research
∙
05/26/2022
Constrained Reinforcement Learning for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
share
research
∙
10/09/2020
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution
Graph neural networks have become an important tool for modeling structu...
research
∙
09/06/2020
Learning from Very Few Samples: A Survey
Few sample learning (FSL) is significant and challenging in the field of...
research
∙
02/23/2018
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Taxi demand prediction is an important building block to enabling intell...
research
∙
03/18/2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Non-convex sparsity-inducing penalties have recently received considerab...
research
∙
11/19/2012
Efficient Superimposition Recovering Algorithm
In this article, we address the issue of recovering latent transparent l...
research
∙
10/22/2012
