Fatih Ilhan

Orcid: 0000-0002-0173-7544

According to our database1, Fatih Ilhan authored at least 21 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adaptive Deep Neural Network Inference Optimization with EENet.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Comparison and evaluation of augmented reality technologies for designing interactive materials.
Educ. Inf. Technol., September, 2023

Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

EENet: Learning to Early Exit for Adaptive Inference.
CoRR, 2023

Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives.
Proceedings of the 5th IEEE International Conference on Trust, 2023

Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Cloaking against Gradient Leakage.
Proceedings of the IEEE International Conference on Data Mining, 2023

Scalable Federated Learning with System Heterogeneity.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Achieving Online Regression Performance of LSTMs With Simple RNNs.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs.
CoRR, 2021

2020
Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels.
IEEE Trans. Signal Process., 2020

Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks.
CoRR, 2020

Achieving Online Regression Performance of LSTMs with Simple RNNs.
CoRR, 2020

Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Online Shortest Path Learning via Convex Optimization.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Spatio-Temporal Crime Prediction with Temporally Hierarchical Convolutional Neural Networks.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Performance Analysis of Semi-Supervised Learning Methods under Different Missing Label Patterns.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020


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