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2020 – today
- 2024
[j28]Öykü Deniz Köse
, Yanning Shen:
FairGAT: Fairness-Aware Graph Attention Networks. ACM Trans. Knowl. Discov. Data 18(7): 164 (2024)- [j27]Pouya M. Ghari, Yanning Shen:
Budgeted Online Model Selection and Fine-Tuning via Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j26]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): 4768-4782 (2024) - [j25]Pouya M. Ghari, Yanning Shen:
Online Learning With Uncertain Feedback Graphs. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9636-9650 (2024) - [j24]Oyku Deniz Kose, Yanning Shen:
Demystifying and Mitigating Bias for Node Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12899-12912 (2024) - [c47]Bowei Tian, Ruijie Du, Yanning Shen:
FairViT: Fair Vision Transformer via Adaptive Masking. ECCV (65) 2024: 451-466 - [c46]Yezi Liu, Yanning Shen:
TinyData: Joint Dataset Condensation with Dimensionality Reduction. EUSIPCO 2024: 2037-2041 - [c45]Oyku Deniz Kose, Gonzalo Mateos, Yanning Shen:
Filtering as Rewiring for Bias Mitigation on Graphs. SAM 2024: 1-5 - [i34]Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar, Yanning Shen:
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach. CoRR abs/2401.02552 (2024) - [i33]Pouya M. Ghari, Yanning Shen:
Budgeted Online Model Selection and Fine-Tuning via Federated Learning. CoRR abs/2401.10478 (2024) - [i32]Oyku Deniz Kose, Yanning Shen:
FairWire: Fair Graph Generation. CoRR abs/2402.04383 (2024) - [i31]Yezi Liu, Yanning Shen:
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks. CoRR abs/2407.08064 (2024) - [i30]Bowei Tian, Ruijie Du, Yanning Shen:
FairViT: Fair Vision Transformer via Adaptive Masking. CoRR abs/2407.14799 (2024) - [i29]Pouya M. Ghari, Yanning Shen:
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning. CoRR abs/2410.21547 (2024) - [i28]Erfan Hajihashemi, Yanning Shen:
Multi-model Ensemble Conformal Prediction in Dynamic Environments. CoRR abs/2411.03678 (2024) - [i27]Divya Anand Sinha, Yezi Liu, Ruijie Du, Yanning Shen:
Gradient Inversion Attack on Graph Neural Networks. CoRR abs/2411.19440 (2024) - [i26]Lisha Chen, AFM Saif, Yanning Shen, Tianyi Chen:
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning. CoRR abs/2412.01773 (2024) - 2023
- [j23]Pouya M. Ghari, Yanning Shen:
Graph-Aided Online Multi-Kernel Learning. J. Mach. Learn. Res. 24: 21:1-21:44 (2023) - [j22]Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros:
Multiple Kernel Representation Learning on Networks. IEEE Trans. Knowl. Data Eng. 35(6): 6113-6125 (2023) - [j21]Oyku Deniz Kose, Yanning Shen:
Fast&Fair: Training Acceleration and Bias Mitigation for GNNs. Trans. Mach. Learn. Res. 2023 (2023) - [c44]Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos:
Fairness-Aware Graph Filter Design. ACSSC 2023: 330-334 - [c43]Momina Sajid, Yanning Shen, Yasser Shoukry:
Model Extraction Attacks Against Reinforcement Learning Based Controllers. CDC 2023: 813-820 - [c42]Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar:
Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems. CDC 2023: 5039-5046 - [c41]Öykü Deniz Köse, Yanning Shen:
Fairness-Aware Dimensionality Reduction. EUSIPCO 2023: 660-664 - [c40]Oyku Deniz Kose, Yanning Shen:
Dynamic Fair Node Representation Learning. ICASSP 2023: 1-5 - [c39]Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li:
Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. KDD 2023: 5794-5795 - [i25]Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos:
Fairness-Aware Graph Filter Design. CoRR abs/2303.11459 (2023) - [i24]Öykü Deniz Köse, Yanning Shen:
FairGAT: Fairness-aware Graph Attention Networks. CoRR abs/2303.14591 (2023) - [i23]Momina Sajid, Yanning Shen, Yasser Shoukry:
Model Extraction Attacks Against Reinforcement Learning Based Controllers. CoRR abs/2304.13090 (2023) - [i22]Oyku Deniz Kose, Yanning Shen, Gonzalo Mateos:
Fairness-aware Optimal Graph Filter Design. CoRR abs/2310.14432 (2023) - [i21]Pouya M. Ghari, Yanning Shen:
Personalized Online Federated Learning with Multiple Kernels. CoRR abs/2311.05108 (2023) - 2022
- [j20]Oyku Deniz Kose, Yanning Shen:
Fair Contrastive Learning on Graphs. IEEE Trans. Signal Inf. Process. over Networks 8: 475-488 (2022) - [c38]Öykü Deniz Köse, Yanning Shen:
Fairness-aware Graph Attention Networks. IEEECONF 2022: 843-846 - [c37]Oyku Deniz Kose, Yanning Shen:
Fairness-aware Adaptive Network Link Prediction. EUSIPCO 2022: 677-681 - [c36]Pouya M. Ghari, Yanning Shen:
Graph-Assisted Communication-Efficient Ensemble Federated Learning. EUSIPCO 2022: 737-741 - [c35]Ruijie Du, Yanning Shen:
Fairness-aware User Classification in Power Grids. EUSIPCO 2022: 1671-1675 - [c34]Pouya M. Ghari, Yanning Shen:
Online Learning with Probabilistic Feedback. ICASSP 2022: 4183-4187 - [c33]Oyku Deniz Kose, Yanning Shen:
Fairness-Aware Selective Sampling on Attributed Graphs. ICASSP 2022: 5682-5686 - [c32]Pouya M. Ghari, Yanning Shen:
Personalized Online Federated Learning with Multiple Kernels. NeurIPS 2022 - [i20]Öykü Deniz Köse, Yanning Shen:
Fair Node Representation Learning via Adaptive Data Augmentation. CoRR abs/2201.08549 (2022) - [i19]Pouya M. Ghari, Yanning Shen:
Graph-Assisted Communication-Efficient Ensemble Federated Learning. CoRR abs/2202.13447 (2022) - [i18]Öykü Deniz Köse, Yanning Shen:
FairNorm: Fair and Fast Graph Neural Network Training. CoRR abs/2205.09977 (2022) - [i17]Jiaxuan Xie, Yezi Liu, Yanning Shen:
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. CoRR abs/2207.11175 (2022) - [i16]Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar:
Adaptive Control of Unknown Time Varying Dynamical Systems with Regret Guarantees. CoRR abs/2210.11684 (2022) - 2021
- [j19]Yanning Shen, Saeed Karimi-Bidhendi, Hamid Jafarkhani:
Distributed and Quantized Online Multi-Kernel Learning. IEEE Trans. Signal Process. 69: 5496-5511 (2021) - [c31]Zixiao Zong, Yanning Shen:
Online Multi-Hop Information Based Kernel Learning Over Graphs. ICASSP 2021: 2980-2984 - [i15]Pouya M. Ghari, Yanning Shen:
Graph-Aided Online Multi-Kernel Learning. CoRR abs/2102.04690 (2021) - [i14]Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros:
Multiple Kernel Representation Learning on Networks. CoRR abs/2106.05057 (2021) - [i13]Öykü Deniz Köse, Yanning Shen:
Fairness-Aware Node Representation Learning. CoRR abs/2106.05391 (2021) - [i12]Pouya M. Ghari, Yanning Shen:
Online Learning with Uncertain Feedback Graphs. CoRR abs/2106.08441 (2021) - [i11]Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR abs/2107.00894 (2021) - 2020
- [j18]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: 271-283 (2020) - [j17]Elena Ceci, Yanning Shen, Georgios B. Giannakis, Sergio Barbarossa:
Graph-Based Learning Under Perturbations via Total Least-Squares. IEEE Trans. Signal Process. 68: 2870-2882 (2020) - [c30]Pouya M. Ghari, Yanning Shen:
Graph-aided Online Learning with Expert Advice. ACSSC 2020: 470-474 - [c29]Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis:
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. AISTATS 2020: 1910-1920 - [c28]Pouya M. Ghari, Yanning Shen:
Online Multi-Kernel Learning with Graph-Structured Feedback. ICML 2020: 3474-3483 - [c27]Yanning Shen:
Differentially Private Nonlinear Canonical Correlation Analysis. SAM 2020: 1-5
2010 – 2019
- 2019
- [j16]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics. J. Mach. Learn. Res. 20: 22:1-22:36 (2019) - [j15]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): 2263-2274 (2019) - [j14]Yanning Shen, Geert Leus, Georgios B. Giannakis:
Online Graph-Adaptive Learning With Scalability and Privacy. IEEE Trans. Signal Process. 67(9): 2471-2483 (2019) - [j13]Yanning Shen, Georgios B. Giannakis, Brian Baingana:
Nonlinear Structural Vector Autoregressive Models With Application to Directed Brain Networks. IEEE Trans. Signal Process. 67(20): 5325-5339 (2019) - [c26]Seth Barrash, Yanning Shen, Georgios B. Giannakis:
Scalable and Adaptive KNN for Regression Over Graphs. CAMSAP 2019: 241-245 - [c25]Yanning Shen, Geert Leus:
Scalable Learning with Privacy Over Graphs. DSW 2019: 83-87 - 2018
- [j12]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): 4328-4341 (2018) - [j11]Georgios B. Giannakis, Yanning Shen, Georgios Vasileios Karanikolas:
Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics. Proc. IEEE 106(5): 787-807 (2018) - [j10]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): 4398-4408 (2018) - [c24]Elena Ceci, Yanning Shen, Georgios B. Giannakis, Sergio Barbarossa:
Signal and Graph Perturbations via Total Least-Squares. ACSSC 2018: 747-751 - [c23]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. AISTATS 2018: 2037-2046 - [c22]Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis:
Semi-Blind Inference of Topologies and Signals over Graphs. DSW 2018: 165-169 - [c21]Yanning Shen, Georgios B. Giannakis:
Online Identification of Directional Graph Topologies Capturing Dynamic and Nonlinear Dependencies. DSW 2018: 195-199 - [c20]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Multi-Kernel Learning with Orthogonal Random Features. ICASSP 2018: 6289-6293 - [c19]Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis:
Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC 2018: 1-5 - [c18]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Learning Adaptive to Dynamic and Adversarial Environments. SPAWC 2018: 1-5 - [c17]Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis:
Canonical Correlation Analysis with Common Graph Priors. SSP 2018: 488-492 - [i10]Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis:
Nonlinear Dimensionality Reduction on Graphs. CoRR abs/1801.09390 (2018) - [i9]Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis:
Canonical Correlation Analysis of Datasets with a Common Source Graph. CoRR abs/1803.10309 (2018) - [i8]Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis:
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs. CoRR abs/1805.06095 (2018) - [i7]Yanning Shen, Geert Leus, Georgios B. Giannakis:
Online Graph-Adaptive Learning with Scalability and Privacy. CoRR abs/1812.00974 (2018) - 2017
- [j9]Yanning Shen, Brian Baingana, Georgios B. Giannakis:
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks. IEEE Trans. Signal Process. 65(10): 2503-2516 (2017) - [j8]Yanning Shen, Brian Baingana, Georgios B. Giannakis:
Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks. IEEE Trans. Signal Process. 65(14): 3675-3687 (2017) - [j7]Yanning Shen, Morteza Mardani, Georgios B. Giannakis:
Online Categorical Subspace Learning for Sketching Big Data with Misses. IEEE Trans. Signal Process. 65(15): 4004-4018 (2017) - [c16]Tianyi Chen, Yanning Shen, Qing Ling, Georgios B. Giannakis:
Online learning for "thing-adaptive" Fog Computing in IoT. ACSSC 2017: 664-668 - [c15]Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Directed network topology inference via sparse joint diagonalization. ACSSC 2017: 698-702 - [c14]Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis:
Nonlinear dimensionality reduction on graphs. CAMSAP 2017: 1-5 - [c13]Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis:
Network topology inference via elastic net structural equation models. EUSIPCO 2017: 146-150 - [c12]Yanning Shen, Brian Baingana, Georgios B. Giannakis:
Topology inference of directed graphs using nonlinear structural vector autoregressive models. ICASSP 2017: 6513-6517 - [c11]Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis:
Topology inference of multilayer networks. INFOCOM Workshops 2017: 898-903 - [i6]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. CoRR abs/1712.09983 (2017) - 2016
- [j6]Jun Fang, Yanning Shen, Linxiao Yang, Hongbin Li:
Adaptive one-bit quantization for compressed sensing. Signal Process. 125: 145-155 (2016) - [j5]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): 4649-4662 (2016) - [c10]Yanning Shen, Brian Baingana, Georgios B. Giannakis:
Inferring directed network topologies via tensor factorization. ACSSC 2016: 1739-1743 - [c9]Yanning Shen, Brian Baingana, Georgios B. Giannakis:
Nonlinear structural equation models for network topology inference. CISS 2016: 163-168 - [c8]Yanning Shen, Georgios B. Giannakis:
Online dictionary learning from large-scale binary data. EUSIPCO 2016: 1808-1812 - [c7]Yanning Shen, Brian Baingana, Georgios B. Giannakis:
Tracking dynamic piecewise-constant network topologies via adaptive tensor factorization. GlobalSIP 2016: 375-379 - 2015
- [j4]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): 360-372 (2015) - [c6]Yanning Shen, Morteza Mardani, Georgios B. Giannakis:
Online sketching of big categorical data with absent features. CISS 2015: 1-6 - [c5]Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li, Zhi Chen:
Support knowledge-aided sparse Bayesian learning for compressed sensing. ICASSP 2015: 3786-3790 - 2014
- [j3]Jun Fang, Yanning Shen, Hongbin Li, Zhi Ren:
Sparse signal recovery from one-bit quantized data: An iterative reweighted algorithm. Signal Process. 102: 201-206 (2014) - [j2]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): 761-765 (2014) - [c4]Yanning Shen, Huiping Duan, Jun Fang, Hongbin Li:
Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals. ICASSP 2014: 1896-1900 - [c3]Jun Fang, Yanning Shen, Hongbin Li:
Pattern coupled sparse Bayesian learning for recovery of time varying sparse signals. DSP 2014: 705-709 - [i5]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 abs/1401.4312 (2014) - [i4]Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li:
Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information. CoRR abs/1410.5055 (2014) - 2013
- [j1]Yanning Shen, Jun Fang, Hongbin Li:
Exact Reconstruction Analysis of Log-Sum Minimization for Compressed Sensing. IEEE Signal Process. Lett. 20(12): 1223-1226 (2013) - [c2]Yanning Shen, Jun Fang, Hongbin Li:
One-bit compressive sensing and source localization in wireless sensor networks. ChinaSIP 2013: 379-383 - [c1]Yanning Shen, Jun Fang, Hongbin Li, Zhi Chen:
A one-bit reweighted iterative algorithm for sparse signal recovery. ICASSP 2013: 5915-5919 - [i3]Jun Fang, Yanning Shen, Huiping Duan, Hongbin Li:
One-Bit Quantization Design and Adaptive Methods for Compressed Sensing. CoRR abs/1304.1969 (2013) - [i2]Jun Fang, Yanning Shen, Hongbin Li, Pu Wang:
Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals. CoRR abs/1311.2150 (2013) - 2012
- [i1]Jun Fang, Yanning Shen, Hongbin Li:
A Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements. CoRR abs/1210.4290 (2012)
Coauthor Index
Öykü Deniz Köse
aka: Oyku Deniz Kose
aka: Oyku Deniz Kose
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