activity
20192021
most citedTry This Instead: Personalized and Interpretable Substitute Recommendation

9 citations · 40 across the 11 of their papers we have counts for

collaborators

14 papers

cs.CV2020

Recurrent Relational Memory Network for Unsupervised Image Captioning

Dan Guo, Yang Wang, Peipei Song +1

Unsupervised image captioning with no annotations is an emerging challenge in computer vision, where the existing arts usually adopt GAN (Generative Adversarial Networks) models. I…

cs.LG20203 cited

Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning

Ximing Li, Yang Wang

Partial Multi-label Learning (PML) aims to induce the multi-label predictor from datasets with noisy supervision, where each training instance is associated with several candidate…

cs.CV20203 cited

Unsupervised Vehicle Re-identification with Progressive Adaptation

Jinjia Peng, Yang Wang, Huibing Wang +3

Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal…

cs.IR20209 cited

Try This Instead: Personalized and Interpretable Substitute Recommendation

Tong Chen, Hongzhi Yin, Guanhua Ye +3

As a fundamental yet significant process in personalized recommendation, candidate generation and suggestion effectively help users spot the most suitable items for them. Consequen…

cs.LG20207 cited

SimpleMKKM: Simple Multiple Kernel K-means

Xinwang Liu, En Zhu, Jiyuan Liu +3

We propose a simple yet effective multiple kernel clustering algorithm, termed simple multiple kernel k-means (SimpleMKKM). It extends the widely used supervised kernel alignment c…

cs.CV20202 cited

Convolutional Dictionary Pair Learning Network for Image Representation Learning

Zhao Zhang, Yulin Sun, Yang Wang +3

Both the Dictionary Learning (DL) and Convolutional Neural Networks (CNN) are powerful image representation learning systems based on different mechanisms and principles, however w…