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07/25/2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
Magnetic resonance imaging (MRI) is a principal radiological modality th...
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05/30/2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Large language models (LLMs) can learn to perform a wide range of natura...
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04/24/2023
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
Cooperative perception enabled by V2X Communication technologies can sig...
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01/13/2020
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy
Since the concept of deep learning (DL) was formally proposed in 2006, i...
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07/26/2018
Learning to guide task and motion planning using score-space representation
In this paper, we propose a learning algorithm that speeds up the search...
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06/05/2017
Ensemble Bayesian Optimization
Bayesian Optimization (BO) has been shown to be a very effective paradig...
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03/04/2015
