Search Results for author: Qi Gao

Found 15 papers, 5 papers with code

Distortion-Aware Phase Retrieval Receiver for High-Order QAM Transmission with Carrierless Intensity-Only Measurements

no code implementations9 Oct 2023 Hanzi Huang, Haoshuo Chen, Qi Gao, Yetian Huang, Nicolas K. Fontaine, Mikael Mazur, Lauren Dallachiesa, Roland Ryf, Zhengxuan Li, Yingxiong Song

We experimentally investigate transmitting high-order quadrature amplitude modulation (QAM) signals with carrierless and intensity-only measurements with phase retrieval (PR) receiving techniques.

Retrieval

Agent Teaming Situation Awareness (ATSA): A Situation Awareness Framework for Human-AI Teaming

no code implementations31 Aug 2023 Qi Gao, Wei Xu, Mowei Shen, Zaifeng Gao

To this end, we provide a review of leading SA theoretical models and a new framework for SA in the HAT context based on the key features and processes of HAT.

Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra

no code implementations4 Aug 2023 Liang Liao, Zhuang Guo, Qi Gao, Yan Wang, Fajun Yu, Qifeng Zhao, Stephen Johh Maybank

To improve the accuracy of color image completion with missing entries, we present a recovery method based on generalized higher-order scalars.

Matrix Completion

ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising

1 code implementation23 Jul 2023 Zhihao Chen, Qi Gao, Yi Zhang, Hongming Shan

In this paper, we propose a novel Anatomy-aware Supervised CONtrastive learning framework, termed ASCON, which can explore the anatomical semantics for low-dose CT denoising while providing anatomical interpretability.

Anatomy Computed Tomography (CT) +2

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

1 code implementation4 Apr 2023 Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan

First, CoreDiff utilizes LDCT images to displace the random Gaussian noise and employs a novel mean-preserving degradation operator to mimic the physical process of CT degradation, significantly reducing sampling steps thanks to the informative LDCT images as the starting point of the sampling process.

Computed Tomography (CT) Denoising +1

LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring

1 code implementation21 Feb 2023 Zhihao Chen, Chuang Niu, Qi Gao, Ge Wang, Hongming Shan

Here, we propose to link in-plane and through-plane transformers for simultaneous in-plane denoising and through-plane deblurring, termed as LIT-Former, which can efficiently synergize in-plane and through-plane sub-tasks for 3D CT imaging and enjoy the advantages of both convolution and transformer networks.

Computed Tomography (CT) Deblurring +2

ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction

no code implementations8 Oct 2022 Ji Qi, Bin Xu, Kaisheng Zeng, Jinxin Liu, Jifan Yu, Qi Gao, Juanzi Li, Lei Hou

Document-level relation extraction with graph neural networks faces a fundamental graph construction gap between training and inference - the golden graph structure only available during training, which causes that most methods adopt heuristic or syntactic rules to construct a prior graph as a pseudo proxy.

Document-level Relation Extraction graph construction +1

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction

1 code implementation24 Jul 2022 Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan

Here we extend the state-of-the-art dual-domain deep network approach into a quad-domain counterpart so that all the features in the sinogram, image, and their corresponding Fourier domains are synergized to eliminate metal artifacts optimally without compromising structural subtleties.

Computed Tomography (CT) Metal Artifact Reduction

Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra

1 code implementation1 Feb 2022 Liang Liao, Sen Lin, Lun Li, Xiuwei Zhang, Song Zhao, Yan Wang, Xinqiang Wang, Qi Gao, Jingyu Wang

Higher order singular value decomposition (HOSVD) extends the SVD and can approximate higher order data using sums of a few rank-one components.

A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded

no code implementations31 Oct 2021 Qi Gao, Hongtao Lin, Han Tu, Haoran Zhu, Runjie Wei, Guoping Zhang, Xueming Shao

CC-FCN has two types of input layers, one is for the particle images, and the other is for the initial velocity field calculated using cross-correlation with a coarse resolution.

Super-Resolution

Experience Replay More When It's a Key Transition in Deep Reinforcement Learning

no code implementations29 Sep 2021 Youtian Guo, Qi Gao

We propose a experience replay mechanism in Deep Reinforcement Learning based on Add Noise to Noise (AN2N), which requires agent to replay more experience containing key state, abbreviated as Experience Replay More (ERM).

OpenAI Gym reinforcement-learning +1

Exploring More When It Needs in Deep Reinforcement Learning

no code implementations28 Sep 2021 Youtian Guo, Qi Gao

We propose a exploration mechanism of policy in Deep Reinforcement Learning, which is exploring more when agent needs, called Add Noise to Noise (AN2N).

Continuous Control Efficient Exploration +2

Protein-protein interactions enhance the thermal resilience of SpyRing enzymes: a molecular dynamic simulation study

no code implementations28 Jul 2021 Qi Gao, Dengming Ming

SpyTag spontaneously reacts with SpyCatcher to form an isopeptide bond, with which the target enzyme forms a close ring structure.

Geometric Matching

Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning

no code implementations16 Sep 2019 Qi Gao, Shaowu Pan, Hongping Wang, Runjie Wei, Jinjun Wang

Three-dimensional particle reconstruction with limited two-dimensional projections is an under-determined inverse problem that the exact solution is often difficult to be obtained.

BIG-bench Machine Learning

Annotation and Detection of Emotion in Text-based Dialogue Systems with CNN

no code implementations3 Oct 2017 Jialiang Zhao, Qi Gao

Knowledge of users' emotion states helps improve human-computer interaction.

Cannot find the paper you are looking for? You can Submit a new open access paper.