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03/24/2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting
Time-series data augmentation mitigates the issue of insufficient traini...
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01/17/2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Federated Learning (FL) has gained increasing interest in recent years a...
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01/01/2023
Federated Learning with Client-Exclusive Classes
Existing federated classification algorithms typically assume the local ...
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01/01/2023
Modeling Label Semantics Improves Activity Recognition
Human activity recognition (HAR) aims to classify sensory time series in...
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12/15/2022
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Transformer-based models have gained large popularity and demonstrated p...
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12/23/2021
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations
Task-oriented dialogue systems have been plagued by the difficulties of ...
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04/07/2021
On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor Method
Various hardware accelerators have been developed for energy-efficient a...
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11/25/2019
Filling Conversation Ellipsis for Better Social Dialog Understanding
The phenomenon of ellipsis is prevalent in social conversations. Ellipsi...
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06/28/2019
Tucker Tensor Decomposition on FPGA
Tensor computation has emerged as a powerful mathematical tool for solvi...
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06/13/2019
