Yixuan Lin

According to our database, Yixuan Lin authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Finite-time error bounds for distributed linear stochastic approximation.

Yixuan Lin, Vijay Gupta, Ji Liu

Autom., January, 2024

2023

Reaching a consensus with limited information.

Jingxuan Zhu, Yixuan Lin, Ji Liu, A. Stephen Morse

Syst. Control. Lett., June, 2023

A multiorder feature tracking and explanation strategy for explainable deep learning.

Lin Zheng, Yixuan Lin

J. Intell. Syst., 2023

RhySpeech: A Deployable Rhythmic Text-to-Speech Based on Feed-Forward Transformer for Reading Disabilities.

Yixuan Lin

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

Resilient Distributed Optimization^*.

Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu

Proceedings of the American Control Conference, 2023

2022

Differentially Private Federated Temporal Difference Learning.

Yiming Zeng, Yixuan Lin, Yuanyuan Yang, Ji Liu

IEEE Trans. Parallel Distributed Syst., 2022

Resilient Distributed Optimization.

Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu

CoRR, 2022

Cooperative Actor-Critic via TD Error Aggregation.

Martin Figura, Yixuan Lin, Ji Liu, Vijay Gupta

CoRR, 2022

GCN-GENE: A novel method for prediction of coronary heart disease-related genes.

Tong Zhang, Yixuan Lin, Weimin He, FengXin Yuan, Yu Zeng, Shihua Zhang

Comput. Biol. Medicine, 2022

Subgradient-Push Is of the Optimal Convergence Rate.

Yixuan Lin, Ji Liu

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Resilient Constrained Consensus over Complete Graphs via Feasibility Redundancy.

Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu

Proceedings of the American Control Conference, 2022

RPSigmoid: A Randomized Parameterization for a Sigmoidal Activation Function.

Yixuan Lin

Proceedings of the 4th International Conference on Advanced Information Science and System, 2022

2021

Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation.

Martin Figura, Yixuan Lin, Ji Liu, Vijay Gupta

CoRR, 2021

On a Discrete-Time Network SIS Model with Opinion Dynamics.

Yixuan Lin, Weihao Xuan, Ruijie Ren, Ji Liu

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Toward Resilient Multi-Agent Actor-Critic Algorithms for Distributed Reinforcement Learning.

Yixuan Lin, Shripad Gade, Romeil Sandhu, Ji Liu

Proceedings of the 2020 American Control Conference, 2020

2019

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning.

Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu

Proceedings of the 58th IEEE Conference on Decision and Control, 2019