Tomoyoshi Kimura

According to our database, Tomoyoshi Kimura authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The bottlenecks of AI: challenges for embedded and real-time research in a data-centric age.

Tarek F. Abdelzaher, Yigong Hu, Denizhan Kara, Tomoyoshi Kimura, Ashitabh Misra, Vishakha Ramani, Olivier Tardieu, Tianshi Wang, Maggie B. Wigness, Alaa Youssef

Real Time Syst., June, 2025

SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems.

Yizhuo Chen, Tianchen Wang, You Lyu, Yanlan Hu, Jinyang Li, Tomoyoshi Kimura, Hongjue Zhao, Yigong Hu, Denizhan Kara, Tarek F. Abdelzaher

CoRR, May, 2025

Foundation Models for CPS-IoT: Opportunities and Challenges.

Ozan Baris, Yizhuo Chen, Gaofeng Dong, Liying Han, Tomoyoshi Kimura, Pengrui Quan, Ruijie Wang, Tianchen Wang, Tarek F. Abdelzaher, Mario Bergés, Paul Pu Liang, Mani Srivastava

CoRR, January, 2025

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals.

Tomoyoshi Kimura, Xinlin Li, Osama A. Hanna, Yatong Chen, Yizhuo Chen, Denizhan Kara, Tianshi Wang, Jinyang Li, Xiaomin Ouyang, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher

Proceedings of the ACM on Web Conference 2025, 2025

SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments.

Dachun Sun, You Lyu, Jinning Li, Yizhuo Chen, Tianshi Wang, Tomoyoshi Kimura, Tarek F. Abdelzaher

Proceedings of the IEEE International Conference on Smart Computing, 2025

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

Xiaomin Ouyang, Jason Wu, Tomoyoshi Kimura, Yihan Lin, Gunjan Verma, Tarek F. Abdelzaher, Mani Srivastava

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

DynaGen: Conditional Diffusion Models for Enhancing Acoustic and Seismic-Based Vehicle Detection.

Tianshi Wang, Jinyang Li, Qikai Yang, Ruijie Wang, Yizhuo Chen, Dachun Sun, Bohan Li, Yigong Hu, Tomoyoshi Kimura, Denizhan Kara, Tarek F. Abdelzaher

Proceedings of the IEEE INFOCOM 2025, 2025

DiffPhys: Differential Physics Augmentations for Enhanced Representations.

Denizhan Kara, Tomoyoshi Kimura, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Hongjue Zhao, Joydeep Bhattacharyya, Tarek F. Abdelzaher

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024

SemiCMT: Contrastive Cross-Modal Knowledge Transfer for IoT Sensing with Semi-Paired Multi-Modal Signals.

Yatong Chen, Chenzhi Hu, Tomoyoshi Kimura, Qinya Li, Shengzhong Liu, Fan Wu, Guihai Chen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024

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

Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Denizhan Kara, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie B. Wigness, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher

CoRR, 2024

FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing.

Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek F. Abdelzaher

Proceedings of the ACM on Web Conference 2024, 2024

PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT.

Denizhan Kara, Tomoyoshi Kimura, Yatong Chen, Jinyang Li, Ruijie Wang, Yizhuo Chen, Tianshi Wang, Shengzhong Liu, Tarek F. Abdelzaher

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Fine-grained Control of Generative Data Augmentation in IoT Sensing.

Tianshi Wang, Qikai Yang, Ruijie Wang, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Chaoqi Yang, Tomoyoshi Kimura, Denizhan Kara, Tarek F. Abdelzaher

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.

Tianshi Wang, Yizhuo Chen, Qikai Yang, Dachun Sun, Ruijie Wang, Jinyang Li, Tomoyoshi Kimura, Tarek F. Abdelzaher

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration.

Jinyang Li, Yizhuo Chen, Tomoyoshi Kimura, Tianshi Wang, Ruijie Wang, Denizhan Kara, Yigong Hu, Li Wu, Walid A. Hanafy, Abel Souza, Prashant J. Shenoy, Maggie B. Wigness, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh D. Eckhardt, Denis Osipychev, Tarek F. Abdelzaher

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

The Case for Micro Foundation Models to Support Robust Edge Intelligence.

Tomoyoshi Kimura, Ashitabh Misra, Yizhuo Chen, Denizhan Kara, Jinyang Li, Tianshi Wang, Ruijie Wang, Joydeep Bhattacharyya, Jae Kim, Prashant J. Shenoy, Mani Srivastava, Maggie B. Wigness, Tarek F. Abdelzaher

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.

Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023