Shuoyuan Wang
Orcid: 0000-0003-1795-4161
According to our database1,
Shuoyuan Wang
authored at least 16 papers
between 2022 and 2025.
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Bibliography
2025
Deconfounding Causal Inference through Two-branch Framework with Early-forking for Sensor-based Cross-domain Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., June, 2025
CoRR, May, 2025
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Towards Better Accuracy-Efficiency Trade-Offs: Dynamic Activity Inference via Collaborative Learning From Various Width-Resolution Configurations.
IEEE Trans. Artif. Intell., December, 2024
MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition.
IEEE J. Biomed. Health Informatics, May, 2024
PatchHAR: A MLP-Like Architecture for Efficient Activity Recognition Using Wearables.
IEEE Trans. Biom. Behav. Identity Sci., April, 2024
A General Multistage Deep Learning Framework for Sensor-Based Human Activity Recognition Under Bounded Computational Budget.
IEEE Trans. Instrum. Meas., 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation.
ACM Trans. Embed. Comput. Syst., 2023
CoRR, 2023
2022
A lightweight neural network framework using linear grouped convolution for human activity recognition on mobile devices.
J. Supercomput., 2022
Deep Convolutional Networks With Tunable Speed-Accuracy Tradeoff for Human Activity Recognition Using Wearables.
IEEE Trans. Instrum. Meas., 2022