A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. - Yixuan Lin; Kaiqing Zhang; Zhuoran Yang; Zhaoran Wang 001; Tamer Basar; Romeil Sandhu; Ji Liu 001 (CDC, 2019)

Toward Resilient Multi-Agent Actor-Critic Algorithms for Distributed Reinforcement Learning. - Yixuan Lin; Shripad Gade; Romeil Sandhu; Ji Liu 001 (ACC, 2020)

On a Discrete-Time Network SIS Model with Opinion Dynamics. - Yixuan Lin; Weihao Xuan; Ruijie Ren; Ji Liu 001 (CDC, 2021)

Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation. - Martin Figura; Yixuan Lin; Ji Liu 001; Vijay Gupta 001 (CoRR, 2021)

RPSigmoid: A Randomized Parameterization for a Sigmoidal Activation Function. - Yixuan Lin (AISS, 2022)

Resilient Constrained Consensus over Complete Graphs via Feasibility Redundancy. - Jingxuan Zhu; Yixuan Lin; Alvaro Velasquez; Ji Liu 001 (ACC, 2022)

Subgradient-Push Is of the Optimal Convergence Rate. - Yixuan Lin; Ji Liu 001 (CDC, 2022)

Reaching a Consensus with Limited Information. - Jingxuan Zhu; Yixuan Lin; Ji Liu 001; A. Stephen Morse (CDC, 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)

Cooperative Actor-Critic via TD Error Aggregation. - Martin Figura; Yixuan Lin; Ji Liu 001; Vijay Gupta 001 (CoRR, 2022)

Resilient Distributed Optimization. - Jingxuan Zhu; Yixuan Lin; Alvaro Velasquez; Ji Liu 001 (CoRR, 2022)

Differentially Private Federated Temporal Difference Learning. - Yiming Zeng 001; Yixuan Lin; Yuanyuan Yang 001; Ji Liu 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Resilient Distributed Optimization*. - Jingxuan Zhu; Yixuan Lin; Alvaro Velasquez; Ji Liu 001 (ACC, 2023)

RhySpeech: A Deployable Rhythmic Text-to-Speech Based on Feed-Forward Transformer for Reading Disabilities. - Yixuan Lin (CACML, 2023)

A multiorder feature tracking and explanation strategy for explainable deep learning. - Lin Zheng; Yixuan Lin (J. Intell. Syst., 2023)

Heterogeneous Distributed Subgradient. - Yixuan Lin; Marco Gamarra; Ji Liu (ACC, 2024)

Finite-time error bounds for distributed linear stochastic approximation. - Yixuan Lin; Vijay Gupta 001; Ji Liu 001 (Autom., 2024)

Resilient Multiagent Reinforcement Learning With Function Approximation. - Lintao Ye; Martin Figura; Yixuan Lin; Mainak Pal; Pranoy Das; Ji Liu 001; Vijay Gupta 001 (IEEE Trans. Autom. Control., 2024)

Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction. - Yixuan Lin; Weiping Lin; Chenxu Guo; Xinxin Yang; Hongxue Meng; Liansheng Wang (MICCAI (6), 2025)

Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images. - Weiping Lin; Runchen Zhu; Wentai Hou; Jiacheng Wang 002; Yixuan Lin; Rui Chen; Na Ta 011; Liansheng Wang (MICCAI (14), 2025)

Exploring the feasibility and sensitivity of deep reinforcement learning controlled traffic signals in bidirectional two-lane road work zones. - Li Song; Yixuan Lin; Xin Zhao; Nengchao Lyu; Wei Fan (Expert Syst. Appl., 2025)