Temporally-Aware Acoustic Unit Discovery for Zerospeech 2019 Challenge. - Bolaji Yusuf; Alican Gök; Batuhan Gündogdu; Oyku Deniz Kose; Murat Saraclar (INTERSPEECH, 2019)

Recurrent Neural Audiovisual Word Embeddings for Synchronized Speech and Real-Time Mri. - Öykü Deniz Köse; Murat Saraçlar (ICASSP, 2020)

Joint Distance and Representation Learning for Sign Language Videos. - Öykü Deniz Köse; Murat Saraçlar (SIU, 2020)

Machine Learning-Based Silent Entity Localization Using Molecular Diffusion. - Oyku Deniz Kose; Mustafa Can Gursoy; Murat Saraclar; Ali Emre Pusane; Tuna Tugcu (IEEE Commun. Lett., 2020)

Fairness-Aware Node Representation Learning. - Öykü Deniz Köse; Yanning Shen (CoRR, 2021)

Multimodal Representations for Synchronized Speech and Real-Time MRI Video Processing. - Öykü Deniz Köse; Murat Saraçlar (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Fairness-aware Graph Attention Networks. - Öykü Deniz Köse; Yanning Shen (IEEECONF, 2022)

Fairness-aware Adaptive Network Link Prediction. - Oyku Deniz Kose; Yanning Shen (EUSIPCO, 2022)

Fairness-Aware Selective Sampling on Attributed Graphs. - Oyku Deniz Kose; Yanning Shen (ICASSP, 2022)

Fair Node Representation Learning via Adaptive Data Augmentation. - Öykü Deniz Köse; Yanning Shen (CoRR, 2022)

FairNorm: Fair and Fast Graph Neural Network Training. - Öykü Deniz Köse; Yanning Shen (CoRR, 2022)

Fair Contrastive Learning on Graphs. - Oyku Deniz Kose; Yanning Shen (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Fairness-Aware Graph Filter Design. - Öykü Deniz Köse; Yanning Shen; Gonzalo Mateos (ACSSC, 2023)

Fairness-Aware Dimensionality Reduction. - Öykü Deniz Köse; Yanning Shen (EUSIPCO, 2023)

Dynamic Fair Node Representation Learning. - Oyku Deniz Kose; Yanning Shen (ICASSP, 2023)

Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. - Yushun Dong; Oyku Deniz Kose; Yanning Shen; Jundong Li (KDD, 2023)

Fairness-aware Optimal Graph Filter Design. - Oyku Deniz Kose; Yanning Shen; Gonzalo Mateos (CoRR, 2023)

Fast&Fair: Training Acceleration and Bias Mitigation for GNNs. - Oyku Deniz Kose; Yanning Shen (Trans. Mach. Learn. Res., 2023)

Filtering as Rewiring for Bias Mitigation on Graphs. - Oyku Deniz Kose; Gonzalo Mateos; Yanning Shen (SAM, 2024)

FairWire: Fair Graph Generation. - Oyku Deniz Kose; Yanning Shen (NeurIPS, 2024)

FairGAT: Fairness-Aware Graph Attention Networks. - Öykü Deniz Köse; Yanning Shen (ACM Trans. Knowl. Discov. Data, 2024)

Demystifying and Mitigating Bias for Node Representation Learning. - Oyku Deniz Kose; Yanning Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge. - Tianyu Zhang; Shen Dong; Oyku Deniz Kose; Yanning Shen; Yupeng Zhang (SP, 2025)

Unlearning Algorithmic Biases over Graphs. - Öykü Deniz Köse; Gonzalo Mateos; Yanning Shen (CoRR, 2025)