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03/20/2023
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation
Sensor-based human activity segmentation and recognition are two importa...
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10/18/2022
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning
Existing zero-shot cross-lingual transfer methods rely on parallel corpo...
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07/02/2022
Multi-scale Attentive Image De-raining Networks via Neural Architecture Search
Multi-scale architectures and attention modules have shown effectiveness...
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05/08/2022
Blockchain Application on the Internet of Vehicles (IoV)
With the rapid development of the Internet of Things (IoT) and its poten...
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04/08/2022
Scaling Bockchain with Adaptivity
This paper presents Balloon, a scalable blockchain consensus protocol wh...
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03/23/2022
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition
Contrastive learning has been applied to Human Activity Recognition (HAR...
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02/14/2022
Semantic Matching from Different Perspectives
In this paper, we pay attention to the issue which is usually overlooked...
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09/05/2021
Sensor Data Augmentation with Resampling for Contrastive Learning in Human Activity Recognition
Human activity recognition plays an increasingly important role not only...
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05/31/2018
