AP Association for Proportional Fairness in Multirate WLANs. - Wei Li 059; Shengling Wang 001; Yong Cui 001; Xiuzhen Cheng 001; Ran Xin; Mznah Al-Rodhaan; Abdullah Al-Dhelaan (IEEE/ACM Trans. Netw., 2014)

Subgradient Projection Over Directed Graphs Using Surplus Consensus. - Ran Xin; Chenguang Xi; Usman A. Khan (DSW, 2018)

A Linear Algorithm for Optimization Over Directed Graphs With Geometric Convergence. - Ran Xin; Usman A. Khan (IEEE Control. Syst. Lett., 2018)

Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices. - Chenguang Xi; Van Sy Mai; Ran Xin; Eyad H. Abed; Usman A. Khan (IEEE Trans. Autom. Control., 2018)

ADD-OPT: Accelerated Distributed Directed Optimization. - Chenguang Xi; Ran Xin; Usman A. Khan (IEEE Trans. Autom. Control., 2018)

Distributed empirical risk minimization over directed graphs. - Ran Xin; Anit Kumar Sahu; Soummya Kar; Usman A. Khan (ACSSC, 2019)

Distributed stochastic optimization with gradient tracking over strongly-connected networks. - Ran Xin; Anit Kumar Sahu; Usman A. Khan; Soummya Kar (CDC, 2019)

Distributed Training with Mobile Agents: Optimization Over Dynamic Directed Graphs. - Fakhteh Saadatniaki; Ran Xin; Usman A. Khan (DSW, 2019)

Decentralized Stochastic First-Order Methods for Large-scale Machine Learning. - Ran Xin; Soummya Kar; Usman A. Khan (CoRR, 2019)

Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG. - Ran Xin; Usman A. Khan; Soummya Kar (CoRR, 2019)

FROST - Fast row-stochastic optimization with uncoordinated step-sizes. - Ran Xin; Chenguang Xi; Usman A. Khan (EURASIP J. Adv. Signal Process., 2019)

Distributed Nesterov Gradient Methods Over Arbitrary Graphs. - Ran Xin; Dusan Jakovetic; Usman A. Khan (IEEE Signal Process. Lett., 2019)

GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization. - Ran Xin; Boyue Li; Soummya Kar; Usman A. Khan (CDC, 2020)

Gradient tracking and variance reduction for decentralized optimization and machine learning. - Ran Xin; Soummya Kar; Usman A. Khan (CoRR, 2020)

A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization. - Ran Xin; Usman A. Khan; Soummya Kar (CoRR, 2020)

A fast randomized incremental gradient method for decentralized non-convex optimization. - Ran Xin; Usman A. Khan; Soummya Kar (CoRR, 2020)

A General Framework for Decentralized Optimization With First-Order Methods. - Ran Xin; Shi Pu 004; Angelia Nedic; Usman A. Khan (Proc. IEEE, 2020)

Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence. - Ran Xin; Soummya Kar; Usman A. Khan (IEEE Signal Process. Mag., 2020)

Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices. - Fakhteh Saadatniaki; Ran Xin; Usman A. Khan (IEEE Trans. Autom. Control., 2020)

Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods With Gradient Tracking. - Ran Xin; Usman A. Khan (IEEE Trans. Autom. Control., 2020)

Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence. - Ran Xin; Usman A. Khan; Soummya Kar (IEEE Trans. Signal Process., 2020)

A Decentralized Variance-Reduced Method for Stochastic Optimization Over Directed Graphs. - Muhammad I. Qureshi; Ran Xin; Soummya Kar; Usman A. Khan (ICASSP, 2021)

A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization. - Ran Xin; Usman A. Khan; Soummya Kar (ICML, 2021)

S-ADDOPT: Decentralized Stochastic First-Order Optimization Over Directed Graphs. - Muhammad I. Qureshi; Ran Xin; Soummya Kar; Usman A. Khan (IEEE Control. Syst. Lett., 2021)

EHR-Oriented Knowledge Graph System: Toward Efficient Utilization of Non-Used Information Buried in Routine Clinical Practice. - Yong Shang; Yu Tian 002; Min Zhou; Tianshu Zhou; Kewei Lyu; Zhixiao Wang; Ran Xin; Tingbo Liang; Shiqiang Zhu; Jingsong Li 001 (IEEE J. Biomed. Health Informatics, 2021)

An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization. - Ran Xin; Usman A. Khan; Soummya Kar (IEEE Trans. Signal Process., 2021)

Push-SAGA: A Decentralized Stochastic Algorithm With Variance Reduction Over Directed Graphs. - Muhammad I. Qureshi; Ran Xin; Soummya Kar; Usman A. Khan (IEEE Control. Syst. Lett., 2022)

Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction. - Ran Xin; Usman A. Khan; Soummya Kar (SIAM J. Optim., 2022)

A Fast Randomized Incremental Gradient Method for Decentralized Nonconvex Optimization. - Ran Xin; Usman A. Khan; Soummya Kar (IEEE Trans. Autom. Control., 2022)

Variance Reduced Stochastic Optimization Over Directed Graphs with Row and Column Stochastic Weights. - Muhammad I. Qureshi; Ran Xin; Soummya Kar; Usman A. Khan (ACSSC, 2023)

A Personal Healthcare Knowledge Graph Framework for Diagnosis of Pelvic Masses Diseases. - Ran Xin; Jia Chen; Feifei Bao; Yong Shang; Xu Han; Jingsong Li 001 (MedInfo, 2023)

A few-shot disease diagnosis decision making model based on meta-learning for general practice. - Qianghua Liu; Yu Tian 002; Tianshu Zhou; Kewei Lyu; Ran Xin; Yong Shang; Ying Liu; Jingjing Ren; Jingsong Li 001 (Artif. Intell. Medicine, 2024)

BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving. - Ran Xin; Chenguang Xi; Jie Yang; Feng Chen; Hang Wu; Xia Xiao; Yifan Sun; Shen Zheng; Ming Ding (ACL (1), 2025)

Closed-Loop Control of Robotic Cutting through Tactile Force Estimation. - Ran Xin; Arsen Abdulali; Fumiya Iida (RoboSoft, 2025)

Understanding the Influence of Digraphs on Decentralized Optimization: Effective Metrics, Lower Bound, and Optimal Algorithm. - Liyuan Liang; Xinmeng Huang; Ran Xin; Kun Yuan 001 (SIAM J. Optim., 2025)

BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving. - Ran Xin; Chenguang Xi; Jie Yang; Feng Chen; Hang Wu; Xia Xiao; Yifan Sun; Shen Zheng; Kai Shen (CoRR, 2025)