Liang Ran

According to our database, Liang Ran authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Distributed Primal-Dual Proximal Algorithms for Convex Optimization Involving Three Composite Functions.

Liang Ran, Huaqing Li, Jinhui Hu, Qingguo Lü, Zheng Wang, Zhe Li, Guo Chen

IEEE Trans. Control. Netw. Syst., March, 2024

Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms.

Liang Ran, Huaqing Li, Lifeng Zheng, Jun Li, Zhe Li, Jinhui Hu

IEEE Trans. Signal Inf. Process. over Networks, 2024

Distributed Generalized Nash Equilibria Seeking Algorithms Involving Synchronous and Asynchronous Schemes.

Huaqing Li, Liang Ran, Lifeng Zheng, Zhe Li, Jinhui Hu, Jun Li, Tingwen Huang

CoRR, 2024

2023

Distributed Primal-Dual Algorithms for Stochastic Generalized Nash Equilibrium Seeking Under Full and Partial-Decision Information.

Lifeng Zheng, Huaqing Li, Liang Ran, Lan Gao, Dawen Xia

IEEE Trans. Control. Netw. Syst., June, 2023

Achieving linear convergence for differentially private full-decentralized economic dispatch over directed networks.

Jinhui Hu, Guo Chen, Huaqing Li, Tingwen Huang, Liang Ran

Inf. Sci., 2023

2022

Decentralized proximal splitting algorithms for composite constrained convex optimization.

Lifeng Zheng, Liang Ran, Huaqing Li, Liping Feng, Zheng Wang, Qingguo Lü, Dawen Xia

J. Frankl. Inst., 2022

Decentralized Primal-Dual Proximal Operator Algorithm for Constrained Nonsmooth Composite Optimization Problems over Networks.

Liping Feng, Liang Ran, Guoyang Meng, Jialong Tang, Wentao Ding, Huaqing Li

Entropy, 2022

2021

Decentralized Dual Proximal Gradient Algorithms for Non-Smooth Constrained Composite Optimization Problems.

Huaqing Li, Jinhui Hu, Liang Ran, Zheng Wang, Qingguo Lü, Zhenyuan Du, Tingwen Huang

IEEE Trans. Parallel Distributed Syst., 2021

Decentralized stochastic optimization algorithms using uncoordinated step-sizes over unbalanced directed networks.

Jinhui Hu, Liang Ran, Zhenyuan Du, Huaqing Li

Signal Process., 2021

A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool.

Yuan Zhou, Fang Dong, Yufei Liu, Liang Ran

Scientometrics, 2021

Latency optimization for D2D-enabled parallel mobile edge computing in cellular networks.

Yan Cai, Liang Ran, Jun Zhang, Hongbo Zhu

EURASIP J. Wirel. Commun. Netw., 2021

Optimal Task Allocation Policy for Energy Efficient D2D-enabled Mobile Edge Computing.

Yan Cai, Jiacheng Shi, Liang Ran, Jun Zhang, Hongbo Zhu

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

2019

E-Band Link for Next Generation Small-Cell Backhaul in Dense Urban Environment.

Congzheng Han, Shu Duan, Lei Bao, Gaoyuan Zhang, Baofeng Ji, Liang Ran

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2017

Enhancing Access to Digital Media: The Language Application Grid in the HTRC Data Capsule.

James Pustejovsky, Marc Verhagen, Keongmin Rim, Yu Ma, Liang Ran, Samitha Liyanage, Jaimie Murdock, Robert H. McDonald, Beth Plale

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017