110 citations · 111 across the 7 of their papers we have counts for
4 papers · 1 filter
Nearly Optimal Bayesian Inference for Structural Missingness
Chen Liang, Donghua Yang, Yutong Zhao +9
Structural missingness breaks 'just impute and train': values can be undefined by causal or logical constraints, and the mask may depend on observed variables, unobserved variables…
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Chen Liang, Donghua Yang, Zhiyu Liang +4
In recent times, the field of unsupervised representation learning (URL) for time series data has garnered significant interest due to its remarkable adaptability across diverse do…
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
Huaiyuan Liu, Xianzhang Liu, Donghua Yang +4
Multivariate time series classification (MTSC) is an important data mining task, which can be effectively solved by popular deep learning technology. Unfortunately, the existing de…
LSTM-based Flow Prediction
Hongzhi Wang, Yang Song, Shihan Tang
In this paper, a method of prediction on continuous time series variables from the production or flow -- an LSTM algorithm based on multivariate tuning -- is proposed. The algorith…