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2020 – today
- 2024
[j5]Mengke Lian, Zhenyuan Guo
, Shiping Wen, Tingwen Huang:
Distributed Predefined-Time Algorithm for System of Linear Equations Over Directed Networks. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 2139-2143 (2024)- [j4]Mengke Lian, Zhenyuan Guo, Shiping Wen, Tingwen Huang:
Distributed Adaptive Algorithm for Resource Allocation Problem Over Weight-Unbalanced Graphs. IEEE Trans. Netw. Sci. Eng. 11(1): 416-426 (2024) - [c6]Mengke Lian:
Sensitive Wing: Reclaiming Ownership. TEI 2024: 98:1-98:4 - 2023
- [j3]Mengke Lian, Zhenyuan Guo, Xiaoxuan Wang, Shiping Wen, Tingwen Huang:
Adaptive Exact Penalty Design for Optimal Resource Allocation. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1430-1438 (2023) - 2022
- [j2]Zhenyuan Guo, Mengke Lian, Shiping Wen, Tingwen Huang:
An Adaptive Multi-Agent System With Duplex Control Laws for Distributed Resource Allocation. IEEE Trans. Netw. Sci. Eng. 9(2): 389-400 (2022) - [j1]Xiaoxuan Wang, Shaofu Yang, Zhenyuan Guo, Mengke Lian, Tingwen Huang:
A Distributed Dynamical System for Optimal Resource Allocation Over State-Dependent Networks. IEEE Trans. Netw. Sci. Eng. 9(4): 2940-2951 (2022) - 2020
- [c5]Mengke Lian, Christian Häger, Henry D. Pfister:
Decoding Reed-Muller Codes Using Redundant Code Constraints. ISIT 2020: 42-47 - [c4]Sarah Brandsen, Mengke Lian, Kevin D. Stubbs, Narayanan Rengaswamy, Henry D. Pfister:
Adaptive Procedures for Discriminating Between Arbitrary Tensor-Product Quantum States. ISIT 2020: 1933-1938
2010 – 2019
- 2019
- [b1]Mengke Lian:
Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems. Duke University, Durham, NC, USA, 2019 - [c3]Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister:
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. ISIT 2019: 161-165 - [i2]Mengke Lian, Christian Häger, Henry D. Pfister:
What Can Machine Learning Teach Us about Communications? CoRR abs/1901.07592 (2019) - [i1]Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister:
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. CoRR abs/1901.08621 (2019) - 2018
- [c2]Mengke Lian, Christian Häger, Henry D. Pfister:
What Can Machine Learning Teach Us about Communications? ITW 2018: 1-5 - 2015
- [c1]Mengke Lian, Henry D. Pfister:
Belief-propagation reconstruction for compressed sensing: Quantization vs. Gaussian approximation. Allerton 2015: 1106-1113
Coauthor Index
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