Mengke Lian

17 papers B 5Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Distributed Algorithms for Linear Equations Over General Directed Networks.
IEEE Trans. Neural Networks Learn. Syst.
Mengke Lian, Zhenyuan Guo, Xiaoxuan Wang, Shiping Wen, Tingwen Huang
2024 — conf
Alternative Perception, Broadening Sensing: From Passive to Active: Opening Conversations with Wearables.
UbiComp Companion
Mengke Lian
2024 J jnl
Distributed Adaptive Algorithm for Resource Allocation Problem Over Weight-Unbalanced Graphs.
IEEE Trans. Netw. Sci. Eng.
Mengke Lian, Zhenyuan Guo, Shiping Wen, Tingwen Huang
2024 J jnl
Distributed Predefined-Time Algorithm for System of Linear Equations Over Directed Networks.
IEEE Trans. Circuits Syst. II Express Briefs
Mengke Lian, Zhenyuan Guo, Shiping Wen, Tingwen Huang
2024 — conf
Invisible to Visible: Alternative Human Interaction with Sensory-Enhancing Wearables.
UbiComp Companion
Mengke Lian
2024 B conf
Sensitive Wing: Reclaiming Ownership.
TEI
Mengke Lian
2023 J jnl
Adaptive Exact Penalty Design for Optimal Resource Allocation.
IEEE Trans. Neural Networks Learn. Syst.
Mengke Lian, Zhenyuan Guo, Xiaoxuan Wang, Shiping Wen, Tingwen Huang
2022 J jnl
A Distributed Dynamical System for Optimal Resource Allocation Over State-Dependent Networks.
IEEE Trans. Netw. Sci. Eng.
Xiaoxuan Wang, Shaofu Yang, Zhenyuan Guo, Mengke Lian, Tingwen Huang
2022 J jnl
An Adaptive Multi-Agent System With Duplex Control Laws for Distributed Resource Allocation.
IEEE Trans. Netw. Sci. Eng.
Zhenyuan Guo, Mengke Lian, Shiping Wen, Tingwen Huang
2020 B conf
Adaptive Procedures for Discriminating Between Arbitrary Tensor-Product Quantum States.
ISIT
Sarah Brandsen, Mengke Lian, Kevin D. Stubbs, Narayanan Rengaswamy, Henry D. Pfister
2020 B conf
Decoding Reed-Muller Codes Using Redundant Code Constraints.
ISIT
Mengke Lian, Christian Häger, Henry D. Pfister
2019 — —
Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems.
Mengke Lian
2019 B conf
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation.
ISIT
Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister
2019 J jnl
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation.
CoRR
Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister
2019 J jnl
What Can Machine Learning Teach Us about Communications?
CoRR
Mengke Lian, Christian Häger, Henry D. Pfister
2018 B conf
What Can Machine Learning Teach Us about Communications?
ITW
Mengke Lian, Christian Häger, Henry D. Pfister
2015 — conf
Belief-propagation reconstruction for compressed sensing: Quantization vs. Gaussian approximation.
Allerton
Mengke Lian, Henry D. Pfister