Yanning Shen - RankMe

138 papers A* 10A 4Misc 17Journal 80Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. AAAI Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen
2026	A	`conf`	Debias Once for All: A Data-Centric Strategy for Fair Machine Learning. WSDM Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani
2026	J	`jnl`	Deploying AI for Signal Processing Education: Selected challenges and intriguing opportunities [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]. IEEE Signal Process. Mag. Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akçakaya, Georgios B. Giannakis
2026	J	`jnl`	Enhanced Multi-model Online Conformal Prediction. CoRR Erfan Hajihashemi, Yanning Shen
2025	J	`jnl`	Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions. CoRR Chenrui Ma, Xi Xiao, Tianyang Wang, Yanning Shen
2025	—	`conf`	Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation. WWW (Companion Volume) Yezi Liu, Yanning Shen
2025	J	`jnl`	CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. CoRR Chenrui Ma, Rongchang Zhao, Xi Xiao, Hongyang Xie, Tianyang Wang, Xiao Wang, Hao Zhang, Yanning Shen
2025	A*	`conf`	DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. IJCAI Yezi Liu, Jiaxuan Xie, Yanning Shen
2025	J	`jnl`	Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities. CoRR Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akçakaya, Georgios B. Giannakis
2025	J	`jnl`	EGGS-PTP: An Expander-Graph Guided Structured Post-training Pruning Method for Large Language Models. CoRR Omar Bazarbachi, Zijun Sun, Yanning Shen
2025	A	`conf`	Enabling Group Fairness in Machine Unlearning via Distribution Correction. CIKM Yezi Liu, Yanning Shen
2025	—	`conf`	Enhanced Multi-model Online Conformal Prediction. IEEECONF Erfan Hajihashemi, Yanning Shen
2025	A*	`conf`	FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge. SP Tianyu Zhang, Shen Dong, Oyku Deniz Kose, Yanning Shen, Yupeng Zhang
2025	J	`jnl`	FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge. CoRR Tianyu Zhang, Shen Dong, O. Deniz Kose, Yanning Shen, Yupeng Zhang
2025	J	`jnl`	Gradient Inversion Attack on Graph Neural Networks. Trans. Mach. Learn. Res. Divya Anand Sinha, Yezi Liu, Ruijie Du, Athina Markopoulou, Yanning Shen
2025	J	`jnl`	Graph-Structured Feedback Multimodel Ensemble Online Conformal Prediction. CoRR Erfan Hajihashemi, Yanning Shen
2025	J	`jnl`	Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models. CoRR Jipeng Li, Yanning Shen
2025	J	`jnl`	Learn to Explore: Meta NAS via Bayesian Optimization Guided Graph Generation. CoRR Zijun Sun, Yanning Shen
2025	J	`jnl`	Learning Straight Flows: Variational Flow Matching for Efficient Generation. CoRR Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen
2025	J	`jnl`	Long-Term Fairness for Real-Time Decision Making: A Constrained Online Optimization Approach. IEEE Trans. Neural Networks Learn. Syst. Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar, Yanning Shen
2025	J	`jnl`	Multi-model Online Conformal Prediction with Graph-Structured Feedback. Trans. Mach. Learn. Res. Erfan Hajihashemi, Yanning Shen
2025	J	`jnl`	Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes. CoRR Ruijie Du, Ruoyu Lin, Yanning Shen, Magnus Egerstedt
2025	J	`jnl`	Stochastic Interpolants via Conditional Dependent Coupling. CoRR Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen
2025	J	`jnl`	Topology Identification and Inference over Graphs. CoRR Gonzalo Mateos, Yanning Shen, Georgios B. Giannakis, Ananthram Swami
2025	J	`jnl`	Unlearning Algorithmic Biases over Graphs. CoRR Öykü Deniz Köse, Gonzalo Mateos, Yanning Shen
2024	J	`jnl`	Budgeted Online Model Selection and Fine-Tuning via Federated Learning. CoRR Pouya M. Ghari, Yanning Shen
2024	J	`jnl`	Budgeted Online Model Selection and Fine-Tuning via Federated Learning. Trans. Mach. Learn. Res. Pouya M. Ghari, Yanning Shen
2024	J	`jnl`	Demystifying and Mitigating Bias for Node Representation Learning. IEEE Trans. Neural Networks Learn. Syst. Oyku Deniz Kose, Yanning Shen
2024	A*	`conf`	FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning. NeurIPS Lisha Chen, A. F. M. Saif, Yanning Shen, Tianyi Chen
2024	J	`jnl`	FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning. CoRR Lisha Chen, A. F. M. Saif, Yanning Shen, Tianyi Chen
2024	J	`jnl`	FairGAT: Fairness-Aware Graph Attention Networks. ACM Trans. Knowl. Discov. Data Öykü Deniz Köse, Yanning Shen
2024	—	`conf`	FairViT: Fair Vision Transformer via Adaptive Masking. ECCV (65) Bowei Tian, Ruijie Du, Yanning Shen
2024	J	`jnl`	FairViT: Fair Vision Transformer via Adaptive Masking. CoRR Bowei Tian, Ruijie Du, Yanning Shen
2024	A*	`conf`	FairWire: Fair Graph Generation. NeurIPS Oyku Deniz Kose, Yanning Shen
2024	J	`jnl`	FairWire: Fair Graph Generation. CoRR Oyku Deniz Kose, Yanning Shen
2024	—	`conf`	Filtering as Rewiring for Bias Mitigation on Graphs. SAM Oyku Deniz Kose, Gonzalo Mateos, Yanning Shen
2024	J	`jnl`	Gradient Inversion Attack on Graph Neural Networks. CoRR Divya Anand Sinha, Yezi Liu, Ruijie Du, Yanning Shen
2024	J	`jnl`	Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach. CoRR Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar, Yanning Shen
2024	A*	`conf`	Multi-model Ensemble Conformal Prediction in Dynamic Environments. NeurIPS Erfan Hajihashemi, Yanning Shen
2024	J	`jnl`	Multi-model Ensemble Conformal Prediction in Dynamic Environments. CoRR Erfan Hajihashemi, Yanning Shen
2024	J	`jnl`	Online Learning With Uncertain Feedback Graphs. IEEE Trans. Neural Networks Learn. Syst. Pouya M. Ghari, Yanning Shen
2024	J	`jnl`	Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
2024	A*	`conf`	Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning. NeurIPS Pouya M. Ghari, Yanning Shen
2024	J	`jnl`	Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning. CoRR Pouya M. Ghari, Yanning Shen
2024	—	`conf`	TinyData: Joint Dataset Condensation with Dimensionality Reduction. EUSIPCO Yezi Liu, Yanning Shen
2024	J	`jnl`	TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks. CoRR Yezi Liu, Yanning Shen
2023	—	`conf`	Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems. CDC Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar
2023	Misc	`conf`	Dynamic Fair Node Representation Learning. ICASSP Oyku Deniz Kose, Yanning Shen
2023	J	`jnl`	FairGAT: Fairness-aware Graph Attention Networks. CoRR Öykü Deniz Köse, Yanning Shen
2023	A*	`conf`	Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. KDD Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
2023	—	`conf`	Fairness-Aware Dimensionality Reduction. EUSIPCO Öykü Deniz Köse, Yanning Shen
2023	Misc	`conf`	Fairness-Aware Graph Filter Design. ACSSC Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos
2023	J	`jnl`	Fairness-Aware Graph Filter Design. CoRR Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos
2023	J	`jnl`	Fairness-aware Optimal Graph Filter Design. CoRR Oyku Deniz Kose, Yanning Shen, Gonzalo Mateos
2023	J	`jnl`	Fast&Fair: Training Acceleration and Bias Mitigation for GNNs. Trans. Mach. Learn. Res. Oyku Deniz Kose, Yanning Shen
2023	J	`jnl`	Graph-Aided Online Multi-Kernel Learning. J. Mach. Learn. Res. Pouya M. Ghari, Yanning Shen
2023	—	`conf`	Model Extraction Attacks Against Reinforcement Learning Based Controllers. CDC Momina Sajid, Yanning Shen, Yasser Shoukry
2023	J	`jnl`	Model Extraction Attacks Against Reinforcement Learning Based Controllers. CoRR Momina Sajid, Yanning Shen, Yasser Shoukry
2023	J	`jnl`	Multiple Kernel Representation Learning on Networks. IEEE Trans. Knowl. Data Eng. Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros
2023	J	`jnl`	Personalized Online Federated Learning with Multiple Kernels. CoRR Pouya M. Ghari, Yanning Shen
2022	J	`jnl`	Adaptive Control of Unknown Time Varying Dynamical Systems with Regret Guarantees. CoRR Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar
2022	J	`jnl`	Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. CoRR Jiaxuan Xie, Yezi Liu, Yanning Shen
2022	J	`jnl`	Fair Contrastive Learning on Graphs. IEEE Trans. Signal Inf. Process. over Networks Oyku Deniz Kose, Yanning Shen
2022	J	`jnl`	Fair Node Representation Learning via Adaptive Data Augmentation. CoRR Öykü Deniz Köse, Yanning Shen
2022	J	`jnl`	FairNorm: Fair and Fast Graph Neural Network Training. CoRR Öykü Deniz Köse, Yanning Shen
2022	Misc	`conf`	Fairness-Aware Selective Sampling on Attributed Graphs. ICASSP Oyku Deniz Kose, Yanning Shen
2022	—	`conf`	Fairness-aware Adaptive Network Link Prediction. EUSIPCO Oyku Deniz Kose, Yanning Shen
2022	—	`conf`	Fairness-aware Graph Attention Networks. IEEECONF Öykü Deniz Köse, Yanning Shen
2022	—	`conf`	Fairness-aware User Classification in Power Grids. EUSIPCO Ruijie Du, Yanning Shen
2022	—	`conf`	Graph-Assisted Communication-Efficient Ensemble Federated Learning. EUSIPCO Pouya M. Ghari, Yanning Shen
2022	J	`jnl`	Graph-Assisted Communication-Efficient Ensemble Federated Learning. CoRR Pouya M. Ghari, Yanning Shen
2022	Misc	`conf`	Online Learning with Probabilistic Feedback. ICASSP Pouya M. Ghari, Yanning Shen
2022	A*	`conf`	Personalized Online Federated Learning with Multiple Kernels. NeurIPS Pouya M. Ghari, Yanning Shen
2021	J	`jnl`	Distributed and Quantized Online Multi-Kernel Learning. IEEE Trans. Signal Process. Yanning Shen, Saeed Karimi-Bidhendi, Hamid Jafarkhani
2021	J	`jnl`	Fairness-Aware Node Representation Learning. CoRR Öykü Deniz Köse, Yanning Shen
2021	J	`jnl`	Graph-Aided Online Multi-Kernel Learning. CoRR Pouya M. Ghari, Yanning Shen
2021	J	`jnl`	Multiple Kernel Representation Learning on Networks. CoRR Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros
2021	J	`jnl`	Online Learning with Uncertain Feedback Graphs. CoRR Pouya M. Ghari, Yanning Shen
2021	J	`jnl`	Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
2021	Misc	`conf`	Online Multi-Hop Information Based Kernel Learning Over Graphs. ICASSP Zixiao Zong, Yanning Shen
2020	—	`conf`	Differentially Private Nonlinear Canonical Correlation Analysis. SAM Yanning Shen
2020	A	`conf`	Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. AISTATS Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis
2020	J	`jnl`	Graph-Based Learning Under Perturbations via Total Least-Squares. IEEE Trans. Signal Process. Elena Ceci, Yanning Shen, Georgios B. Giannakis, Sergio Barbarossa
2020	Misc	`conf`	Graph-aided Online Learning with Expert Advice. ACSSC Pouya M. Ghari, Yanning Shen
2020	A*	`conf`	Online Multi-Kernel Learning with Graph-Structured Feedback. ICML Pouya M. Ghari, Yanning Shen
2020	J	`jnl`	Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices. IEEE Trans. Signal Inf. Process. over Networks Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2019	J	`jnl`	Nonlinear Structural Vector Autoregressive Models With Application to Directed Brain Networks. IEEE Trans. Signal Process. Yanning Shen, Georgios B. Giannakis, Brian Baingana
2019	J	`jnl`	Online Graph-Adaptive Learning With Scalability and Privacy. IEEE Trans. Signal Process. Yanning Shen, Geert Leus, Georgios B. Giannakis
2019	J	`jnl`	Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics. J. Mach. Learn. Res. Yanning Shen, Tianyi Chen, Georgios B. Giannakis
2019	—	`conf`	Scalable Learning with Privacy Over Graphs. DSW Yanning Shen, Geert Leus
2019	—	`conf`	Scalable and Adaptive KNN for Regression Over Graphs. CAMSAP Seth Barrash, Yanning Shen, Georgios B. Giannakis
2019	J	`jnl`	Semi-Blind Inference of Topologies and Dynamical Processes Over Dynamic Graphs. IEEE Trans. Signal Process. Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
2018	J	`jnl`	Canonical Correlation Analysis of Datasets With a Common Source Graph. IEEE Trans. Signal Process. Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis
2018	J	`jnl`	Canonical Correlation Analysis of Datasets with a Common Source Graph. CoRR Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis
2018	—	`conf`	Canonical Correlation Analysis with Common Graph Priors. SSP Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis
2018	J	`jnl`	Heterogeneous Online Learning for "Thing-Adaptive" Fog Computing in IoT. IEEE Internet Things J. Tianyi Chen, Qing Ling, Yanning Shen, Georgios B. Giannakis
2018	—	`conf`	Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
2018	J	`jnl`	Nonlinear Dimensionality Reduction on Graphs. CoRR Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
2018	A	`conf`	Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. AISTATS Yanning Shen, Tianyi Chen, Georgios B. Giannakis
2018	J	`jnl`	Online Graph-Adaptive Learning with Scalability and Privacy. CoRR Yanning Shen, Geert Leus, Georgios B. Giannakis
2018	—	`conf`	Online Identification of Directional Graph Topologies Capturing Dynamic and Nonlinear Dependencies. DSW Yanning Shen, Georgios B. Giannakis
2018	—	`conf`	Online Learning Adaptive to Dynamic and Adversarial Environments. SPAWC Yanning Shen, Tianyi Chen, Georgios B. Giannakis
2018	Misc	`conf`	Online Multi-Kernel Learning with Orthogonal Random Features. ICASSP Yanning Shen, Tianyi Chen, Georgios B. Giannakis
2018	J	`jnl`	Semi-Blind Inference of Topologies and Dynamical Processes over Graphs. CoRR Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
2018	—	`conf`	Semi-Blind Inference of Topologies and Signals over Graphs. DSW Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
2018	Misc	`conf`	Signal and Graph Perturbations via Total Least-Squares. ACSSC Elena Ceci, Yanning Shen, Georgios B. Giannakis, Sergio Barbarossa
2018	J	`jnl`	Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics. Proc. IEEE Georgios B. Giannakis, Yanning Shen, Georgios Vasileios Karanikolas
2017	Misc	`conf`	Directed network topology inference via sparse joint diagonalization. ACSSC Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2017	J	`jnl`	Kernel-Based Structural Equation Models for Topology Identification of Directed Networks. IEEE Trans. Signal Process. Yanning Shen, Brian Baingana, Georgios B. Giannakis
2017	—	`conf`	Network topology inference via elastic net structural equation models. EUSIPCO Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
2017	—	`conf`	Nonlinear dimensionality reduction on graphs. CAMSAP Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
2017	J	`jnl`	Online Categorical Subspace Learning for Sketching Big Data with Misses. IEEE Trans. Signal Process. Yanning Shen, Morteza Mardani, Georgios B. Giannakis
2017	J	`jnl`	Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. CoRR Yanning Shen, Tianyi Chen, Georgios B. Giannakis
2017	Misc	`conf`	Online learning for "thing-adaptive" Fog Computing in IoT. ACSSC Tianyi Chen, Yanning Shen, Qing Ling, Georgios B. Giannakis
2017	J	`jnl`	Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks. IEEE Trans. Signal Process. Yanning Shen, Brian Baingana, Georgios B. Giannakis
2017	Misc	`conf`	Topology inference of directed graphs using nonlinear structural vector autoregressive models. ICASSP Yanning Shen, Brian Baingana, Georgios B. Giannakis
2017	—	`conf`	Topology inference of multilayer networks. INFOCOM Workshops Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
2016	J	`jnl`	Adaptive one-bit quantization for compressed sensing. Signal Process. Jun Fang, Yanning Shen, Linxiao Yang, Hongbin Li
2016	Misc	`conf`	Inferring directed network topologies via tensor factorization. ACSSC Yanning Shen, Brian Baingana, Georgios B. Giannakis
2016	Misc	`conf`	Nonlinear structural equation models for network topology inference. CISS Yanning Shen, Brian Baingana, Georgios B. Giannakis
2016	—	`conf`	Online dictionary learning from large-scale binary data. EUSIPCO Yanning Shen, Georgios B. Giannakis
2016	J	`jnl`	Super-Resolution Compressed Sensing for Line Spectral Estimation: An Iterative Reweighted Approach. IEEE Trans. Signal Process. Jun Fang, Feiyu Wang, Yanning Shen, Hongbin Li, Rick S. Blum
2016	—	`conf`	Tracking dynamic piecewise-constant network topologies via adaptive tensor factorization. GlobalSIP Yanning Shen, Brian Baingana, Georgios B. Giannakis
2015	Misc	`conf`	Online sketching of big categorical data with absent features. CISS Yanning Shen, Morteza Mardani, Georgios B. Giannakis
2015	J	`jnl`	Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals. IEEE Trans. Signal Process. Jun Fang, Yanning Shen, Hongbin Li, Pu Wang
2015	Misc	`conf`	Support knowledge-aided sparse Bayesian learning for compressed sensing. ICASSP Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li, Zhi Chen
2014	—	`conf`	Pattern coupled sparse Bayesian learning for recovery of time varying sparse signals. DSP Jun Fang, Yanning Shen, Hongbin Li
2014	Misc	`conf`	Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals. ICASSP Yanning Shen, Huiping Duan, Jun Fang, Hongbin Li
2014	J	`jnl`	Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information. CoRR Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li
2014	J	`jnl`	Sparse signal recovery from one-bit quantized data: An iterative reweighted algorithm. Signal Process. Jun Fang, Yanning Shen, Hongbin Li, Zhi Ren
2014	J	`jnl`	Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery. CoRR Jun Fang, Jing Li, Yanning Shen, Hongbin Li, Shaoqian Li
2014	J	`jnl`	Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery. IEEE Signal Process. Lett. Jun Fang, Jing Li, Yanning Shen, Hongbin Li, Shaoqian Li
2013	Misc	`conf`	A one-bit reweighted iterative algorithm for sparse signal recovery. ICASSP Yanning Shen, Jun Fang, Hongbin Li, Zhi Chen
2013	J	`jnl`	Exact Reconstruction Analysis of Log-Sum Minimization for Compressed Sensing. IEEE Signal Process. Lett. Yanning Shen, Jun Fang, Hongbin Li
2013	J	`jnl`	One-Bit Quantization Design and Adaptive Methods for Compressed Sensing CoRR Jun Fang, Yanning Shen, Huiping Duan, Hongbin Li
2013	—	`conf`	One-bit compressive sensing and source localization in wireless sensor networks. ChinaSIP Yanning Shen, Jun Fang, Hongbin Li
2013	J	`jnl`	Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals. CoRR Jun Fang, Yanning Shen, Hongbin Li, Pu Wang
2012	J	`jnl`	A Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements CoRR Jun Fang, Yanning Shen, Hongbin Li