no code implementations • 9 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.
no code implementations • 31 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.
no code implementations • 4 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.
1 code implementation • 23 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.
1 code implementation • 4 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.
1 code implementation • 21 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.
no code implementations • 8 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.
1 code implementation • 24 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.
1 code implementation • 1 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.
no code implementations • 31 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.
no code implementations • 29 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).
no code implementations • 28 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).
no code implementations • 28 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.
no code implementations • 16 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.
no code implementations • 3 Oct 2017 • Jialiang Zhao, Qi Gao
Knowledge of users' emotion states helps improve human-computer interaction.