Yangtianze Tao

According to our database, Yangtianze Tao authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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., January, 2025

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., July, 2024

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

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., October, 2023

Outlier-Robust Iterative Extended Kalman Filtering.

Yangtianze Tao, Stephen Shing-Toung Yau

IEEE Signal Process. Lett., 2023

Maximum Correntropy Ensemble Kalman Filter.

Yangtianze Tao, Jiayi Kang, Stephen Shing-Toung Yau

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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

Double Deep Q-Learning in Opponent Modeling.

Yangtianze Tao, John Doe

CoRR, 2022