Yongqi Tan

ORCID: 0000-0003-4329-6385
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About
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Research Areas
  • Laser-induced spectroscopy and plasma
  • Analytical chemistry methods development
  • Cultural Heritage Materials Analysis
  • Neural Networks and Reservoir Computing
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Neural dynamics and brain function
  • Pluripotent Stem Cells Research
  • Polysaccharides and Plant Cell Walls
  • Geochemistry and Geologic Mapping
  • Medicinal Plants and Bioactive Compounds
  • Particle Accelerators and Free-Electron Lasers
  • Particle accelerators and beam dynamics
  • Planetary Science and Exploration
  • Mercury impact and mitigation studies
  • Neural Networks and Applications
  • Genomics and Chromatin Dynamics
  • Advanced X-ray and CT Imaging
  • Privacy, Security, and Data Protection
  • Fungal Biology and Applications
  • Privacy-Preserving Technologies in Data
  • Mesoporous Materials and Catalysis
  • Optical Network Technologies
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Memory and Neural Computing
  • Gyrotron and Vacuum Electronics Research

Shanghai Jiao Tong University
2020-2024

Chinese University of Hong Kong
2023

University of Hong Kong
2023

Beijing Normal University - Hong Kong Baptist University United International College
2022

Sorbonne Université
2020

Collège de France
2020

École Normale Supérieure - PSL
2020

Centre National de la Recherche Scientifique
2020

Université Paris Sciences et Lettres
2020

Laboratoire Kastler Brossel
2020

To explore the feasibility of diagnosing microvascular invasion (MVI) with radiomics, to compare diagnostic performance different models established by each method, and determine best model based on radiomics.A retrospective analysis was conducted 206 cases hepatocellular carcinoma (HCC) confirmed through surgery pathology in our hospital from June 2015 September 2018. Among samples, 88 were MVI-positive, 118 MVI-negative. The radiomics process included tumor segmentation, feature...

10.1186/s40644-019-0249-x article EN cc-by Cancer Imaging 2019-08-28

Reservoir computing is a relatively recent computational paradigm that originates from recurrent neural network and known for its wide range of implementations using different physical technologies. Large reservoirs are very hard to obtain in conventional computers, as both the computation complexity memory usage grow quadratically. We propose an optical scheme performing reservoir over large networks potentially being able host several millions fully connected photonic nodes thanks...

10.1103/physrevx.10.041037 article EN cc-by Physical Review X 2020-11-20

With the ChemCam instrument, laser-induced breakdown spectroscopy (LIBS) has successively contributed to Mars exploration by determining elemental compositions of soil, crust and rocks. Two new lunched missions, Chinese Tianwen 1 American Perseverance, will further increase number LIBS instruments on after planned landings in spring 2021. Such unprecedented situation requires a reinforced research effort methods spectral data treatment. Although matrix effects correspond general issue LIBS,...

10.1038/s41598-021-00647-2 article EN cc-by Scientific Reports 2021-11-01

The matrix effects in LIBS analyses have been considered with univariate and machine learning based multivariate regression models for TAS classification of rocks.

10.1039/d0ja00157k article EN Journal of Analytical Atomic Spectrometry 2020-01-01

This work demonstrates the efficiency of machine learning in correction spectral intensity variations laser-induced breakdown spectroscopy (LIBS) due to changes laser pulse energy, such can occur over a wide range, from 7.9 71.1 mJ our experiment. The developed multivariate model led precise determination concentration minor element (magnesium for instance) samples (aluminum alloys this work) with precision 6.3% (relative standard deviation, RSD) using LIBS spectra affected by energy change....

10.1364/oe.392176 article EN cc-by Optics Express 2020-04-20

As any spectrochemical analysis method, laser-induced breakdown spectroscopy (LIBS) usually relates characteristic spectral lines of the elements or molecules to be analyzed their concentrations in a material. It is however not always possible for given application scenario, rely on such because various practical limitations as well physical perturbations spectrum excitation and recording process. This actually case determination carbon steel with LIBS operated ambient gas, where intense C I...

10.1364/oe.404722 article EN cc-by Optics Express 2020-09-28

Abstract Human expanded potential stem cells (hEPSC) have been derived from human embryonic and induced pluripotent cells. Here direct derivation of hEPSC pre‐implantation embryos is reported. Like the reported hEPSC, embryo‐derived (hEPSC‐em) exhibit a transcriptome similar to morula, comparable differentiation potency, high genome editing efficiency. Interestingly, hEPSC‐em show unique H3 lysine‐4 trimethylation (H3K4me3) open chromatin conformation; they possess higher proportion H3K4me3...

10.1002/advs.202204797 article EN cc-by Advanced Science 2023-02-12

Abstract With the ChemCam instrument, laser-induced breakdown spectroscopy (LIBS) has successively contributed to Mars exploration by determining elemental compositions of soils, crusts and rocks. American Perseverance landed since Feb 18, 2021 on Chinese Tianwen 1 planned for landing soon, further increase number LIBS instruments Mars. Such unprecedented situation requires a reinforced research effort methods spectral data treatment. Although matrix effects correspond general issue in LIBS,...

10.21203/rs.3.rs-400278/v1 preprint EN cc-by Research Square (Research Square) 2021-04-12

There have been a number of rapid advances in the prediction dynamics chaotic systems using technique known as Reservoir Computing. These techniques are mostly not effective for large networks, complexity task increases quadratically both time and memory. We report new Optical Computing multiple light scattering to accelerate recursive computation reservoir states. Different approaches information encoding based on phase or amplitude spatial modulations compared. demonstrate scalability good...

10.1117/12.2545755 article EN 2020-03-09

<sec> <title>BACKGROUND</title> Medical data mining and sharing is an important process to realize the value of medical big in E-Health applications. However, contains a large amount personal private information patients, there risk privacy disclosure when mining. Therefore, how ensure security publishing, has become focus current researches. </sec> <title>OBJECTIVE</title> The objective our study design framework based on differential protection mechanism data. We developed Protection Query...

10.2196/preprints.23073 preprint EN 2020-08-01
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