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.
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.
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.
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.
My research interests include machine learning, pattern recognition, and computer vision.
Most of my recent focus is onLabel 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.