Tomoyoshi Kimura

Orcid: 0009-0008-4297-5865

According to our database1, Tomoyoshi Kimura authored at least 10 papers between 2023 and 2024.

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

Timeline

2023
2024
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1
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5
6
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9
10
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6
1

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SemiCMT: Contrastive Cross-Modal Knowledge Transfer for IoT Sensing with Semi-Paired Multi-Modal Signals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT.
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

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

Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 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
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


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