Search Results for author: Xiaobo Qu

Found 28 papers, 2 papers with code

A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization

no code implementations29 Dec 2022 Jian Cao, Chen Qian, Yihui Huang, Dicheng Chen, Yuncheng Gao, Jiyang Dong, Di Guo, Xiaobo Qu

Recent theory starts to explain implicit regularization with the model of deep matrix factorization (DMF) and analyze the trajectory of discrete gradient dynamics in the optimization process.

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation

no code implementations4 Dec 2022 Yirong Zhou, Chen Qian, Jiayu Li, Zi Wang, Yu Hu, Biao Qu, Liuhong Zhu, Jianjun Zhou, Taishan Kang, Jianzhong Lin, Qing Hong, Jiyang Dong, Di Guo, Xiaobo Qu

Efficient collaboration between engineers and radiologists is important for image reconstruction algorithm development and image quality evaluation in magnetic resonance imaging (MRI).

MRI Reconstruction

Alternating Deep Low Rank Approach for Exponential Function Reconstruction and Its Biomedical Magnetic Resonance Applications

no code implementations24 Nov 2022 Yihui Huang, Zi Wang, Xinlin Zhang, Jian Cao, Zhangren Tu, Di Guo, Xiaobo Qu

Recently, the low rankness of these exponentials has been applied to implicitly constrain the deep learning network through the unrolling of low rank Hankel factorization algorithm.

Rolling Shutter Correction

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging

no code implementations23 Oct 2022 Zi Wang, Haoming Fang, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu

To understand the behavior of the network, the mutual promotion of sensitivity estimation and image reconstruction is revealed through the visualization of network intermediate results.

MRI Reconstruction

Some Practice for Improving the Search Results of E-commerce

1 code implementation30 Jul 2022 Fanyou Wu, Yang Liu, Rado Gazo, Benes Bedrich, Xiaobo Qu

In the Amazon KDD Cup 2022, we aim to apply natural language processing methods to improve the quality of search results that can significantly enhance user experience and engagement with search engines for e-commerce.

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging

no code implementations28 Mar 2022 Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Jing Li, Yuwei Ge, Taishan Kang, Jianzhong Lin, Di Guo, Xiaobo Qu

Conclusion: The explicit phase model PAIR with complementary priors has a good performance on challenging reconstructions under inter-shot motions between shots and a low signal-to-noise ratio.

Flow-level Coordination of Connected and Autonomous Vehicles in Multilane Freeway Ramp Merging Areas

no code implementations18 Feb 2022 Jie Zhu, Ivana Tasic, Xiaobo Qu

The strategy is formulated under an optimization framework, where the optimal control plan is determined based on real-time traffic conditions.

Autonomous Vehicles

One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI

no code implementations9 Dec 2021 Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Bo Zhao, Xiaobo Qu

Deep learning has shown astonishing performance in accelerated magnetic resonance imaging (MRI).

Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles

no code implementations4 Aug 2021 Jie Zhu, Ivana Tasic, Xiaobo Qu

Freeway on-ramps are typical bottlenecks in the freeway network due to the frequent disturbances caused by their associated merging, weaving, and lane-changing behaviors.

Autonomous Vehicles

Accelerated MRI Reconstruction with Separable and Enhanced Low-Rank Hankel Regularization

no code implementations24 Jul 2021 Xinlin Zhang, Hengfa Lu, Di Guo, Zongying Lai, Huihui Ye, Xi Peng, Bo Zhao, Xiaobo Qu

The combination of the sparse sampling and the low-rank structured matrix reconstruction has shown promising performance, enabling a significant reduction of the magnetic resonance imaging data acquisition time.

MRI Reconstruction

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI

no code implementations18 Apr 2021 Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu

Machine learning and artificial intelligence have shown remarkable performance in accelerated magnetic resonance imaging (MRI).

Image Reconstruction

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data

no code implementations26 Jan 2021 Dicheng Chen, Wanqi Hu, Huiting Liu, Yirong Zhou, Tianyu Qiu, Yihui Huang, Zi Wang, Jiazheng Wang, Liangjie Lin, Zhigang Wu, Hao Chen, Xi Chen, Gen Yan, Di Guo, Jianzhong Lin, Xiaobo Qu

A deep learning model, Refusion Long Short-Term Memory (ReLSTM), was designed to learn the mapping from the low SNR time-domain data (24 SA) to the high SNR one (128 SA).


TLab: Traffic Map Movie Forecasting Based on HR-NET

no code implementations13 Nov 2020 Fanyou Wu, Yang Liu, Zhiyuan Liu, Xiaobo Qu, Rado Gazo, Eva Haviarova

In our 2020 Competition solution, we further design multiple variants based on HR-NET and UNet.

Feature Engineering

Optimal Eco-driving Control of Autonomous and Electric Trucks in Adaptation to Highway Topography: Energy Minimization and Battery Life Extension

no code implementations10 Sep 2020 Yongzhi Zhang, Xiaobo Qu, Lang Tong

In this real time control model, a novel state-space model is first developed to capture vehicle speed, acceleration, and state of charge.


Exponential Signal Reconstruction with Deep Hankel Matrix Factorization

no code implementations13 Jul 2020 Yihui Huang, Jinkui Zhao, Zi Wang, Vladislav Orekhov, Di Guo, Xiaobo Qu

Exponential is a basic signal form, and how to fast acquire this signal is one of the fundamental problems and frontiers in signal processing.

Rolling Shutter Correction

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

no code implementations13 Jan 2020 Dicheng Chen, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu

In this Minireview, we summarize applications of DL in Nuclear Magnetic Resonance (NMR) spectroscopy and outline a perspective for DL as entirely new approaches that are likely to transform NMR spectroscopy into a much more efficient and powerful technique in chemistry and life science.

pISTA-SENSE-ResNet for Parallel MRI Reconstruction

no code implementations24 Sep 2019 Tieyuan Lu, Xinlin Zhang, Yihui Huang, Yonggui Yang, Gang Guo, Lijun Bao, Feng Huang, Di Guo, Xiaobo Qu

Magnetic resonance imaging has been widely applied in clinical diagnosis, however, is limited by its long data acquisition time.

MRI Reconstruction

A Guaranteed Convergence Analysis for the Projected Fast Iterative Soft-Thresholding Algorithm in Parallel MRI

no code implementations17 Sep 2019 Xinlin Zhang, Hengfa Lu, Di Guo, Lijun Bao, Feng Huang, Qin Xu, Xiaobo Qu

The pFISTA, a simple and efficient algorithm for sparse reconstruction, has been successfully extended to parallel imaging.

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

no code implementations9 Apr 2019 Xiaobo Qu, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Tatiana Agback, Vladislav Orekhov, Zhong Chen

Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time.

Hankel Matrix Nuclear Norm Regularized Tensor Completion for $N$-dimensional Exponential Signals

no code implementations6 Apr 2016 Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu

Signals are generally modeled as a superposition of exponential functions in spectroscopy of chemistry, biology and medical imaging.

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction

no code implementations10 Mar 2015 Jian-Feng Cai, Xiaobo Qu, Weiyu Xu, Gui-Bo Ye

Our method can be applied to spectral compressed sensing where the signal of interest is a superposition of $R$ complex sinusoids.

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