Ling Dai — accepted AI-conference papers

2023

Fast Bellman Updates for Wasserstein Distributionally Robust MDPs

Zhuodong Yu, Ling Dai, Shaohang Xu, Siyang Gao, Chin Pang Ho

NeurIPS 2023poster

Markov decision processes (MDPs) often suffer from the sensitivity issue under model ambiguity. In recent years, robust MDPs have emerged as an effective framework to overcome this challenge. Distributionally robust MDPs extend the robust MDP framework by incorporating distributional information of…

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2022

CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps

Jiajia Li, Ling Dai, Feng Tan, Hui Shen, Zikai Wang, Bin Sheng +1

ICASSP 2022accepted

In the application of Artificial Intelligence for IT Operations (AIOps), monitoring data are usually modeled as MTS (Multivariate Time Series). The prediction of MTS has been widely studied and various models, including statistic algorithms and deep learning networks, have been proposed, which attem…

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