Search Results for author: Di Guo

Found 30 papers, 3 papers with code

Multi-Agent Embodied Question Answering in Interactive Environments

no code implementations ECCV 2020 Sinan Tan, Weilai Xiang, Huaping Liu, Di Guo, Fuchun Sun

We investigate a new AI task --- Multi-Agent Interactive Question Answering --- where several agents explore the scene jointly in interactive environments to answer a question.

3D Reconstruction Embodied Question Answering +1

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.

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

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.

Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation

no code implementations26 Jan 2022 Sinan Tan, Mengmeng Ge, Di Guo, Huaping Liu, Fuchun Sun

In the Vision-and-Language Navigation task, the embodied agent follows linguistic instructions and navigates to a specific goal.

Representation Learning Test unseen +1

Rich Action-semantic Consistent Knowledge for Early Action Prediction

no code implementations23 Jan 2022 Xiaoli Liu, Jianqin Yin, Di Guo

Next, we build a bi-directional semantic graph for the teacher network and a single-directional semantic graph for the student network to model rich ASCK among partial videos.

Early Action Prediction

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).

Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge

no code implementations20 Sep 2021 Xinzhu Liu, Di Guo, Huaping Liu, Fuchun Sun

In this paper, we propose the multi-agent visual semantic navigation, in which multiple agents collaborate with others to find multiple target objects.

Efficient Exploration

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).


Unsupervised Representation Learning by Invariance Propagation

no code implementations NeurIPS 2020 Feng Wang, Huaping Liu, Di Guo, Sun Fuchun

In this paper, we propose Invariance Propagation to focus on learning representations invariant to category-level variations, which are provided by different instances from the same category.

Contrastive Learning Representation Learning +1

Unsupervised Representation Learning by InvariancePropagation

1 code implementation7 Oct 2020 Feng Wang, Huaping Liu, Di Guo, Fuchun Sun

In this paper, we propose Invariance Propagation to focus on learning representations invariant to category-level variations, which are provided by different instances from the same category.

Contrastive Learning Representation Learning +1

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.

Towards Embodied Scene Description

no code implementations30 Apr 2020 Sinan Tan, Huaping Liu, Di Guo, Xin-Yu Zhang, Fuchun Sun

Embodiment is an important characteristic for all intelligent agents (creatures and robots), while existing scene description tasks mainly focus on analyzing images passively and the semantic understanding of the scenario is separated from the interaction between the agent and the environment.

Imitation Learning reinforcement-learning +1

MQA: Answering the Question via Robotic Manipulation

1 code implementation10 Mar 2020 Yuhong Deng, Di Guo, Xiaofeng Guo, Naifu Zhang, Huaping Liu, Fuchun Sun

In this paper, we propose a novel task, Manipulation Question Answering (MQA), where the robot performs manipulation actions to change the environment in order to answer a given question.

Imitation Learning Question Answering +2

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.

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