Ran Xin

According to our database, Ran Xin authored at least 32 papers between 2014 and 2024.

Collaborative distances:

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

2024

A few-shot disease diagnosis decision making model based on meta-learning for general practice.

Qianghua Liu, Yu Tian, Tianshu Zhou, Kewei Lyu, Ran Xin, Yong Shang, Ying Liu, Jingjing Ren, Jingsong Li

Artif. Intell. Medicine, January, 2024

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

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Variance Reduced Stochastic Optimization Over Directed Graphs with Row and Column Stochastic Weights.

Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

A Fast Randomized Incremental Gradient Method for Decentralized Nonconvex Optimization.

Ran Xin, Usman A. Khan, Soummya Kar

IEEE Trans. Autom. Control., 2022

Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction.

Ran Xin, Usman A. Khan, Soummya Kar

SIAM J. Optim., 2022

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

2021

An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization.

Ran Xin, Usman A. Khan, Soummya Kar

IEEE Trans. Signal Process., 2021

EHR-Oriented Knowledge Graph System: Toward Efficient Utilization of Non-Used Information Buried in Routine Clinical Practice.

Yong Shang, Yu Tian, Min Zhou, Tianshu Zhou, Kewei Lyu, Zhixiao Wang, Ran Xin, Tingbo Liang, Shiqiang Zhu, Jingsong Li

IEEE J. Biomed. Health Informatics, 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

A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization.

Ran Xin, Usman A. Khan, Soummya Kar

Proceedings of the 38th International Conference on Machine Learning, 2021

A Decentralized Variance-Reduced Method for Stochastic Optimization Over Directed Graphs.

Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence.

Ran Xin, Usman A. Khan, Soummya Kar

IEEE Trans. Signal Process., 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

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

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

A General Framework for Decentralized Optimization With First-Order Methods.

Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan

Proc. IEEE, 2020

A fast randomized incremental gradient method for decentralized non-convex optimization.

Ran Xin, Usman A. Khan, Soummya Kar

CoRR, 2020

A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization.

Ran Xin, Usman A. Khan, Soummya Kar

CoRR, 2020

Gradient tracking and variance reduction for decentralized optimization and machine learning.

Ran Xin, Soummya Kar, Usman A. Khan

CoRR, 2020

GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization.

Ran Xin, Boyue Li, Soummya Kar, Usman A. Khan

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Distributed Nesterov Gradient Methods Over Arbitrary Graphs.

Ran Xin, Dusan Jakovetic, Usman A. Khan

IEEE Signal Process. Lett., 2019

FROST - Fast row-stochastic optimization with uncoordinated step-sizes.

Ran Xin, Chenguang Xi, Usman A. Khan

EURASIP J. Adv. Signal Process., 2019

Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG.

Ran Xin, Usman A. Khan, Soummya Kar

CoRR, 2019

Decentralized Stochastic First-Order Methods for Large-scale Machine Learning.

Ran Xin, Soummya Kar, Usman A. Khan

CoRR, 2019

Distributed Training with Mobile Agents: Optimization Over Dynamic Directed Graphs.

Fakhteh Saadatniaki, Ran Xin, Usman A. Khan

Proceedings of the IEEE Data Science Workshop, 2019

Distributed stochastic optimization with gradient tracking over strongly-connected networks.

Ran Xin, Anit Kumar Sahu, Usman A. Khan, Soummya Kar

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

Distributed empirical risk minimization over directed graphs.

Ran Xin, Anit Kumar Sahu, Soummya Kar, Usman A. Khan

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

ADD-OPT: Accelerated Distributed Directed Optimization.

Chenguang Xi, Ran Xin, Usman A. Khan

IEEE Trans. Autom. Control., 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

A Linear Algorithm for Optimization Over Directed Graphs With Geometric Convergence.

Ran Xin, Usman A. Khan

IEEE Control. Syst. Lett., 2018

Subgradient Projection Over Directed Graphs Using Surplus Consensus.

Ran Xin, Chenguang Xi, Usman A. Khan

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2014

AP Association for Proportional Fairness in Multirate WLANs.

Wei Li, Shengling Wang, Yong Cui, Xiuzhen Cheng, Ran Xin, Mznah Al-Rodhaan, Abdullah Al-Dhelaan

IEEE/ACM Trans. Netw., 2014