62 citations · 230 across the 18 of their papers we have counts for
18 papers
Time Series Domain Adaptation via Sparse Associative Structure Alignment
Ruichu Cai, Jiawei Chen, Zijian Li +6
Domain adaptation on time series data is an important but challenging task. Most of the existing works in this area are based on the learning of the domain-invariant representation…
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems
Zijian Li, Ruichu Cai, Kok Soon Chai +7
Data-driven models are becoming essential parts in modern mechanical systems, commonly used to capture the behavior of various equipment and varying environmental characteristics.…
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…
Data Driven Chiller Plant Energy Optimization with Domain Knowledge
Hoang Dung Vu, Kok Soon Chai, Bryan Keating +5
Refrigeration and chiller optimization is an important and well studied topic in mechanical engineering, mostly taking advantage of physical models, designed on top of over-simplif…
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing
Li Wang, Tom Z. J. Fu, Richard T. B. Ma +2
Elasticity is highly desirable for stream processing systems to guarantee low latency against workload dynamics, such as surges in data arrival rate and fluctuations in data distri…
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…