124 citations · 152 across the 5 of their papers we have counts for
5 papers
Learning Disentangled Semantic Representation for Domain Adaptation
Ruichu Cai, Zijian Li, Pengfei Wei +3
Domain adaptation is an important but challenging task. Most of the existing domain adaptation methods struggle to extract the domain-invariant representation on the feature space…
Causal Discovery with Cascade Nonlinear Additive Noise Models
Ruichu Cai, Jie Qiao, Kun Zhang +2
Identification of causal direction between a causal-effect pair from observed data has recently attracted much attention. Various methods based on functional causal models have bee…
An Encoder-Decoder Framework Translating Natural Language to Database Queries
Ruichu Cai, Boyan Xu, Xiaoyan Yang +3
Machine translation is going through a radical revolution, driven by the explosive development of deep learning techniques using Convolutional Neural Network (CNN) and Recurrent Ne…
SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee
Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
Causation discovery without manipulation is considered a crucial problem to a variety of applications. The state-of-the-art solutions are applicable only when large numbers of samp…
Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing
Meihua Wang, Jiaming Mai, Yun Liang +3
Traditional dehazing techniques, as a well studied topic in image processing, are now widely used to eliminate the haze effects from individual images. However, even the state-of-t…