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08/14/2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Insufficient data is a long-standing challenge for Brain-Computer Interf...
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05/25/2023
Waiting, Banning, and Embracing: An Empirical Analysis of Adapting Policies for Generative AI in Higher Education
Generative AI tools such as ChatGPT have recently gained significant att...
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02/22/2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Artificial intelligence (AI)-empowered industrial fault diagnostics is i...
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08/10/2022
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Large-scale neural networks possess considerable expressive power. They ...
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04/05/2021
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images
Radiotherapy is a treatment where radiation is used to eliminate cancer ...
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02/04/2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
The behaviors of deep neural networks (DNNs) are notoriously resistant t...
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01/23/2020
RPN: A Residual Pooling Network for Efficient Federated Learning
Federated learning is a new machine learning framework which enables dif...
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01/17/2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Visual object detection is a computer vision-based artificial intelligen...
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07/28/2019
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images
In this paper, we propose an end-to-end deep neural network for solving ...
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05/24/2019
