A5101593817- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Remote-Sensing Image Classification
- Virology and Viral Diseases
- Image Retrieval and Classification Techniques
- Bacteriophages and microbial interactions
- Advanced Image and Video Retrieval Techniques
- Automated Road and Building Extraction
- Respiratory viral infections research
- Black Holes and Theoretical Physics
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Neutrino Physics Research
Changchun University of Technology
2023-2024
Xiamen University
2024
Central China Normal University
2018-2023
University of Science and Technology of China
2021
We study the e^{+}e^{-}→γωJ/ψ process using 11.6 fb^{-1} e^{+}e^{-} annihilation data taken at center-of-mass energies from sqrt[s]=4.008 GeV to 4.600 with BESIII detector BEPCII storage ring. The X(3872) resonance is observed for first time in ωJ/ψ system a significance of more than 5σ. relative decay ratio X(3872)→ωJ/ψ and π^{+}π^{-}J/ψ measured be R=1.6_{-0.3}^{+0.4}±0.2, where uncertainty statistical second systematic (the same hereafter). sqrt[s]-dependent cross section...
The Born cross-sections and effective form factors for process $e^+e^-\to\Xi^-\bar{\Xi}^+$ are measured at eight center-of-mass energies between 2.644 3.080 GeV, using a total integrated luminosity of 363.9 pb$^{-1}$ $e^+e^-$ collision data collected with the BESIII detector BEPCII. After performing fit to cross-section $e^+e^-\to\Xi^-\bar{\Xi}^+$, no significant threshold effect is observed.
Using a total of 11.0 fb^{-1} e^{+}e^{-} collision data with center-of-mass energies between 4.009 and 4.6 GeV collected the BESIII detector at BEPCII, we measure fifteen exclusive cross sections effective form factors for process e^{+}e^{-}→Ξ^{-}Ξ[over ¯]^{+} by means single baryon-tag method. After performing fit to dressed section ¯]^{+}, no significant ψ(4230) or ψ(4260) resonance is observed in Ξ^{-}Ξ[over final states, upper limits 90% confidence level on Γ_{ee}B processes...
By analyzing 482 pb$^{-1}$ of $e^+e^-$ collision data collected at the center-of-mass energy $\sqrt s=4.009$ GeV with BESIII detector, we measure %absolute branching fractions for semi-leptonic decays $D_{s}^{+}\to \phi e^{+}\nu_{e}$, $\phi \mu^{+}\nu_{\mu}$, $\eta \mu^{+}\nu_{\mu}$ and $\eta'\mu^{+}\nu_{\mu}$ to be ${\mathcal B}(D_{s}^{+}\to\phi e^{+}\nu_{e})=(2.26\pm0.45\pm0.09)$\%, \mu^{+}\nu_{\mu})=(1.94\pm0.53\pm0.09)$\%, B}(D_{s}^{+}\to\eta \mu^{+}\nu_{\mu})=(2.42\pm0.46\pm0.11)$\%...
Using $5.2\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ ${e}^{+}{e}^{\ensuremath{-}}$ annihilation data samples collected with the BESIII detector, we measure cross sections of ${e}^{+}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}{K}_{S}^{0}{K}^{\ifmmode\pm\else\textpm\fi{}}{\ensuremath{\pi}}^{\ensuremath{\mp}}{\ensuremath{\pi}}^{0}$ and ${K}_{S}^{0}{K}^{\ifmmode\pm\else\textpm\fi{}}{\ensuremath{\pi}}^{\ensuremath{\mp}}\ensuremath{\eta}$ at center-of-mass energies from 3.90 to 4.60 GeV. In...
Using a sample of about 10^{10} J/ψ events collected at center-of-mass energy sqrt[s]=3.097 GeV with the BESIII detector, electromagnetic Dalitz decays J/ψ→e^{+}e^{-}π^{+}π^{-}η^{'}, η^{'}→γπ^{+}π^{-} and η^{'}→π^{+}π^{-}η, have been studied. The decay J/ψ→e^{+}e^{-}X(1835) is observed significance 15σ, also an e^{+}e^{-} invariant-mass dependent transition form factor presented for first time. intermediate states X(2120) X(2370) are in π^{+}π^{-}η^{'} spectrum significances 5.3σ 7.3σ....
Abstract Using a deep learning method to classify large amount of labelled remote sensing scene data produces good performance. However, it is challenging for based methods generalise classification tasks with limited data. Few‐shot allows neural networks unseen categories when confronted handful Currently, episodic on meta‐learning can effectively complete few‐shot classification, and training an encoder that conduct representation has become important component learning. An end‐to‐end...
Semantic segmentation of remote sensing urban scene imagery is a pixel-wise prediction, which applied to identify the land-cover or land-use category. However, semantic demands huge computation cost. In order reduce cost, common method introduce transformer and CNN hybrid have good trade-off between accuracy recent CNN-transformer methods often capture local-global context cross-window interaction information simultaneously. Then they fuse local feature, repeat global feature result in...
Abstract Due to the large computational and GPUs memory cost of semantic segmentation, some works focus on designing a lite weight model achieve good trade‐off between accuracy. A common method is combined CNN vision transformer. However, these methods ignore contextual information multi receptive fields. And existing often fail inject detailed losses in downsampling multi‐scale feature. To fix issues, we propose AG Self‐Attention, which Enhanced Atrous Self‐Attention (EASA), Gate Attention....
Using a sample of 106 million $\ensuremath{\psi}(3686)$ decays, $\ensuremath{\psi}(3686)\ensuremath{\rightarrow}\ensuremath{\gamma}{\ensuremath{\chi}}_{cJ}(J=0,1,2)$ and $\ensuremath{\psi}(3686)\ensuremath{\rightarrow}\ensuremath{\gamma}{\ensuremath{\chi}}_{cJ},{\ensuremath{\chi}}_{cJ}\ensuremath{\rightarrow}\ensuremath{\gamma}J/\ensuremath{\psi}(J=1,2)$ events are utilized to study inclusive ${\ensuremath{\chi}}_{cJ}\ensuremath{\rightarrow}\text{anything}$,...