213 citations · 255 across the 13 of their papers we have counts for
4 papers · 1 filter
Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition
Bianjiang Yang, Zi Hui, Haoji Hu +2
Although the facial makeup transfer network has achieved high-quality performance in generating perceptually pleasing makeup images, its capability is still restricted by the massi…
Modeling Personalized Item Frequency Information for Next-basket Recommendation
Haoji Hu, Xiangnan He, Jinyang Gao +1
Next-basket recommendation (NBR) is prevalent in e-commerce and retail industry. In this scenario, a user purchases a set of items (a basket) at a time. NBR performs sequential mod…
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
Huan Wang, Yijun Li, Yuehai Wang +2
Universal style transfer methods typically leverage rich representations from deep Convolutional Neural Network (CNN) models (e.g., VGG-19) pre-trained on large collections of imag…
Physics-Guided Deep Neural Networks for Power Flow Analysis
Xinyue Hu, Haoji Hu, Saurabh Verma +1
Solving power flow (PF) equations is the basis of power flow analysis, which is important in determining the best operation of existing systems, performing security analysis, etc.…