Yanning Shen

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 90

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

ACSSC

Publications

Oyku Deniz Kose, Yanning Shen
FairWire: Fair Graph Generation. CoRR (2024)
Pouya M. Ghari, Yanning Shen
Budgeted Online Model Selection and Fine-Tuning via Federated Learning. CoRR (2024)
Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar, Yanning Shen
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach. CoRR (2024)
Yezi Liu, Yanning Shen
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks. CoRR (2024)
Pouya M. Ghari, Yanning Shen
Online Learning With Uncertain Feedback Graphs. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Bowei Tian, Ruijie Du, Yanning Shen
FairViT: Fair Vision Transformer via Adaptive Masking. CoRR (2024)
Öykü Deniz Köse, Yanning Shen
FairGAT: Fairness-Aware Graph Attention Networks. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Pouya M. Ghari, Yanning Shen
Budgeted Online Model Selection and Fine-Tuning via Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
Öykü Deniz Köse, Yanning Shen
FairGAT: Fairness-Aware Graph Attention Networks. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos
Fairness-Aware Graph Filter Design. ACSSC (2023)
Momina Sajid, Yanning Shen, Yasser Shoukry
Model Extraction Attacks Against Reinforcement Learning Based Controllers. CDC (2023)
Pouya M. Ghari, Yanning Shen
Graph-Aided Online Multi-Kernel Learning. J. Mach. Learn. Res. 24 (2023)
Öykü Deniz Kose, Yanning Shen
FairGAT: Fairness-aware Graph Attention Networks. CoRR (2023)
Oyku Deniz Kose, Yanning Shen, Gonzalo Mateos
Fairness-aware Optimal Graph Filter Design. CoRR (2023)
Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros
Multiple Kernel Representation Learning on Networks. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Oyku Deniz Kose, Yanning Shen
Fast&Fair: Training Acceleration and Bias Mitigation for GNNs. Trans. Mach. Learn. Res. 2023 (2023)
Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos
Fairness-Aware Graph Filter Design. CoRR (2023)
Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. KDD (2023)
Pouya M. Ghari, Yanning Shen
Personalized Online Federated Learning with Multiple Kernels. CoRR (2023)
Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar
Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems. CDC (2023)
Öykü Deniz Köse, Yanning Shen
Fairness-Aware Dimensionality Reduction. EUSIPCO (2023)
Oyku Deniz Kose, Yanning Shen
Dynamic Fair Node Representation Learning. ICASSP (2023)
Momina Sajid, Yanning Shen, Yasser Shoukry
Model Extraction Attacks Against Reinforcement Learning Based Controllers. CoRR (2023)
Pouya M. Ghari, Yanning Shen
Personalized Online Federated Learning with Multiple Kernels. NeurIPS (2022)
Oyku Deniz Kose, Yanning Shen
Fairness-aware Adaptive Network Link Prediction. EUSIPCO (2022)
Pouya M. Ghari, Yanning Shen
Online Learning with Probabilistic Feedback. ICASSP (2022)
Öykü Deniz Köse, Yanning Shen
Fairness-aware Graph Attention Networks. IEEECONF (2022)
Pouya M. Ghari, Yanning Shen
Graph-Assisted Communication-Efficient Ensemble Federated Learning. CoRR (2022)
Oyku Deniz Kose, Yanning Shen
Fairness-Aware Selective Sampling on Attributed Graphs. ICASSP (2022)
Öykü Deniz Köse, Yanning Shen
FairNorm: Fair and Fast Graph Neural Network Training. CoRR (2022)
Ruijie Du, Yanning Shen
Fairness-aware User Classification in Power Grids. EUSIPCO (2022)
Pouya M. Ghari, Yanning Shen
Graph-Assisted Communication-Efficient Ensemble Federated Learning. EUSIPCO (2022)
Oyku Deniz Kose, Yanning Shen
Fair Contrastive Learning on Graphs. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar
Adaptive Control of Unknown Time Varying Dynamical Systems with Regret Guarantees. CoRR (2022)
Jiaxuan Xie, Yezi Liu, Yanning Shen
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. CoRR (2022)
Öykü Deniz Kose, Yanning Shen
Fair Node Representation Learning via Adaptive Data Augmentation. CoRR (2022)
Pouya M. Ghari, Yanning Shen
Online Learning with Uncertain Feedback Graphs. CoRR (2021)
Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros
Multiple Kernel Representation Learning on Networks. CoRR (2021)
Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR (2021)
Zixiao Zong, Yanning Shen
Online Multi-Hop Information Based Kernel Learning Over Graphs. ICASSP (2021)
Yanning Shen, Saeed Karimi-Bidhendi, Hamid Jafarkhani
Distributed and Quantized Online Multi-Kernel Learning. IEEE Trans. Signal Process. 69 (2021)
Öykü Deniz Köse, Yanning Shen
Fairness-Aware Node Representation Learning. CoRR (2021)
Pouya M. Ghari, Yanning Shen
Graph-Aided Online Multi-Kernel Learning. CoRR (2021)
Elena Ceci, Yanning Shen, Georgios B. Giannakis, Sergio Barbarossa
Graph-Based Learning Under Perturbations via Total Least-Squares. IEEE Trans. Signal Process. 68 (2020)
Pouya M. Ghari, Yanning Shen
Online Multi-Kernel Learning with Graph-Structured Feedback. ICML (2020)
Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos
Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Yanning Shen
Differentially Private Nonlinear Canonical Correlation Analysis. SAM (2020)
Pouya M. Ghari, Yanning Shen
Graph-aided Online Learning with Expert Advice. ACSSC (2020)
Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. AISTATS (2020)
Yanning Shen, Geert Leus
Scalable Learning with Privacy Over Graphs. DSW (2019)
Seth Barrash, Yanning Shen, Georgios B. Giannakis
Scalable and Adaptive KNN for Regression Over Graphs. CAMSAP (2019)
Yanning Shen, Georgios B. Giannakis, Brian Baingana
Nonlinear Structural Vector Autoregressive Models With Application to Directed Brain Networks. IEEE Trans. Signal Process. 67 (20) (2019)
Yanning Shen, Geert Leus, Georgios B. Giannakis
Online Graph-Adaptive Learning With Scalability and Privacy. IEEE Trans. Signal Process. 67 (9) (2019)
Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
Semi-Blind Inference of Topologies and Dynamical Processes Over Dynamic Graphs. IEEE Trans. Signal Process. 67 (9) (2019)
Yanning Shen, Tianyi Chen, Georgios B. Giannakis
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics. J. Mach. Learn. Res. 20 (2019)
Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis
Canonical Correlation Analysis of Datasets With a Common Source Graph. IEEE Trans. Signal Process. 66 (16) (2018)
Yanning Shen, Tianyi Chen, Georgios B. Giannakis
Online Learning Adaptive to Dynamic and Adversarial Environments. SPAWC (2018)
Elena Ceci, Yanning Shen, Georgios B. Giannakis, Sergio Barbarossa
Signal and Graph Perturbations via Total Least-Squares. ACSSC (2018)
Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC (2018)
Georgios B. Giannakis, Yanning Shen, Georgios Vasileios Karanikolas
Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics. Proc. IEEE 106 (5) (2018)
Yanning Shen, Tianyi Chen, Georgios B. Giannakis
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. AISTATS (2018)
Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis
Canonical Correlation Analysis of Datasets with a Common Source Graph. CoRR (2018)
Yanning Shen, Geert Leus, Georgios B. Giannakis
Online Graph-Adaptive Learning with Scalability and Privacy. CoRR (2018)
Yanning Shen, Georgios B. Giannakis
Online Identification of Directional Graph Topologies Capturing Dynamic and Nonlinear Dependencies. DSW (2018)
Yanning Shen, Tianyi Chen, Georgios B. Giannakis
Online Multi-Kernel Learning with Orthogonal Random Features. ICASSP (2018)
Tianyi Chen, Qing Ling, Yanning Shen, Georgios B. Giannakis
Heterogeneous Online Learning for "Thing-Adaptive" Fog Computing in IoT. IEEE Internet Things J. 5 (6) (2018)
Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
Semi-Blind Inference of Topologies and Signals over Graphs. DSW (2018)
Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
Nonlinear Dimensionality Reduction on Graphs. CoRR (2018)
Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis
Canonical Correlation Analysis with Common Graph Priors. SSP (2018)
Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs. CoRR (2018)
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Topology inference of directed graphs using nonlinear structural vector autoregressive models. ICASSP (2017)
Yanning Shen, Tianyi Chen, Georgios B. Giannakis
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. CoRR (2017)
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks. IEEE Trans. Signal Process. 65 (10) (2017)
Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos
Directed network topology inference via sparse joint diagonalization. ACSSC (2017)
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks. IEEE Trans. Signal Process. 65 (14) (2017)
Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
Network topology inference via elastic net structural equation models. EUSIPCO (2017)
Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
Topology inference of multilayer networks. INFOCOM Workshops (2017)
Tianyi Chen, Yanning Shen, Qing Ling, Georgios B. Giannakis
Online learning for "thing-adaptive" Fog Computing in IoT. ACSSC (2017)
Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
Nonlinear dimensionality reduction on graphs. CAMSAP (2017)
Yanning Shen, Morteza Mardani, Georgios B. Giannakis
Online Categorical Subspace Learning for Sketching Big Data with Misses. IEEE Trans. Signal Process. 65 (15) (2017)
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Inferring directed network topologies via tensor factorization. ACSSC (2016)
Jun Fang, Yanning Shen, Linxiao Yang, Hongbin Li
Adaptive one-bit quantization for compressed sensing. Signal Process. 125 (2016)
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Tracking dynamic piecewise-constant network topologies via adaptive tensor factorization. GlobalSIP (2016)
Jun Fang, Feiyu Wang, Yanning Shen, Hongbin Li, Rick S. Blum
Super-Resolution Compressed Sensing for Line Spectral Estimation: An Iterative Reweighted Approach. IEEE Trans. Signal Process. 64 (18) (2016)
Yanning Shen, Georgios B. Giannakis
Online dictionary learning from large-scale binary data. EUSIPCO (2016)
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Nonlinear structural equation models for network topology inference. CISS (2016)
Yanning Shen, Morteza Mardani, Georgios B. Giannakis
Online sketching of big categorical data with absent features. CISS (2015)
Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li, Zhi Chen
Support knowledge-aided sparse Bayesian learning for compressed sensing. ICASSP (2015)
Jun Fang, Yanning Shen, Hongbin Li, Pu Wang
Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals. IEEE Trans. Signal Process. 63 (2) (2015)
Jun Fang, Jing Li, Yanning Shen, Hongbin Li, Shaoqian Li
Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery. IEEE Signal Process. Lett. 21 (6) (2014)
Yanning Shen, Huiping Duan, Jun Fang, Hongbin Li
Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals. ICASSP (2014)
Jun Fang, Jing Li, Yanning Shen, Hongbin Li, Shaoqian Li
Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery. CoRR (2014)
Jun Fang, Yanning Shen, Hongbin Li
Pattern coupled sparse Bayesian learning for recovery of time varying sparse signals. DSP (2014)
Jun Fang, Yanning Shen, Hongbin Li, Zhi Ren
Sparse signal recovery from one-bit quantized data: An iterative reweighted algorithm. Signal Process. 102 (2014)
Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li
Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information. CoRR (2014)
Yanning Shen, Jun Fang, Hongbin Li
One-bit compressive sensing and source localization in wireless sensor networks. ChinaSIP (2013)
Yanning Shen, Jun Fang, Hongbin Li, Zhi Chen
A one-bit reweighted iterative algorithm for sparse signal recovery. ICASSP (2013)
Jun Fang, Yanning Shen, Huiping Duan, Hongbin Li
One-Bit Quantization Design and Adaptive Methods for Compressed Sensing CoRR (2013)
Yanning Shen, Jun Fang, Hongbin Li
Exact Reconstruction Analysis of Log-Sum Minimization for Compressed Sensing. IEEE Signal Process. Lett. 20 (12) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yanning Shen