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08/19/2022
A Dual Modality Approach For (Zero-Shot) Multi-Label Classification
In computer vision, multi-label classification, including zero-shot mult...
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03/22/2022
Federated Class-Incremental Learning
Federated learning (FL) has attracted growing attention via data-private...
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06/27/2021
Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control
As people spend up to 87 Ventilation, and Air Conditioning (HVAC) system...
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06/13/2021
Non-Transferable Learning: A New Approach for Model Verification and Authorization
As Artificial Intelligence as a Service gains popularity, protecting wel...
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02/15/2021
Weak Adaptation Learning – Addressing Cross-domain Data Insufficiency with Weak Annotator
Data quantity and quality are crucial factors for data-driven learning m...
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08/14/2020
Towards Class Imbalance in Federated Learning
Federated learning (FL) is a promising approach for training decentraliz...
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08/09/2020
One for Many: Transfer Learning for Building HVAC Control
The design of building heating, ventilation, and air conditioning (HVAC)...
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10/14/2019
Eavesdrop the Composition Proportion of Training Labels in Federated Learning
Federated learning (FL) has recently emerged as a new form of collaborat...
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07/15/2019