Research Interests:
- Computer Vision
- Pattern Recognition
- Machine Learning
- Semantic Data Understanding
Selected Conference Paper:
![](https://sites.temple.edu/lixin/files/2020/08/iccv15.png)
Semi-Supervised Zero-Shot Classification with Label Representation Learning
Xin Li, Yuhong Guo, Dale Schuurmans
International Conference on Computer Vision (ICCV), Santiago, Chile, 2015
(AR=30.9%) [pdf|supplement]
![](https://sites.temple.edu/lixin/files/2020/08/ijcai15.png)
Multi-label Classification with Feature-aware Non-linear Label Space Transformation
Xin Li, Yuhong Guo
Interational Joint Conference on Artificial Intelligence (IJCAI), Buenos aires, Argentina, 2015
(AR=28.8%) [pdf]
![](https://sites.temple.edu/lixin/files/2020/08/aistats15b.png)
Max-Margin Zero-Shot Learning for Multi-class Classification
Xin Li, Yuhong Guo
AI & Statistics (AISTATS), San Diego, CA, USA 2015
(AR=26.7%) [pdf]
![](https://sites.temple.edu/lixin/files/2020/08/aistats15a.png)
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels
Xin Li, Feipeng Zhao, Yuhong Guo
AI & Statistics (AISTATS), San Diego, CA, USA 2015
(AR=26.7%) [pdf]
![](https://sites.temple.edu/lixin/files/2020/08/eccv14.png)
Multi-level Adaptive Active Learning for Scene Classification
Xin Li, Yuhong Guo
European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014
(AR=26.7%) [pdf]
![](https://sites.temple.edu/lixin/files/2020/08/ecml14.png)
Bi-Directional Representation Learning for Multi-label Classification
Xin Li, Yuhong Guo
European Conference on Machine Learning (ECML), Nancy, France 2014
(AR=23.9%) [pdf]
![](https://sites.temple.edu/lixin/files/2020/08/uai14.jpg)
Multi-label Image Classification with A Probabilistic Label Enhancement Model
Xin Li, Feipeng Zhao, Yuhong Guo
Uncertainty in Artificial Intelligence (UAI), Quebec City, Canada 2014
(AR=32%) [pdf]
![](https://sites.temple.edu/lixin/files/2020/08/icml14.png)
Latent Semantic Representation Learning for Scene Classification
Xin Li, Yuhong Guo
International Conference on Machine Learning (ICML), Beijing, China 2014
(AR=25%) [pdf]
![](https://sites.temple.edu/lixin/files/2020/08/ijcai13.png)
![](https://sites.temple.edu/lixin/files/2020/08/cvpr13.png)
![](https://sites.temple.edu/lixin/files/2020/08/bmvc12.png)
Book and Dissertation
Key Part Detection Using Boundary-Regional Codebook
Xin Li, published by ProQuest, November, 2011
Multi-label Learning Under Different Labeling Scenarios
Xin Li, published by ProQuest, December, 2015