Xiangming Meng

64 papers A* 8A 2B 1C 2Misc 1Journal 42Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Transformer Fault Diagnosis Method Based on Data Augmentation and IEVO-CNN. IEEE Trans. Instrum. Meas. Liqun Shang, Xiangming Meng, Yulin Tian, Di An
2025	A*	`conf`	FIG: Flow with Interpolant Guidance for Linear Inverse Problems. ICLR Yici Yan, Yichi Zhang, Xiangming Meng, Zhizhen Zhao
2025	—	`conf`	Flow With Interpolant Guidance for Linear Inverse Problems. CAMSAP Yici Yan, Yichi Zhang, Xiangming Meng, Zhizhen Zhao
2025	J	`jnl`	Generative Bayesian Spectrum Cartography: Unified Reconstruction and Active Sensing via Diffusion Models. CoRR Yuntong Gu, Xiangming Meng, Zhiyuan Lin, Sheng Wu, Linling Kuang
2025	C	`conf`	Industrial Data Synthesis Framework for Fault Diagnosis Using Diffusion and Flow-Based Models. CSCWD Shuting Tao, Xiangming Meng, Hanrong Zhang, Hongwei Wang
2025	J	`jnl`	Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Planner. CoRR Kechen Meng, Sinuo Zhang, Rongpeng Li, Xiangming Meng, Chan Wang, Ming Lei, Zhifeng Zhao
2025	J	`jnl`	SAIP: A Plug-and-Play Scale-adaptive Module in Diffusion-based Inverse Problems. CoRR Lingyu Wang, Xiangming Meng
2025	A*	`conf`	SCSA: A Plug-and-Play Semantic Continuous-Sparse Attention for Arbitrary Semantic Style Transfer. CVPR Chunnan Shang, Zhizhong Wang, Hongwei Wang, Xiangming Meng
2025	J	`jnl`	SCSA: A Plug-and-Play Semantic Continuous-Sparse Attention for Arbitrary Semantic Style Transfer. CoRR Chunnan Shang, Zhizhong Wang, Hongwei Wang, Xiangming Meng
2025	J	`jnl`	UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling. CoRR Peiming Li, Ziyi Wang, Yulin Yuan, Hong Liu, Xiangming Meng, Junsong Yuan, Mengyuan Liu
2024	C	`conf`	Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems. ACML Xiangming Meng, Yoshiyuki Kabashima
2024	J	`jnl`	Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint. CoRR Zhi Qi, Shihong Yuan, Yuyin Yuan, Linling Kuang, Yoshiyuki Kabashima, Xiangming Meng
2024	A*	`conf`	QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models. AAAI Xiangming Meng, Yoshiyuki Kabashima
2024	A*	`conf`	SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data. IJCAI Shuting Tao, Tongtian Zhu, Hongwei Wang, Xiangming Meng
2023	Misc	`conf`	A Unitary Transform Based Generalized Approximate Message Passing. ICASSP Jiang Zhu, Xiangming Meng, Xupeng Lei, Qinghua Guo
2023	A	`conf`	Average case analysis of Lasso under ultra sparse conditions. AISTATS Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima
2023	J	`jnl`	Average case analysis of Lasso under ultra-sparse conditions. CoRR Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima
2023	J	`jnl`	Decode-and-Forward vs. Lossy-Forward: Intelligent Reflecting Surface-Assisted Sidelink Transmission. IEEE Trans. Veh. Technol. Meng Cheng, Xiangming Meng
2023	A	`conf`	On Model Selection Consistency of Lasso for High-Dimensional Ising Models. AISTATS Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2023	J	`jnl`	QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models for General Sensing Matrices. CoRR Xiangming Meng, Yoshiyuki Kabashima
2023	A*	`conf`	Quantized Compressed Sensing with Score-Based Generative Models. ICLR Xiangming Meng, Yoshiyuki Kabashima
2022	J	`jnl`	A Unitary Transform Based Generalized Approximate Message Passing. CoRR Jiang Zhu, Xiangming Meng, Xupeng Lei, Qinghua Guo
2022	J	`jnl`	Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems. CoRR Xiangming Meng, Yoshiyuki Kabashima
2022	A*	`conf`	Exact Solutions of a Deep Linear Network. NeurIPS Liu Ziyin, Botao Li, Xiangming Meng
2022	J	`jnl`	Exact Solutions of a Deep Linear Network. CoRR Liu Ziyin, Botao Li, Xiangming Meng
2022	J	`jnl`	Quantized Compressed Sensing with Score-Based Generative Models. CoRR Xiangming Meng, Yoshiyuki Kabashima
2022	J	`jnl`	Stochastic Neural Networks with Infinite Width are Deterministic. CoRR Liu Ziyin, Hanlin Zhang, Xiangming Meng, Yuting Lu, Eric P. Xing, Masahito Ueda
2021	J	`jnl`	Advanced NOMA Receivers From a Unified Variational Inference Perspective. IEEE J. Sel. Areas Commun. Xiangming Meng, Lei Zhang, Chao Wang, Lei Wang, Yiqun Wu, Yan Chen, Wenjin Wang
2021	A*	`conf`	Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis. NeurIPS Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2021	J	`jnl`	Ising Model Selection Using 𝓁 CoRR Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2021	J	`jnl`	On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs. CoRR Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2021	J	`jnl`	Unitary Approximate Message Passing for Sparse Bayesian Learning. IEEE Trans. Signal Process. Man Luo, Qinghua Guo, Ming Jin, Yonina C. Eldar, Defeng Huang, Xiangming Meng
2020	J	`jnl`	Structure Learning in Inverse Ising Problems Using 𝓁 CoRR Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2020	A*	`conf`	Training Binary Neural Networks using the Bayesian Learning Rule. ICML Xiangming Meng, Roman Bachmann, Mohammad Emtiyaz Khan
2020	J	`jnl`	Training Binary Neural Networks using the Bayesian Learning Rule. CoRR Xiangming Meng, Roman Bachmann, Mohammad Emtiyaz Khan
2020	J	`jnl`	Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule. CoRR Xiangming Meng
2020	J	`jnl`	Vector approximate message passing algorithm for compressed sensing with structured matrix perturbation. Signal Process. Jiang Zhu, Qi Zhang, Xiangming Meng, Zhiwei Xu
2019	J	`jnl`	An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm. IEEE Access Jiang Zhu, Lin Han, Xiangming Meng
2019	J	`jnl`	Bilinear Adaptive Generalized Vector Approximate Message Passing. IEEE Access Xiangming Meng, Jiang Zhu
2019	—	`conf`	Joint User Activity and Data Detection for NOMA via the Integrated Framework of Expectation Maximization and Expectation Propagation. SPAWC Lei Zhang, Xiangming Meng, Lei Wang, Yan Chen
2018	J	`jnl`	A Generalized Sparse Bayesian Learning Algorithm for 1-bit DOA Estimation. IEEE Commun. Lett. Xiangming Meng, Jiang Zhu
2018	J	`jnl`	A Unified Bayesian Inference Framework for Generalized Linear Models. IEEE Signal Process. Lett. Xiangming Meng, Sheng Wu, Jiang Zhu
2018	—	`conf`	A Universal Receiver for Uplink NOMA Systems. ICCC Workshops Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen
2018	J	`jnl`	A Universal Receiver for Uplink NOMA Systems. CoRR Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen
2018	J	`jnl`	Bilinear Adaptive Generalized Vector Approximate Message Passing. CoRR Xiangming Meng, Jiang Zhu
2018	J	`jnl`	Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing. CoRR Jiang Zhu, Lin Han, Xiangming Meng, Zhiwei Xu
2018	—	`conf`	Compressive Massive Random Access for Massive Machine-Type Communications (mMTC). GlobalSIP Malong Ke, Zhen Gao, Yongpeng Wu, Xiangming Meng
2018	J	`jnl`	Compressive Massive Random Access for Massive Machine-Type Communications (mMTC). CoRR Malong Ke, Zhen Gao, Yongpeng Wu, Xiangming Meng
2018	J	`jnl`	Off-grid Variational Bayesian Inference of Line Spectral Estimation from One-bit Samples. CoRR Jiang Zhu, Qi Zhang, Xiangming Meng
2018	—	`conf`	Turbo-Like Iterative Multi-User Receiver Design for 5G Non-Orthogonal Multiple Access. VTC Fall Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen
2018	J	`jnl`	Turbo-like Iterative Multi-user Receiver Design for 5G Non-orthogonal Multiple Access. CoRR Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen
2017	J	`jnl`	A Unified Bayesian Inference Framework for Generalized Linear Models. CoRR Xiangming Meng, Sheng Wu, Jiang Zhu
2017	J	`jnl`	Estimation of Sparse Massive MIMO-OFDM Channels With Approximately Common Support. IEEE Commun. Lett. Xincong Lin, Sheng Wu, Linling Kuang, Zuyao Ni, Xiangming Meng, Chunxiao Jiang
2017	B	`conf`	Low Complexity Receiver for Uplink SCMA System via Expectation Propagation. WCNC Xiangming Meng, Yiqun Wu, Yan Chen, Meng Cheng
2017	J	`jnl`	Low Complexity Receiver for Uplink SCMA System via Expectation Propagation. CoRR Xiangming Meng, Yiqun Wu, Yan Chen, Meng Cheng
2017	J	`jnl`	Spectral-Efficient Band Allocation Scheme for Frequency-Domain Pulse-Shaping-Based SC-FDMA Systems. IEEE Trans. Veh. Technol. Kun Wu, Guangliang Ren, Xiangming Meng, Jueying Wu, QiWei Wang
2016	J	`jnl`	Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning. CoRR Xiangming Meng, Sheng Wu, Linling Kuang, Defeng Huang, Jianhua Lu
2016	J	`jnl`	Block Expectation Propagation for Downlink Channel Estimation in Massive MIMO Systems. IEEE Commun. Lett. Sheng Wu, Zuyao Ni, Xiangming Meng, Linling Kuang
2016	J	`jnl`	Multi-User Detection for Spatial Modulation via Structured Approximate Message Passing. IEEE Commun. Lett. Xiangming Meng, Sheng Wu, Linling Kuang, Defeng Huang, Jianhua Lu
2015	J	`jnl`	An Expectation Propagation Perspective on Approximate Message Passing. IEEE Signal Process. Lett. Xiangming Meng, Sheng Wu, Linling Kuang, Jianhua Lu
2015	J	`jnl`	Concise Derivation of Complex Bayesian Approximate Message Passing via Expectation Propagation. CoRR Xiangming Meng, Sheng Wu, Linling Kuang, Jianhua Lu
2015	—	`conf`	Message Passing Approach to Regularized Zero-Forcing Precoding in Multibeam Satellite Systems. VTC Fall Xiangming Meng, Sheng Wu, Linling Kuang, Jianhua Lu
2015	—	`conf`	Novel Scheme of Orthogonal Convolutional Coding and Non-Iterative Decoding for Mobile Satellite Communication Systems. VTC Fall Xiangming Meng, Sheng Wu, Linling Kuang, Zuyao Ni, Jianhua Lu
2014	—	`conf`	Expectation Propagation Based Iterative Multi-User Detection for MIMO-IDMA Systems. VTC Spring Xiangming Meng, Sheng Wu, Linling Kuang, Zuyao Ni, Jianhua Lu