Mengke Lian

Reinforcement Learning for Channel Coding

Henry D. Pfister, Christian Häger, Mengke Lian, 2020 .

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

Mengke Lian, Mengke Lian, 2019 .

Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation

Henry D. Pfister, Christian Häger, Mengke Lian, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Decoding Reed–Muller Codes Using Redundant Code Constraints

Henry D. Pfister, Christian Häger, Mengke Lian, 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

Adaptive Procedures for Discriminating Between Arbitrary Tensor-Product Quantum States

Henry D. Pfister, Mengke Lian, Narayanan Rengaswamy, 2019, 2020 IEEE International Symposium on Information Theory (ISIT).

What Can Machine Learning Teach Us about Communications?

Henry D. Pfister, Christian Häger, Mengke Lian, 2018, 2018 IEEE Information Theory Workshop (ITW).

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

Henry D. Pfister, Mengke Lian, H. Pfister, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).