30 citations · 69 across the 9 of their papers we have counts for
9 papers
Open-world Semi-supervised Novel Class Discovery
Jiaming Liu, Yangqiming Wang, Tongze Zhang +3
Traditional semi-supervised learning tasks assume that both labeled and unlabeled data follow the same class distribution, but the realistic open-world scenarios are of more comple…
An Interpretable Neuron Embedding for Static Knowledge Distillation
Wei Han, Yangqiming Wang, Christian Böhm +1
Although deep neural networks have shown well-performance in various tasks, the poor interpretability of the models is always criticized. In the paper, we propose a new interpretab…
Large-scale Multi-view Subspace Clustering in Linear Time
Zhao Kang, Wangtao Zhou, Zhitong Zhao +3
A plethora of multi-view subspace clustering (MVSC) methods have been proposed over the past few years. Researchers manage to boost clustering accuracy from different points of vie…
Preference Modeling by Exploiting Latent Components of Ratings
Junhua Chen, Wei Zeng, Junming Shao +1
Understanding user preference is essential to the optimization of recommender systems. As a feedback of user's taste, rating scores can directly reflect the preference of a given u…
A Price Driven Hazard Approach to User Retention
Junhua Chen, Wei Zeng, Ge Fan +1
Customer loyalty is crucial for internet services since retaining users of a service to ensure the staying time of the service is of significance for increasing revenue. It demands…
Learning in High-Dimensional Multimedia Data: The State of the Art
Lianli Gao, Jingkuan Song, Xingyi Liu +3
During the last decade, the deluge of multimedia data has impacted a wide range of research areas, including multimedia retrieval, 3D tracking, database management, data mining, ma…