Shuoyuan Wang
Orcid: 0000-0003-1795-4161
According to our database1,
Shuoyuan Wang authored at least 19 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
MarsRetrieval: Benchmarking Vision-Language Models for Planetary-Scale Geospatial Retrieval on Mars.
CoRR, February, 2026
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
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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
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