Papers
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation
Yuguang Yan, Wen Li, Michael Ng et al.
Predicting Human Interaction via Relative Attention Model
Yichao Yan, Bingbing Ni, Xiaokang Yang
Semi-Supervised Deep Hashing with a Bipartite Graph
Xinyu Yan, Lijun Zhang, Wu-Jun Li
FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services
Toshihiko Yamasaki, Jiani Hu, Shumpei Sano et al.
When Does Label Propagation Fail? A View from a Network Generative Model
Yuto Yamaguchi, Kohei Hayashi
Tensor Decomposition with Missing Indices
Yuto Yamaguchi, Kohei Hayashi
Multiple Indefinite Kernel Learning for Feature Selection
Hui Xue, Yu Song, Hai-Ming Xu
Deep Matrix Factorization Models for Recommender Systems
Hong-Jian Xue, Xinyu Dai, Jianbing Zhang et al.
Tag-Aware Personalized Recommendation Using a Hybrid Deep Model
Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen et al.
Stochastic Online Anomaly Analysis for Streaming Time Series
Zhao Xu, Kristian Kersting, Lorenzo von Ritter
Multi-Positive and Unlabeled Learning
Yixing Xu, Chang Xu, Chao Xu et al.
Incomplete Label Distribution Learning
Miao Xu, Zhi-Hua Zhou
Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines
Jinglin Xu, Feiping Nie, Junwei Han
Multi-view Feature Learning with Discriminative Regularization
Jinglin Xu, Junwei Han, Feiping Nie
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins
Jie Xu, Xianglong Liu, Zhouyuan Huo et al.
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction
Kai Xiong, Feiping Nie, Junwei Han
Image-embodied Knowledge Representation Learning
Ruobing Xie, Zhiyuan Liu, Huanbo Luan et al.
Dynamic Multi-View Hashing for Online Image Retrieval
Liang Xie, Jialie Shen, Jungong Han et al.
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization
Yichi Xiao, Zhe Li, Tianbao Yang et al.
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He et al.
Dual Inference for Machine Learning
Yingce Xia, Jiang Bian, Tao Qin et al.
Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs
Nannan Wu, Feng Chen, Jianxin Li et al.
Sequence Prediction with Unlabeled Data by Reward Function Learning
Lijun Wu, Li Zhao, Tao Qin et al.
Deep Context: A Neural Language Model for Large-scale Networked Documents
Hao Wu, Kristina Lerman
Modeling Trajectories with Recurrent Neural Networks
Hao Wu, Ziyang Chen, Weiwei Sun et al.