Hai Liu

TL;DR: A deep learning based collaborative filtering framework, namely, deep matrix factorization (DMF), which can integrate any kind of side information effectively and handily, and implicit feedback embedding (IFE) is proposed, which converts the high-dimensional and sparse implicit feedback information into a low-dimensional real-valued vector retaining primary features.

TL;DR: A content-based recommendation algorithm based on convolutional neural network (CNN) which can be used to predict the latent factors from the text information of the multimedia resources and which is regularized by L1-norm.

TL;DR: Wang et al. as discussed by the authors proposed a heterogeneous GNNs framework based on attention mechanism, where the neighbor features of an entity are first aggregated under each relation-path, and then the importance of different relationpaths is learned through the relation features.

TL;DR: A robust three-branch model with triplet module and matrix Fisher distribution module is proposed to address head pose estimation problems and achieves state-of-the-art performance in comparison with traditional methods.

TL;DR: A resolution-enhancement algorithm with total variation (TV) constraints for the degraded Fourier transform IR (FTIR) spectrum due to overlap and noise degradation in the robot vision sensing that can split the overlap band effectively while the spectral structure details are retained satisfactorily.