Xiangming Meng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Decode-and-Forward vs. Lossy-Forward: Intelligent Reflecting Surface-Assisted Sidelink Transmission.

[BibT_eX]

[DOI]

Meng Cheng

IEEE Trans. Veh. Technol., September, 2023

QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models for General Sensing Matrices.

[BibT_eX]

[DOI]

CoRR, 2023

Quantized Compressed Sensing with Score-Based Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Unitary Transform Based Generalized Approximate Message Passing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Average case analysis of Lasso under ultra sparse conditions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

On Model Selection Consistency of Lasso for High-Dimensional Ising Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2022

Stochastic Neural Networks with Infinite Width are Deterministic.

[BibT_eX]

[DOI]

CoRR, 2022

Exact Solutions of a Deep Linear Network.

[BibT_eX]

[DOI]

Ziyin Liu

Botao Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Unitary Approximate Message Passing for Sparse Bayesian Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Advanced NOMA Receivers From a Unified Variational Inference Perspective.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Ising Model Selection Using 𝓁<sub>1</sub>-Regularized Linear Regression.

[BibT_eX]

[DOI]

CoRR, 2021

Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Vector approximate message passing algorithm for compressed sensing with structured matrix perturbation.

[BibT_eX]

[DOI]

Signal Process., 2020

Structure Learning in Inverse Ising Problems Using 𝓁<sub>2</sub>-Regularized Linear Estimator.

[BibT_eX]

[DOI]

CoRR, 2020

Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule.

[BibT_eX]

[DOI]

CoRR, 2020

Training Binary Neural Networks using the Bayesian Learning Rule.

[BibT_eX]

[DOI]

Roman Bachmann

Mohammad Emtiyaz Khan

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm.

[BibT_eX]

[DOI]

Lin Han

IEEE Access, 2019

Bilinear Adaptive Generalized Vector Approximate Message Passing.

[BibT_eX]

[DOI]

IEEE Access, 2019

Joint User Activity and Data Detection for NOMA via the Integrated Framework of Expectation Maximization and Expectation Propagation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

2018

A Unified Bayesian Inference Framework for Generalized Linear Models.

[BibT_eX]

[DOI]

Sheng Wu

IEEE Signal Process. Lett., 2018

A Generalized Sparse Bayesian Learning Algorithm for 1-bit DOA Estimation.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2018

Off-grid Variational Bayesian Inference of Line Spectral Estimation from One-bit Samples.

[BibT_eX]

[DOI]

Qi Zhang