Victor J. B. Jung
Orcid: 0009-0001-7462-3468
According to our database1,
Victor J. B. Jung
authored at least 12 papers
between 2023 and 2025.
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Bibliography
2025
Toward Attention-Based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow.
IEEE Des. Test, October, 2025
Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches.
CoRR, April, 2025
IEEE Trans. Computers, February, 2025
IEEE Trans. Biomed. Circuits Syst., February, 2025
Distributed Inference with Minimal Off-Chip Traffic for Transformers on Low-Power MCUs.
Proceedings of the Design, Automation & Test in Europe Conference, 2025
A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-Core RV Clusters for Attention-Based Model Deployment.
Proceedings of the 36th IEEE International Conference on Application-specific Systems, 2025
2024
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models on Heterogeneous Microcontrollers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024
Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs.
IEEE Trans. Biomed. Circuits Syst., June, 2024
A Noisy Beat is Worth 16 Words: a Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers.
CoRR, 2024
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms.
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024
2023
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023