Xiangming Meng

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 50

Top Topics

Bayesian Learning

Bayesian Inference

Message Passing

Generative Model

Top Venues

IEEE Commun. Lett.

IEEE Signal Process. Lett.

Publications

Xiangming Meng, Yoshiyuki Kabashima
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models. AAAI (2024)
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
On Model Selection Consistency of Lasso for High-Dimensional Ising Models. AISTATS (2023)
Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima
Average case analysis of Lasso under ultra sparse conditions. AISTATS (2023)
Jiang Zhu, Xiangming Meng, Xupeng Lei, Qinghua Guo
A Unitary Transform Based Generalized Approximate Message Passing. ICASSP (2023)
Meng Cheng, Xiangming Meng
Decode-and-Forward vs. Lossy-Forward: Intelligent Reflecting Surface-Assisted Sidelink Transmission. IEEE Trans. Veh. Technol. 72 (9) (2023)
Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima
Average case analysis of Lasso under ultra-sparse conditions. CoRR (2023)
Xiangming Meng, Yoshiyuki Kabashima
Quantized Compressed Sensing with Score-Based Generative Models. ICLR (2023)
Xiangming Meng, Yoshiyuki Kabashima
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models for General Sensing Matrices. CoRR (2023)
Ziyin Liu, Botao Li, Xiangming Meng
Exact Solutions of a Deep Linear Network. CoRR (2022)
Xiangming Meng, Yoshiyuki Kabashima
Quantized Compressed Sensing with Score-Based Generative Models. CoRR (2022)
Ziyin Liu, Botao Li, Xiangming Meng
Exact Solutions of a Deep Linear Network. NeurIPS (2022)
Xiangming Meng, Yoshiyuki Kabashima
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems. CoRR (2022)
Ziyin Liu, Hanlin Zhang, Xiangming Meng, Yuting Lu, Eric P. Xing, Masahito Ueda
Stochastic Neural Networks with Infinite Width are Deterministic. CoRR (2022)
Jiang Zhu, Xiangming Meng, Xupeng Lei, Qinghua Guo
A Unitary Transform Based Generalized Approximate Message Passing. CoRR (2022)
Xiangming Meng, Lei Zhang, Chao Wang, Lei Wang, Yiqun Wu, Yan Chen, Wenjin Wang
Advanced NOMA Receivers From a Unified Variational Inference Perspective. IEEE J. Sel. Areas Commun. 39 (4) (2021)
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs. CoRR (2021)
Man Luo, Qinghua Guo, Ming Jin, Yonina C. Eldar, Defeng Huang, Xiangming Meng
Unitary Approximate Message Passing for Sparse Bayesian Learning. IEEE Trans. Signal Process. 69 (2021)
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis. NeurIPS (2021)
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
-Regularized Linear Regression. CoRR (2021)
Xiangming Meng, Roman Bachmann, Mohammad Emtiyaz Khan
Training Binary Neural Networks using the Bayesian Learning Rule. CoRR (2020)
Xiangming Meng
Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule. CoRR (2020)
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
-Regularized Linear Estimator. CoRR (2020)
Jiang Zhu, Qi Zhang, Xiangming Meng, Zhiwei Xu
Vector approximate message passing algorithm for compressed sensing with structured matrix perturbation. Signal Process. 166 (2020)
Xiangming Meng, Roman Bachmann, Mohammad Emtiyaz Khan
Training Binary Neural Networks using the Bayesian Learning Rule. ICML (2020)
Jiang Zhu, Lin Han, Xiangming Meng
An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm. IEEE Access 7 (2019)
Xiangming Meng, Jiang Zhu
Bilinear Adaptive Generalized Vector Approximate Message Passing. IEEE Access 7 (2019)
Lei Zhang, Xiangming Meng, Lei Wang, Yan Chen
Joint User Activity and Data Detection for NOMA via the Integrated Framework of Expectation Maximization and Expectation Propagation. SPAWC (2019)
Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen
A Universal Receiver for Uplink NOMA Systems. CoRR (2018)
Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen
Turbo-Like Iterative Multi-User Receiver Design for 5G Non-Orthogonal Multiple Access. VTC Fall (2018)
Malong Ke, Zhen Gao, Yongpeng Wu, Xiangming Meng
Compressive Massive Random Access for Massive Machine-Type Communications (mMTC). CoRR (2018)
Xiangming Meng, Jiang Zhu
A Generalized Sparse Bayesian Learning Algorithm for 1-bit DOA Estimation. IEEE Commun. Lett. 22 (7) (2018)
Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen
A Universal Receiver for Uplink NOMA Systems. ICCC Workshops (2018)
Xiangming Meng, Jiang Zhu
Bilinear Adaptive Generalized Vector Approximate Message Passing. CoRR (2018)
Jiang Zhu, Lin Han, Xiangming Meng, Zhiwei Xu
Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing. CoRR (2018)
Malong Ke, Zhen Gao, Yongpeng Wu, Xiangming Meng
Compressive Massive Random Access for Massive Machine-Type Communications (mMTC). GlobalSIP (2018)
Jiang Zhu, Qi Zhang, Xiangming Meng
Off-grid Variational Bayesian Inference of Line Spectral Estimation from One-bit Samples. CoRR (2018)
Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen
Turbo-like Iterative Multi-user Receiver Design for 5G Non-orthogonal Multiple Access. CoRR (2018)
Xiangming Meng, Sheng Wu, Jiang Zhu
A Unified Bayesian Inference Framework for Generalized Linear Models. IEEE Signal Process. Lett. 25 (3) (2018)
Xiangming Meng, Yiqun Wu, Yan Chen, Meng Cheng
Low Complexity Receiver for Uplink SCMA System via Expectation Propagation. WCNC (2017)
Xiangming Meng, Yiqun Wu, Yan Chen, Meng Cheng
Low Complexity Receiver for Uplink SCMA System via Expectation Propagation. CoRR (2017)
Xiangming Meng, Sheng Wu, Jiang Zhu
A Unified Bayesian Inference Framework for Generalized Linear Models. CoRR (2017)
Xincong Lin, Sheng Wu, Linling Kuang, Zuyao Ni, Xiangming Meng, Chunxiao Jiang
Estimation of Sparse Massive MIMO-OFDM Channels With Approximately Common Support. IEEE Commun. Lett. 21 (5) (2017)
Kun Wu, Guangliang Ren, Xiangming Meng, Jueying Wu, Qiwei Wang
Spectral-Efficient Band Allocation Scheme for Frequency-Domain Pulse-Shaping-Based SC-FDMA Systems. IEEE Trans. Veh. Technol. 66 (9) (2017)
Sheng Wu, Zuyao Ni, Xiangming Meng, Linling Kuang
Block Expectation Propagation for Downlink Channel Estimation in Massive MIMO Systems. IEEE Commun. Lett. 20 (11) (2016)
Xiangming Meng, Sheng Wu, Linling Kuang, Defeng Huang, Jianhua Lu
Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning. CoRR (2016)
Xiangming Meng, Sheng Wu, Linling Kuang, Defeng Huang, Jianhua Lu
Multi-User Detection for Spatial Modulation via Structured Approximate Message Passing. IEEE Commun. Lett. 20 (8) (2016)
Xiangming Meng, Sheng Wu, Linling Kuang, Jianhua Lu
Concise Derivation of Complex Bayesian Approximate Message Passing via Expectation Propagation. CoRR (2015)
Xiangming Meng, Sheng Wu, Linling Kuang, Jianhua Lu
An Expectation Propagation Perspective on Approximate Message Passing. IEEE Signal Process. Lett. 22 (8) (2015)
Xiangming Meng, Sheng Wu, Linling Kuang, Jianhua Lu
Message Passing Approach to Regularized Zero-Forcing Precoding in Multibeam Satellite Systems. VTC Fall (2015)
Xiangming Meng, Sheng Wu, Linling Kuang, Zuyao Ni, Jianhua Lu
Novel Scheme of Orthogonal Convolutional Coding and Non-Iterative Decoding for Mobile Satellite Communication Systems. VTC Fall (2015)
Xiangming Meng, Sheng Wu, Linling Kuang, Zuyao Ni, Jianhua Lu
Expectation Propagation Based Iterative Multi-User Detection for MIMO-IDMA Systems. VTC Spring (2014)