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ORCIDYixuan Lin
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2020 – today
- 2024
[j5]Yixuan Lin, Vijay Gupta, Ji Liu:
Finite-time error bounds for distributed linear stochastic approximation. Autom. 159: 111368 (2024)- [c10]Yixuan Lin, Marco Gamarra, Ji Liu:
Heterogeneous Distributed Subgradient. ACC 2024: 2809-2815 - 2023
- [j4]Lin Zheng, Yixuan Lin:
A multiorder feature tracking and explanation strategy for explainable deep learning. J. Intell. Syst. 32(1) (2023) - [j3]Jingxuan Zhu, Yixuan Lin, Ji Liu
, A. Stephen Morse:
Reaching a consensus with limited information. Syst. Control. Lett. 176: 105524 (2023) - [c9]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Distributed Optimization*. ACC 2023: 1307-1312 - [c8]Yixuan Lin:
RhySpeech: A Deployable Rhythmic Text-to-Speech Based on Feed-Forward Transformer for Reading Disabilities. CACML 2023: 329-337 - 2022
- [j2]Tong Zhang, Yixuan Lin, Weimin He, FengXin Yuan, Yu Zeng, Shihua Zhang:
GCN-GENE: A novel method for prediction of coronary heart disease-related genes. Comput. Biol. Medicine 150: 105918 (2022) - [j1]Yiming Zeng, Yixuan Lin, Yuanyuan Yang, Ji Liu:
Differentially Private Federated Temporal Difference Learning. IEEE Trans. Parallel Distributed Syst. 33(11): 2714-2726 (2022) - [c7]Yixuan Lin:
RPSigmoid: A Randomized Parameterization for a Sigmoidal Activation Function. AISS 2022: 20:1-20:5 - [c6]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Constrained Consensus over Complete Graphs via Feasibility Redundancy. ACC 2022: 3418-3422 - [c5]Jingxuan Zhu, Yixuan Lin, Ji Liu, A. Stephen Morse:
Reaching a Consensus with Limited Information. CDC 2022: 4579-4584 - [c4]Yixuan Lin, Ji Liu:
Subgradient-Push Is of the Optimal Convergence Rate. CDC 2022: 5849-5856 - [i6]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Constrained Consensus over Complete Graphs via Feasibility Redundancy. CoRR abs/2203.14123 (2022) - [i5]Martin Figura, Yixuan Lin, Ji Liu, Vijay Gupta:
Cooperative Actor-Critic via TD Error Aggregation. CoRR abs/2207.12533 (2022) - [i4]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Distributed Optimization. CoRR abs/2209.13095 (2022) - 2021
- [c3]Yixuan Lin, Weihao Xuan, Ruijie Ren, Ji Liu:
On a Discrete-Time Network SIS Model with Opinion Dynamics. CDC 2021: 2098-2103 - [i3]Martin Figura, Yixuan Lin, Ji Liu, Vijay Gupta:
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation. CoRR abs/2111.06776 (2021) - [i2]Yixuan Lin, Vijay Gupta, Ji Liu:
Finite-Time Error Bounds for Distributed Linear Stochastic Approximation. CoRR abs/2111.12665 (2021) - 2020
- [c2]Yixuan Lin, Shripad Gade, Romeil Sandhu, Ji Liu:
Toward Resilient Multi-Agent Actor-Critic Algorithms for Distributed Reinforcement Learning. ACC 2020: 3953-3958
2010 – 2019
- 2019
- [c1]Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu:
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CDC 2019: 5562-5567 - [i1]Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu:
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR abs/1907.03053 (2019)
Coauthor Index
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