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09/12/2023
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis
Nuclear Magnetic Resonance (NMR) spectroscopy has served as a powerful a...
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07/26/2023
Heterogeneous Embodied Multi-Agent Collaboration
Multi-agent embodied tasks have recently been studied in complex indoor ...
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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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06/16/2023
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal
Magnetic Resonance Spectroscopy (MRS) is an important non-invasive techn...
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04/14/2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding
Soft-thresholding has been widely used in neural networks. Its basic net...
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02/21/2023
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
In this paper, a novel robotic grasping system is established to automat...
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12/29/2022
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
Implicit regularization is an important way to interpret neural networks...
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10/23/2022
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging
Recent deep learning is superior in providing high-quality images and ul...
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10/20/2022
Physics-informed deep diffusion MRI reconstruction: break the bottleneck of training data in artificial intelligence
In this work, we propose a Physics-Informed Deep Diffusion magnetic reso...
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07/16/2022
Scene Graph for Embodied Exploration in Cluttered Scenario
The ability to handle objects in cluttered environment has been long ant...
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01/26/2022
Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation
In the Vision-and-Language Navigation task, the embodied agent follows l...
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01/23/2022
ASCNet: Action Semantic Consistent Learning of Arbitrary Progress Levels for Early Action Prediction
Early action prediction aims to recognize human actions from only a part...
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12/09/2021
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI
Deep learning has shown astonishing performance in accelerated magnetic ...
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09/22/2021
Audio-Visual Grounding Referring Expression for Robotic Manipulation
Referring expressions are commonly used when referring to a specific tar...
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09/20/2021
Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge
In visual semantic navigation, the robot navigates to a target object wi...
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09/16/2021
Knowledge-based Embodied Question Answering
In this paper, we propose a novel Knowledge-based Embodied Question Answ...
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01/26/2021
Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data
Objective: Magnetic Resonance Spectroscopy (MRS) is a noninvasive tool t...
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12/29/2020
Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning
Multi-dimensional NMR spectroscopy is an invaluable biophysical tool in ...
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11/17/2020
Fault-Aware Robust Control via Adversarial Reinforcement Learning
Robots have limited adaptation ability compared to humans and animals in...
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11/06/2020
Adversarial Skill Learning for Robust Manipulation
Deep reinforcement learning has made significant progress in robotic man...
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04/30/2020
Towards Embodied Scene Description
Embodiment is an important characteristic for all intelligent agents (cr...
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03/10/2020
MQA: Answering the Question via Robotic Manipulation
In this paper,we propose a novel task of Manipulation Question Answering...
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01/30/2020
Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices
Exponential functions are powerful tools to model signals in various sce...
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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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09/24/2019
pISTA-SENSE-ResNet for Parallel MRI Reconstruction
Magnetic resonance imaging has been widely applied in clinical diagnosis...
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09/17/2019
A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging
The boom of non-uniform sampling and compressed sensing techniques drama...
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04/09/2019
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable...
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04/06/2016
Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals
Signals are generally modeled as a superposition of exponential function...
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04/29/2015
Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging
Compressed sensing has shown great potentials in accelerating magnetic r...
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03/10/2015
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction
Objective: Improve the reconstructed image with fast and multi-class dic...
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01/23/2013
