55 citations · 62 across the 5 of their papers we have counts for
5 papers
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
Jiawei Chen, Chengquan Jiang, Can Wang +5
Sampling strategies have been widely applied in many recommendation systems to accelerate model learning from implicit feedback data. A typical strategy is to draw negative instanc…
Online Knowledge Distillation with Diverse Peers
Defang Chen, Jian-Ping Mei, Can Wang +2
Distillation is an effective knowledge-transfer technique that uses predicted distributions of a powerful teacher model as soft targets to train a less-parameterized student model.…
Relational Multi-Manifold Co-Clustering
Ping Li, Jiajun Bu, Chun Chen +2
Co-clustering targets on grouping the samples (e.g., documents, users) and the features (e.g., words, ratings) simultaneously. It employs the dual relation and the bilateral inform…
Scalable Image Retrieval by Sparse Product Quantization
Qingqun Ning, Jianke Zhu, Zhiyuan Zhong +2
Fast Approximate Nearest Neighbor (ANN) search technique for high-dimensional feature indexing and retrieval is the crux of large-scale image retrieval. A recent promising techniqu…
Spectral Graph Cut from a Filtering Point of View
Chengxi Ye, Yuxu Lin, Mingli Song +2
Spectral graph theory is well known and widely used in computer vision. In this paper, we analyze image segmentation algorithms that are based on spectral graph theory, e.g., norma…