| 2026 | AAAI | CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. | Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen |
| 2026 | WSDM | Debias Once for All: A Data-Centric Strategy for Fair Machine Learning. | Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani |
| 2025 | ACSSC | Enhanced Multi-model Online Conformal Prediction. | Erfan Hajihashemi, Yanning Shen |
| 2025 | CIKM | Enabling Group Fairness in Machine Unlearning via Distribution Correction. | Yezi Liu, Yanning Shen |
| 2025 | IJCAI | DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. | Yezi Liu, Jiaxuan Xie, Yanning Shen |
| 2025 | WWW | Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation. | Yezi Liu, Yanning Shen |
| 2025 | SP | FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge. | Tianyu Zhang, Shen Dong, Oyku Deniz Kose, Yanning Shen, Yupeng Zhang |
| 2024 | ECCV | FairViT: Fair Vision Transformer via Adaptive Masking. | Bowei Tian, Ruijie Du, Yanning Shen |
| 2023 | ACSSC | Fairness-Aware Graph Filter Design. | yk Deniz Kse, Yanning Shen, Gonzalo Mateos |
| 2023 | ICASSP | Dynamic Fair Node Representation Learning. | Oyku Deniz Kose, Yanning Shen |
| 2023 | KDD | Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. | Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li |
| 2022 | ACSSC | Fairness-aware Graph Attention Networks. | yk Deniz Kse, Yanning Shen |
| 2022 | ICASSP | Online Learning with Probabilistic Feedback. | Pouya M. Ghari, Yanning Shen |
| 2022 | ICASSP | Fairness-Aware Selective Sampling on Attributed Graphs. | Oyku Deniz Kose, Yanning Shen |
| 2021 | ICASSP | Online Multi-Hop Information Based Kernel Learning Over Graphs. | Zixiao Zong, Yanning Shen |
| 2020 | ACSSC | Graph-aided Online Learning with Expert Advice. | Pouya M. Ghari, Yanning Shen |
| 2020 | AISTATS | Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. | Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis |
| 2020 | ICML | Online Multi-Kernel Learning with Graph-Structured Feedback. | Pouya M. Ghari, Yanning Shen |
| 2018 | ACSSC | Signal and Graph Perturbations via Total Least-Squares. | Elena Ceci, Yanning Shen, Georgios B. Giannakis, Sergio Barbarossa |
| 2018 | AISTATS | Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. | Yanning Shen, Tianyi Chen, Georgios B. Giannakis |
| 2018 | ICASSP | Online Multi-Kernel Learning with Orthogonal Random Features. | Yanning Shen, Tianyi Chen, Georgios B. Giannakis |
| 2017 | ACSSC | Online learning for "thing-adaptive" Fog Computing in IoT. | Tianyi Chen, Yanning Shen, Qing Ling, Georgios B. Giannakis |
| 2017 | ACSSC | Directed network topology inference via sparse joint diagonalization. | Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos |
| 2017 | ICASSP | Topology inference of directed graphs using nonlinear structural vector autoregressive models. | Yanning Shen, Brian Baingana, Georgios B. Giannakis |
| 2017 | INFOCOM | Topology inference of multilayer networks. | Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis |
| 2016 | ACSSC | Inferring directed network topologies via tensor factorization. | Yanning Shen, Brian Baingana, Georgios B. Giannakis |
| 2016 | CISS | Nonlinear structural equation models for network topology inference. | Yanning Shen, Brian Baingana, Georgios B. Giannakis |
| 2015 | CISS | Online sketching of big categorical data with absent features. | Yanning Shen, Morteza Mardani, Georgios B. Giannakis |
| 2015 | ICASSP | Support knowledge-aided sparse Bayesian learning for compressed sensing. | Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li, Zhi Chen |
| 2014 | ICASSP | Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals. | Yanning Shen, Huiping Duan, Jun Fang, Hongbin Li |
| 2013 | ICASSP | A one-bit reweighted iterative algorithm for sparse signal recovery. | Yanning Shen, Jun Fang, Hongbin Li, Zhi Chen |