Takip et
Xiangming Meng
Xiangming Meng
The Zhejiang University-University of Illinois Urbana-Champaign Institute, Zhejiang University
intl.zju.edu.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Low complexity receiver for uplink SCMA system via expectation propagation
X Meng, Y Wu, Y Chen, M Cheng
2017 IEEE wireless communications and networking conference (WCNC), 1-5, 2017
1042017
A unified Bayesian inference framework for generalized linear models
X Meng, S Wu, J Zhu
IEEE Signal Processing Letters 25 (3), 398-402, 2018
742018
Unitary approximate message passing for sparse Bayesian learning
M Luo, Q Guo, M Jin, YC Eldar, D Huang, X Meng
IEEE transactions on signal processing 69, 6023-6039, 2021
732021
A generalized sparse Bayesian learning algorithm for 1-bit DOA estimation
X Meng, J Zhu
IEEE Communications Letters 22 (7), 1414-1417, 2018
682018
An expectation propagation perspective on approximate message passing
X Meng, S Wu, L Kuang, J Lu
IEEE Signal Processing Letters 22 (8), 1194-1197, 2015
642015
Training binary neural networks using the bayesian learning rule
X Meng, R Bachmann, ME Khan
International conference on machine learning, 6852-6861, 2020
502020
Diffusion model based posterior sampling for noisy linear inverse problems
X Meng, Y Kabashima
arXiv preprint arXiv:2211.12343, 2022
472022
Estimation of sparse massive MIMO-OFDM channels with approximately common support
X Lin, S Wu, L Kuang, Z Ni, X Meng, C Jiang
IEEE Communications Letters 21 (5), 1179-1182, 2017
412017
Bilinear adaptive generalized vector approximate message passing
X Meng, J Zhu
IEEE Access 7, 4807-4815, 2018
402018
Block expectation propagation for downlink channel estimation in massive MIMO systems
S Wu, Z Ni, X Meng, L Kuang
IEEE communications letters 20 (11), 2225-2228, 2016
302016
Multi-user detection for spatial modulation via structured approximate message passing
X Meng, S Wu, L Kuang, D Huang, J Lu
IEEE Communications Letters 20 (8), 1527-1530, 2016
302016
Advanced NOMA receivers from a unified variational inference perspective
X Meng, L Zhang, C Wang, L Wang, Y Wu, Y Chen, W Wang
IEEE Journal on Selected Areas in Communications 39 (4), 934-948, 2020
282020
An AMP-based low complexity generalized sparse Bayesian learning algorithm
J Zhu, L Han, X Meng
IEEE Access 7, 7965-7976, 2018
262018
Expectation propagation based iterative multi-user detection for MIMO-IDMA systems
X Meng, S Wu, L Kuang, Z Ni, J Lu
2014 IEEE 79th Vehicular Technology Conference (VTC Spring), 1-5, 2014
242014
Exact solutions of a deep linear network
L Ziyin, B Li, X Meng
NeurIPS2022 (arXiv preprint arXiv:2202.04777), 2022
202022
Concise derivation of complex Bayesian approximate message passing via expectation propagation
X Meng, S Wu, L Kuang, J Lu
arXiv preprint arXiv:1509.08658, 2015
182015
Efficient recovery of structured sparse signals via approximate message passing with structured spike and slab prior
X Meng, S Wu, MR Andersen, J Zhu, Z Ni
China Communications 15 (6), 1-17, 2018
112018
Approximate message passing with nearest neighbor sparsity pattern learning
X Meng, S Wu, L Kuang, J Lu
arXiv preprint arXiv:1601.00543, 2016
112016
Vector approximate message passing algorithm for compressed sensing with structured matrix perturbation
J Zhu, Q Zhang, X Meng, Z Xu
Signal Processing 166, 107248, 2020
92020
Compressive massive random access for massive machine-type communications (mMTC)
M Ke, Z Gao, Y Wu, X Meng
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
92018
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