Double Deep Q-Learning in Opponent Modeling. - Yangtianze Tao; John Doe (CoRR, 2022)

Optimal Transportation Particle Filter for Linear Filtering Systems With Correlated Noises. - Jiayi Kang; Xiuqiong Chen; Yangtianze Tao; Stephen Shing-Toung Yau (IEEE Trans. Aerosp. Electron. Syst., 2022)

Maximum Correntropy Ensemble Kalman Filter. - Yangtianze Tao; Jiayi Kang; Stephen Shing-Toung Yau (CDC, 2023)

Outlier-Robust Iterative Extended Kalman Filtering. - Yangtianze Tao; Stephen Shing-Toung Yau (IEEE Signal Process. Lett., 2023)

Recurrent Neural Networks Are Universal Approximators With Stochastic Inputs. - Xiuqiong Chen; Yangtianze Tao; Wenjie Xu; Stephen Shing-Toung Yau (IEEE Trans. Neural Networks Learn. Syst., 2023)

CAPE: a deep learning framework with Chaos-Attention net for Promoter Evolution. - Ruohan Ren; Hongyu Yu; Jiahao Teng; Sihui Mao; Zixuan Bian; Yangtianze Tao; Stephen S.-T. Yau (Briefings Bioinform., 2024)

Neural Projection Filter: Learning Unknown Dynamics Driven by Noisy Observations. - Yangtianze Tao; Jiayi Kang; Stephen Shing-Toung Yau (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Uniform Framework of Yau-Yau Algorithm Based on Deep Learning With the Capability of Overcoming the Curse of Dimensionality. - Xiuqiong Chen; Zeju Sun; Yangtianze Tao; Stephen S.-T. Yau (IEEE Trans. Autom. Control., 2025)

The Stochastic Stability Analysis for Outlier Robustness of Kalman-Type Filtering Framework Based on Correntropy-Induced Cost. - Yangtianze Tao; Jiayi Kang; Stephen Shing-Toung Yau (IEEE Trans. Autom. Control., 2025)