Denizhan Kara

Orcid: 0009-0006-2520-4941

According to our database1, Denizhan Kara authored at least 18 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
The bottlenecks of AI: challenges for embedded and real-time research in a data-centric age.
Real Time Syst., June, 2025

OpenMAE: Efficient Masked Autoencoder for Vibration Sensing with Open-domain Data Enrichment.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., June, 2025

SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems.
CoRR, May, 2025

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals.
Proceedings of the ACM on Web Conference 2025, 2025

DynaGen: Conditional Diffusion Models for Enhancing Acoustic and Seismic-Based Vehicle Detection.
Proceedings of the IEEE INFOCOM 2025, 2025

Perturbation-Based Graph Active Learning for Semi-Supervised Belief Representation Learning.
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

The Irrational LLM: Implementing Cognitive Agents with Weighted Retrieval-Augmented Generation.
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

DiffPhys: Differential Physics Augmentations for Enhanced Representations.
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024
Requiem for a drone: a machine-learning based framework for stealthy attacks against unmanned autonomous vehicles.
CoRR, 2024

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study.
CoRR, 2024

FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing.
Proceedings of the ACM on Web Conference 2024, 2024

MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Fine-grained Control of Generative Data Augmentation in IoT Sensing.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

The Case for Micro Foundation Models to Support Robust Edge Intelligence.
Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

2023
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

2022
The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example.
Proceedings of the IEEE Military Communications Conference, 2022


  Loading...