| Spatio-temporal weather forecasting and attention mechanism on convolutional lstms SF Tekin, O Karaahmetoglu, F Ilhan, I Balaban, SS Kozat arXiv preprint arXiv:2102.00696 4, 2021 | 41 | 2021 |
| Markovian rnn: An adaptive time series prediction network with hmm-based switching for nonstationary environments F Ilhan, O Karaahmetoglu, I Balaban, SS Kozat IEEE Transactions on Neural Networks and Learning Systems 34 (2), 715-728, 2021 | 19 | 2021 |
| Scalefl: Resource-adaptive federated learning with heterogeneous clients F Ilhan, G Su, L Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Unsupervised online anomaly detection on irregularly sampled or missing valued time-series data using lstm networks O Karaahmetoglu, F Ilhan, I Balaban, SS Kozat arXiv preprint arXiv:2005.12005, 2020 | 10 | 2020 |
| Achieving online regression performance of LSTMs with simple RNNs NM Vural, F Ilhan, SF Yilmaz, S Ergüt, SS Kozat IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7632-7643, 2021 | 7 | 2021 |
| Modeling of spatio-temporal hawkes processes with randomized kernels F Ilhan, SS Kozat IEEE Transactions on Signal Processing 68, 4946-4958, 2020 | 7 | 2020 |
| Adaptive Deep Neural Network Inference Optimization with EENet F Ilhan, KH Chow, S Hu, T Huang, S Tekin, W Wei, Y Wu, M Lee, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 6* | 2024 |
| Large language model-powered smart contract vulnerability detection: New perspectives S Hu, T Huang, F İlhan, SF Tekin, L Liu arXiv preprint arXiv:2310.01152, 2023 | 6 | 2023 |
| Stdlens: Model hijacking-resilient federated learning for object detection KH Chow, L Liu, W Wei, F Ilhan, Y Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Model cloaking against gradient leakage W Wei, KH Chow, F Ilhan, Y Wu, L Liu 2023 IEEE International Conference on Data Mining (ICDM), 1403-1408, 2023 | 3 | 2023 |
| Spatio-temporal crime prediction with temporally hierarchical convolutional neural networks F Ilhan, SF Tekin, B Aksoy 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | 3 | 2020 |
| Forecasting of tropical cyclone trajectories with deep learning SF Tekin, F Ilhan arXiv preprint arXiv:1910.10566, 2021 | 2 | 2021 |
| RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee NM Vural, SF Yilmaz, F Ilhan, SS Kozat arXiv preprint arXiv:2003.03601, 2020 | 2 | 2020 |
| Hierarchical deep neural network inference for device-edge-cloud systems F Ilhan, SF Tekin, S Hu, T Huang, KH Chow, L Liu Companion Proceedings of the ACM Web Conference 2023, 302-305, 2023 | 1 | 2023 |
| Resource-Efficient Transformer Pruning for Finetuning of Large Models F Ilhan, G Su, SF Tekin, T Huang, S Hu, L Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning SF Tekin, F Ilhan, T Huang, S Hu, KH Chow, ML Loper, L Liu arXiv preprint arXiv:2404.04434, 2024 | | 2024 |
| A Survey on Large Language Model-Based Game Agents S Hu, T Huang, F Ilhan, S Tekin, G Liu, R Kompella, L Liu arXiv preprint arXiv:2404.02039, 2024 | | 2024 |
| Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning S Furkan Tekin, F Ilhan, T Huang, S Hu, KH Chow, ML Loper, L Liu arXiv e-prints, arXiv: 2404.04434, 2024 | | 2024 |
| Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training T Huang, S Hu, KH Chow, F Ilhan, S Tekin, L Liu Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Scalable Federated Learning with System Heterogeneity F Ilhan, G Su, Q Wang, L Liu 2023 IEEE 43rd International Conference on Distributed Computing Systems …, 2023 | | 2023 |
