei Qi, Ziang Liu, Yinghuan Shi, and Xin Geng. Generalizable Metric Network for Cross-domain Person Reidentification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024, in press.
  10. Zhiqiang Kou, Jing Wang, Yuheng Jia, and Xin Geng. Inaccurate Label Distribution Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024, in press.
  11. Xiangyi Li, Jiajia Guo, Chao-Kai Wen, Xin Geng, and Shi Jin. Facilitating AI-based CSI Feedback Deployment in Massive MIMO Systems with Learngene. IEEE Transactions on Wireless Communications (TWC), 2024, in press.
  12. Hao Gu, Jian Gu, Keyu Peng, Ziran Zhu, Ning Xu, Xin Geng, and Jun Yang. LAMPlace: Legalization-Aided Reinforcement Learning Based Macro Placement for Mixed-Size Designs With Preplaced Blocks. IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), 2024, in press.
  13. Shunxin Guo, Hongsong Wang, and Xin Geng. Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes. Pattern Recognition (PRJ), 2024, in press.
  14. Yu Zhang, Zhengjie Chen, Tianyu Xu, Junjie Zhao, Siya Mi, Xin Geng, and Min-Ling Zhang. Temporal segment dropout for human action video recognition. Pattern Recognition (PRJ), 2024, 146: 109985.
  15. Jing Wang and Xin Geng. Explaining the Better Generalization of Label Distribution Learning for Classification. SCIENCE CHINA Information Sciences (SCIS), 2024, in press.
  16. Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, and Xin Geng. Auto-encoding score distribution regression for action quality assessment. Neural Computing and Applications, 2024, 36(2): 929-942.
  17. Adam A. Q. Mohammed, Xin Geng, Jing Wang, and Zafar Ali. Driver Distraction Detection Using Semi-Supervised Lightweight Vision Transformer. Engineering Applications of Artificial Intelligence, 2024, 129: 107618.

    18. 2023
  18. Ning Xu, Jun Shu, Renyi Zheng, Xin Geng, Deyu Meng, and Min-Ling Zhang. Variational Label Enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023, 45(5): 6537 - 6551.
  19. Ning Xu, Yong-Di Wu, Congyu Qiao, Yi Ren, Minxue Zhang, and Xin Geng. Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(11): 11656-11667.
  20. Ke Wang, Ning Xu, Miaogen Ling, and Xin Geng. Fast Label Enhancement for Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(2): 1502-1514.
  21. Hao Yang, You-Zhi Jin, Zi-Yin Li, Deng-Bao Wang, Xin Geng, and Min-Ling Zhang. Learning From Noisy Labels via Dynamic Loss Thresholding. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, in press.
  22. Jing Wang and Xin Geng. Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, in press.
  23. Ning Xu, Jiayu Li, Yun-Peng Liu, and Xin Geng. Trusted-Data-Guided Label Enhancement on Noisy Labels. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, 34(12): 9940-9951.
  24. Ning Xu, Yun-Peng Liu, Yan Zhang, Xin Geng. Progressive Enhancement of Label Distributions for Partial Multi-Label Learning. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, 34(8): 4856-4867.
  25. Jing Wang and Xin Geng. Label Distribution Learning by Exploiting Label Distribution Manifold. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, 34(2): 839-852.
  26. Jing Wang, Jianhui Lv, and Xin Geng. Label Distribution Learning by Partitioning Label Distribution Manifold. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, in press.
  27. Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, and Yong Rui. Graph Attention Transformer Network for Multi-Label Image Classification. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2023, 19(4): 150:1-150:16.
  28. Tiankai Hang, Huan Yang, Bei Liu, Jianlong Fu, Xin Geng, and Baining Guo. Language-Guided Face Animation by Recurrent StyleGAN-based Generator. Transactions on Multimedia (TMM), 2023, 25: 9216-9227.
  29. Lei Qi, Lei Wang, Yinghuan Shi, and Xin Geng. A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. Transactions on Multimedia (TMM), 2023, 25: 4856-4867.
  30. Yu Zhang, Junjie Zhao, Zhengjie Chen, Siya Mi, Hongyuan Zhu, and Xin Geng. A Closer Look at Video Sampling for Sequential Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, 33(12): 7503-7514.
  31. Miaogen Ling, Tianhang Pan, Yi Ren, Ke Wang, and Xin Geng. Motional Foreground Attention-Based Video Crowd Counting. Pattern Recognition (PRJ), 2023, 144: 109891.
  32. Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, and Xin Geng. Unsupervised Generalizable Multi-source Person Re-identification: A Domain-specific Adaptive Framework. Pattern Recognition (PRJ), 2023, 135: 109546.
  33. Zihan Chen, Hongyuan Zhu, Hao Cheng, Siya Mi, Yu Zhang, and Xin Geng. LPCL: Localized prominence contrastive learning for self-supervised dense visual pre-training. Pattern Recognition (PRJ), 2023, 135: 109185.
  34. Chao Tan, Sheng Chen, Xin Geng, and Genlin Ji. A Novel Label Enhancement Algorithm Based on Manifold Learning. Pattern Recognition (PRJ), 2023, 135: 109189.
  35. Xingyu Zhao, Yuexuan An, Ning Xu, and Xin Geng. Continuous Label Distribution Learning. Pattern Recognition (PRJ), 2023, 133: 109056.
  36. Jin Yuan, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui. Balanced Masking Strategy for Multi-Label Image Classification. Neurocomputing, 2023, 522: 64-72.

    37. 2022
  37. Xin Geng, Renyi Zheng, Jiaqi Lv, and Yu Zhang. Multilabel Ranking with Inconsistent Rankers. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022, 44(9): 5211-5224.
  38. 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.
  39. Jing Wang, Xin Geng and Hui Xue. Re-weighting Large Margin Label Distribution Learning for Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022, 44(9): 5445-5459.
  40. 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.
  41. Chao Tan, Sheng Chen, Genlin Ji, and Xin Geng. A Novel Probabilistic Label Enhancement Algorithm for Multi-label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 34(11): 5098-5113.
  42. Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, and Xin Geng. Label Distribution Learning for Generalizable Multi-source Person Re-identification. IEEE Transactions on Information Forensics & Security (TIFS), 2022, in press.
  43. Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, and Yang Gao. Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, 32(5): 2921-2936.
  44. C. Tan, G. Ji, X. Geng, and S. Chen. Multilabel Distribution Learning Based on Multioutput Regression and Manifold Learning. IEEE Transactions on Cybernetics (IEEE TCYB), 2022, 52(6): 5064-5078.
  45. Yi Ren, Ning Xu, Miaogen Ling, and Xin Geng. Label Distribution for Multimodal Machine Learning. Frontiers of Computer Science (FCS), 2022, 16: 161306.
  46. Minxue Zhang, Ning Xu, and Xin Geng. Feature-Induced Label Distribution for Learning with Noisy Labels. Pattern Recognition Letters (PRL), 2022, 155: 107-113.
  47. Jingyang Zhou, Guangzhao Wen, Yu Zhang, and Xin Geng. Multistage attention network for human pose estimation. J. Electron. Imaging, 2022, 31(6): 063001.

    48. Previous
  48. Ning Xu, Yun-Peng Liu, and Xin Geng. Label Enhancement for Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, 33(4): 1632-1643.
  49. Min-Ling Zhang, Qian-Wen Zhang, Jun-Peng Fang, Yu-Kun Li, and Xin Geng. Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, 33(5): 2057-2070.
  50. Jiaqi Lv, Tianran Wu, Chenglun Peng, Yunpeng Liu, Ning Xu, and Xin Geng. Compact Learning for Multi-Label Classification. Pattern Recognition (PRJ), 2021, 113: 107833 .
  51. Huiying Zhang, Yu Zhang, and Xin Geng. Practical Age Estimation Using Deep Label Distribution Learning. Frontiers of Computer Science (FCS), 2021, 15(3): 153318.
  52. Miaogen Ling and Xin Geng. Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning. IEEE Transactions on Image Processing (IEEE TIP), 2019, 28(11): 5691-5701.
  53. Huiying Zhang, Xin Geng, Yu Zhang, and Fanyong Cheng. Recurrent Age Estimation. Pattern Recognition Letters (PRL), 2019, 125: 271-277.
  54. Miaogen Ling and Xin Geng. Soft Video Parsing by Label Distribution Learning. Frontiers of Computer Science (FCS), 2019, 13(2): 302–317.
  55. 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.
  56. Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu, Xin Geng. Binary relevance for multi-label learning: an overview[J]. Frontiers of Computer Science (FCS), 2018, 12(2): 191-202.
  57. 耿新, 徐宁,邵瑞枫. 面向标记分布学习的标记增强. 计算机研究与发展. 2017, 54(6): 1171-1184. EI(20173804190920)
  58. Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, and Xin Geng. Deep Label Distribution Learning with Label Ambiguity. IEEE Transactions on Image Processing (IEEE TIP), 2017, 26(6): 2825 - 2838. EI(20171903647267)
  59. Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, and Yueting Zhuang. Data-Dependent Label Distribution Learning for Age Estimation, IEEE Transactions on Image Processing (IEEE TIP), 2017, 26(8): 3846 - 3858.
  60. Hao Zheng and Xin Geng. Facial Expression Recognition via Weighted Group Sparsity. Frontiers of Computer Science (FCS), 2017, 11(2): 266-275. SCI(000399006800008)EI(20171203473958)
  61. Xin Geng. Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016, 28(7): 1734-1748. EI(20162702559957)
  62. Hao Zheng and Xin Geng. A Multi-Task Model for Simultaneous Face Identification and Facial Expression Recognition. Neurocomputing, 2016, vol. 171: 515-523. SCI(000364883900054) EI(20153301179658)
  63. Zhaoxiang Zhang, Mo Wang, and Xin Geng. Crowd Counting in Public Video Surveillance by Label Distribution Learning. Neurocomputing, 2015, vol. 166: 151-163. SCI(000357751200016) EI(20151900835890)
  64. Xin Geng, Chao Yin, and Zhi-Hua Zhou. Facial Age Estimation by Learning from Label Distributions. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2013, 35(10): 2401-2412. SCI(000323175200007) EI(20133616697653)
  65. 方尔庆,耿新.基于视听信息的自动年龄估计方法.软件学报,2011,22(7):1503-1523 EI (20113114199487)
  66. Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, and Liang 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. SCI(000290734400023) EI(20112214010924)
  67. Xin Geng, Kate Smith-Miles, Liang Wang, Ming Li, and Qiang 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. SCI(000280006700040) EI（20102513019416）
  68. Liang Wang, Xin Geng, James Bezdek, Christopher Leckie, and Kotagiri Ramamohanarao. Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2010, 22(10): 1401-1414. SCI(000281000500005) EI(20103513198653)
  69. Liang Wang, Qiang Wu, Hanzi Wang, Xin Geng, and Ming Li. Image/Video-Based Pattern Analysis and HCI Applications. Pattern Recognition Letters (PRL), 2009, 30(12): 1047. (rank: 40/94) SCI(000268866700001) EI(20092912201496)
  70. Liang Wang, Qiang Wu, Ming Li, Jordi Gonzalez, and Xin Geng. Video Analysis and Understanding for Surveillance Applications. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 2009, 23(7): 1221-1222. SCI(000271863500001) EI(20094812519078)
  71. Xin Geng, Zhi-Hua Zhou, and Kate 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. (rank: 4/94, 3/84, 10/229, 2/45) SCI(000258505700004) EI(20083411475708)
  72. Xin Geng, Zhi-Hua Zhou, and Kate 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. (“Featured Article” of the December issue) (rank: 1/94) SCI(000251580300015) EI(20074710938938)
  73. Xin Geng, De-Chuan Zhan, and Zhi-Hua 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. (rank: 8/53, 2/17, 21/94) SCI(000233441800002) EI(2005519608280)
  74. Zhi-Hua Zhou and Xin Geng. Projection Functions for Eye Detection. Pattern Recognition (PRJ), 2004, 37(5): 1049-1056. (rank: 10/94, 17/229) SCI(000220677200015) EI(2004188136937)
  75. Xin Geng and Zhi-Hua Zhou. Image Region Selection and Ensemble for Face Recognition. Journal of Computer Science & Technology (JCST), 2006, 21(1): 116-125. SCI(000235342400013) EI(2006079699543)
  76. Xin Geng, Zhi-Hua Zhou, and Shi-Fu Chen. Eye Location Based on Hybrid Projection Function (in Chinese). Journal of Software, 2003, 14(8): 1394-1400. EI(7738079)
  77. Xin Geng, Zhao-Qian Chen, and Zhi-Hua Zhou. Survey on Spatial Data Mining (in Chinese). Computer Science, 2002, 29: 341-345.

Conference Papers

    2024
  1. Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng. Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning. In: Proceedings of the International Conference on Machine Learning (ICML'24), Vienna, Austria, 2024, in press.
  2. Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng. Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning. In: Proceedings of the International Conference on Machine Learning (ICML'24), Vienna, Austria, 2024, in press.
  3. Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng. Vision Transformers as Probabilistic Expansion from Learngene. In: Proceedings of the International Conference on Machine Learning (ICML'24), Vienna, Austria, 2024, in press.
  4. Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu. Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency. In: Proceedings of the International Conference on Machine Learning (ICML'24), Vienna, Austria, 2024, in press.
  5. Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng. ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision. In: Proceedings of the International Conference on Machine Learning (ICML'24), Vienna, Austria, 2024, in press.
  6. Shi-Yu Xia, Wenxuan Zhu, Xu Yang, Xin Geng. Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, South Korea, 2024, in press.
  7. Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng. Exploiting Multi-Label Correlation in Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, South Korea, 2024, in press.
  8. Boyu Shi, Shi-Yu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng. Building Variable-sized Models via Learngene Pool. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024, 14946-14954.
  9. Shi-Yu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng. Transformer as Linear Expansion of Learngene. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024, 16014-16022.
  10. Yu Zhang, Jingwei Sun, Li Feng, Cen Yao, Mingming Fan, Liuxin Zhang, Qianying Wang, Xin Geng, Yong Rui. See Widely, Think Wisely: Toward Designing Generative Multi-agents to Burst Filter Bubbles. The ACM CHI conference on Human Factors in Computing Systems (CHI'24), Honolulu, HI, 2024, 484:1-484:24.
  11. Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo. Adaptive Fusion of Gait and Face for Human Identification in Video. In: Proceedings of IEEE 2023 Workshop on Application of Computer Vision (WACV'24), Waikoloa, HI, 2024, in press.

    12. 2023
  12. Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui. Learning From Biased Soft Labels. In: Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23), 2023.
  13. Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng. Exploring Diverse In-Context Configurations for Image Captioning. In: Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23), 2023.
  14. Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng. Progressive Purification for Instance-Dependent Partial Label Learning. In: Proceedings of the International Conference on Machine Learning (ICML'23), Honolulu, Hawaii, 2023, 38551-38565.
  15. Congyu Qiao, Ning Xu, Jiaqi Lv, yi Ren, Xin Geng. FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. In: Proceedings of the International Conference on Machine Learning (ICML'23), Honolulu, Hawaii, 2023, 28321-28336.
  16. Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng. Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. In: Proceedings of the International Conference on Machine Learning (ICML'23), Honolulu, Hawaii, 2023, 22249-22265.
  17. Yu Shi, Ning Xu, Hua Yuan, Xin Geng. Unreliable Partial Label Learning with Recursive Separation. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, China, 2023, 4208-4216.
  18. Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng. Towards Effective Visual Representations for Partial-Label Learning. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’23), Vancouver, Canada, 2023, 15589-15598.
  19. Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo. Efficient Diffusion Training via Min-SNR Weighting Strategy. In: Proceedings of the International Conference on Computer Vision (ICCV'23), Paris, France, 2023, 7407-7417.
  20. Congyu Qiao, Ning Xu, Xin Geng. Decompositional Generation Process for Instance-Dependent Partial Label Learning. In: Proceedings of the 11th International Conference on Learning Representations (ICLR'23), Kigali, Rwanda, 2023.
  21. Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng. Imbalanced Label Distribution Learning. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23), Washington, DC, 2023, 11336-11344.

    22. 2022
  22. Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang. One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. In: Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS'22), 2022.
  23. Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui. Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM'22), Lisbon, Portugal, 2022, 3907-3916.
  24. Ziyang Gao, Yaping Yan, Xin Geng. Learning from Noisy Labels via Meta Credible Label Elicitation. In: Proceedings of the IEEE International Conference on Image Processing (ICIP'22), Bordeaux, France, 2022, 1391-1395.
  25. Shi-Yu Xia, Jiaqi Lv, Ning Xu, Xin 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, 3615-3621.
  26. Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Fusion Label Enhancement for Multi-Label Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'22), Vienna, Austria, 2022, 3773-3779.
  27. Qiu-Feng Wang, Xin Geng, Shu-Xia Lin, Shi-Yu Xia, Lei Qi, Ning Xu. Learngene: From Open-World to Your Learning Task. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI'22), Vancouver, Canada, 2022, 8557-8565.

    28. Previous
  28. Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang. Instance-Dependent Partial Label Learning. In: Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS'21), Sydney, Australia, 2021, 1-12.
  29. Jing Wang and Xin Geng. Label Distribution Learning Machine. In: Proceedings of the International Conference on Machine Learning (ICML'21), Vienna, Austria, 2021, PMLR 139: 10749-10759.
  30. Jing Wang and Xin 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.
  31. Yongbiao Gao, Ning Xu, Xin 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.
  32. Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama. Provably Consistent Partial-Label Learning. In: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS'20), Vancouver, Canada, 2020, 1-13.
  33. Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng. Variational Label Enhancement. In: Proceedings of the International Conference on Machine Learning (ICML'20), Vienna, Austria, 2020, PMLR 119: 10597-10606.
  34. Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama. Progressive Identification of True Labels for Partial-Label Learning. In: Proceedings of the International Conference on Machine Learning (ICML'20), Vienna, Austria, 2020, PMLR 119:6500-6510.
  35. Yongbiao Gao, Yu Zhang, Xin 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.
  36. Yunpeng Liu, Ning Xu, Yu Zhang, Xin 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.
  37. ShiKai Chen, Jianfeng Wang, Yuedong Chen, Zhongchao Shi, Xin Geng, Yong 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.
  38. Ning Xu, Yun-Peng Liu, Xin 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.
  39. Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu 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.
  40. Jing Wang, Xin Geng. Classification with Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, 2019, 3712-3718.
  41. Ke Wang, Xin 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.
  42. Jiaqi Lv, Ning Xu, Ren-Yi Zheng, Xin 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.
  43. Changdong Xu and Xin Geng. Hierarchical Classification based on Label Distribution Learning. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 5533-5540.
  44. Kai Su and Xin 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.
  45. JingWang and Xin Geng. Theoretical Analysis of Label Distribution Learning. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 5256-5263.
  46. Ning Xu, Jiaqi Lv, Xin Geng. Partial Label Learning via Label Enhancement. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 5557-5564.
  47. Ning Xu, An Tao, Xin Geng. Label Enhancement for Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, 2926-2932.
  48. Ke Wang and Xin Geng. Binary Coding based Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, 2783-2789.
  49. Cheng-Lun Peng, An Tao, Xin 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.
  50. Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, 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.
  51. Ruifeng Shao, Ning Xu, Xin Geng. Multi-label Learning with Label Enhancement. In: Proceedings of the 18th IEEE International Conference on Data Mining (ICDM'18), Singapore, 2018, 437-446.
  52. Zengwei Huo and Xin Geng. Ordinal Zero-Shot Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, 1916-1922. EI(20174304308808)
  53. Yi Ren and Xin Geng. Sense Beauty by Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, 2648-2654. EI(20174304308761)
  54. Xin Geng and Miaogen Ling. Soft Video Parsing by Label Distribution Learning. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’17), San Francisco, CA, 2017, 1331-1337. EI(20174104243011)
  55. Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi 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. EI(20174104242999)
  56. Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin 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.
  57. Xu Yang, Xin Geng, De-Yu 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. EI(20165103146988)
  58. Chao Xing, Xin Geng, 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. EI(20170403274722)
  59. Peng Hou, Xin Geng, Min-Ling Zhang. Multi-Label Manifold Learning. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’16), Phoenix, AZ, 2016, 1680-1686. EI(20165203195707)
  60. Hao Zheng, Xin Geng, Zhongxue Yang. A Relaxed K-SVD Algorithm for Spontaneous Micro-Expression Recognition. In: Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI'16), Phuket, Thailand, 2016, pp. 692-699. EI(20163602776534)
  61. Huo Zengwei, Yang Xu, Xing Chao, Zhou Ying, Hou Peng, Lv Jiaqi, Geng Xin. Deep Age Distribution Learning for Apparent Age Estimation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW’16), Las Vegas, NV, 2016, 722-729.
  62. Yu-Kun Li, Min-Ling Zhang, Xin 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. EI(20161602272585)
  63. Ying Zhou, Hui Xue, Xin 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. EI(20161602252578)
  64. Xin Geng and Peng 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. EI(20155101693823)
  65. Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng. Deep Label Distribution Learning for Apparent Age Estimation. In: Proceedings of the International Conference on Computer Vision Workshops (ICCVW’15), Santiago de Chile, 2015, 344-350. EI(20161402196430)
  66. Xin Geng and Yu 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. EI(201448247522)
  67. Xin Geng and Longrun 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. EI(201448247612)
  68. Xin Geng, Qin Wang, Yu 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. EI(20150100390700)
  69. Xin Geng and Rongzi Ji. Label Distribution Learning. In Proceedings of the 2013 International Conference on Data Mining Workshops (ICDMW’13), Dallas, TA, 2013, pp. 377-383. EI(20141617588760)
  70. Yu Xia, Yongzhen Huang, Liang Wang, Xin Geng. Pedestrian Detection Based on Incremental Learning. In: Proceedings of the 2013 International Conference on Intelligence Science and Big Data Engineering (IScIDE’13), Beijing, China, 2013, pp. 603-610. EI(20140517246445)
  71. Chao Yin, Xin Geng. Facial Age Estimation by Conditional Probability Neural Network. In: Proceedings of the Chinese Conference on Pattern Recognition (CCPR’12), Beijing, China, 2012, pp. 243-250. EI(20124115549388) ISTP(000312434700031)
  72. Xin Geng, Kate Smith-Miles, Zhi-Hua 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.(A) EI(20104413339490)
  73. Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang 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.(A) EI(20095312583466)
  74. Xin Geng and Kate 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. ISTP(000268919200217) EI(20093912338417)
  75. Liang Wang, Xin Geng, James Bezdek, Christopher Leckie, Ramamohanarao 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. (A) ISTP(000264173600065) EI(10478558)
  76. Xin Geng, Kate Smith-Miles, Zhi-Hua 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. (A) EI(20094612442141)
  77. Liang Wang, Xin Geng, Christopher Leckie, Ramamohanarao 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. (A) ISTP(000259736801043) EI(20083911592027)
  78. Xin Geng, Liang Wang, Ming Li, Qiang Wu, Kate 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. (A) ISTP(000258906400015) EI(20083711527134)
  79. Xin Geng, Liang Wang, Ming Li, Qiang Wu, Kate Smith-Miles. Distance-Driven Fusion of Gait and Face for Human identification in video. In: Proceedings of Image and Vision Computing New Zealand Conference (IVCNZ'07), Hamilton, New Zealand, 2007, pp. 19-24. (B)
  80. Xin Geng and Ming Li. Individual Discriminative Subspace for Face Recognition Under Uncontrolled Conditions. In: Proceedings of Image and Vision Computing New Zealand Conference (IVCNZ'07), Hamilton, New Zealand, 2007, pp. 13-18. (B)
  81. Qiang Wu, Liang Wang, Xin Geng, Ming Li, Xin He. Dynamic Biometrics Fusion at Feature Level for Video-Based Human Recognition. In: Proceedings of Image and Vision Computing New Zealand Conference (IVCNZ'07), Hamilton, New Zealand, 2007, pp. 152-157. (B)
  82. Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai. Learning from Facial 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. (A) EI(20073110714730)
  83. Xin Geng, Zhi-Hua Zhou, Honghua 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. (B) ISTP(000240091500059) EI(20064210172124)
  84. Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai. Abnormal Behavior Detection for Early Warning of Terrorist Attack. In: Proceedings of the 19th Australian Joint Conference on Artificial Intelligence (AI 2006), Hobart, Tasmania, LNAI 4304, 2006, pp. 1002-1009. ISTP(000244891200112) EI(9307480)
  85. Xin Geng and Zhi-Hua Zhou. Face Recognition Based on Selective Ensemble of Multiple Eigenspaces (in Chinese). In: Proceedings of the International Symposium on Computer Vision, Object Tracking and Recognition, Beijing, China, August, 2004.
  86. Xin Geng, Xiang-Ping Zhong, Xin-Min Zhou, Pei Sun, Zhi-Hua Zhou. Refining Eye Location Using VPF for Face Detection (in Chinese). In: Proceedings of the 3rd Conference of Sinobiometrics of China (Sinobiometrics'03), Xi'an, China, 2002, pp. 25-28.

Courses

1. Fundamentals of Data Structure (for undergraduate students)

2. Pattern Recognition (for undergraduate students)

3. Pattern Recognition (for graduate students)

Codes & Data