Mengke Lian

According to our database, Mengke Lian authored at least 12 papers between 2015 and 2024.

Collaborative distances:

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

2024

Distributed Predefined-Time Algorithm for System of Linear Equations Over Directed Networks.

Mengke Lian, Zhenyuan Guo, Shiping Wen, Tingwen Huang

IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Distributed Adaptive Algorithm for Resource Allocation Problem Over Weight-Unbalanced Graphs.

Mengke Lian, Zhenyuan Guo, Shiping Wen, Tingwen Huang

IEEE Trans. Netw. Sci. Eng., 2024

Sensitive Wing: Reclaiming Ownership.

Mengke Lian

Proceedings of the Eighteenth International Conference on Tangible, 2024

2023

Adaptive Exact Penalty Design for Optimal Resource Allocation.

Mengke Lian, Zhenyuan Guo, Xiaoxuan Wang, Shiping Wen, Tingwen Huang

IEEE Trans. Neural Networks Learn. Syst., March, 2023

2022

A Distributed Dynamical System for Optimal Resource Allocation Over State-Dependent Networks.

Xiaoxuan Wang, Shaofu Yang, Zhenyuan Guo, Mengke Lian, Tingwen Huang

IEEE Trans. Netw. Sci. Eng., 2022

An Adaptive Multi-Agent System With Duplex Control Laws for Distributed Resource Allocation.

Zhenyuan Guo, Mengke Lian, Shiping Wen, Tingwen Huang

IEEE Trans. Netw. Sci. Eng., 2022

2020

Decoding Reed-Muller Codes Using Redundant Code Constraints.

Mengke Lian, Christian Häger, Henry D. Pfister

Proceedings of the IEEE International Symposium on Information Theory, 2020

Adaptive Procedures for Discriminating Between Arbitrary Tensor-Product Quantum States.

Sarah Brandsen, Mengke Lian, Kevin D. Stubbs, Narayanan Rengaswamy, Henry D. Pfister

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems.

Mengke Lian

PhD thesis, 2019

Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation.

Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

What Can Machine Learning Teach Us about Communications?

Mengke Lian, Christian Häger, Henry D. Pfister

Proceedings of the IEEE Information Theory Workshop, 2018

2015

Belief-propagation reconstruction for compressed sensing: Quantization vs. Gaussian approximation.

Mengke Lian, Henry D. Pfister

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015