A5017227536- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Atomic and Subatomic Physics Research
- Black Holes and Theoretical Physics
- Nuclear physics research studies
- Medical Imaging Techniques and Applications
- Computational Physics and Python Applications
- Particle Accelerators and Free-Electron Lasers
- Particle Detector Development and Performance
- Advanced NMR Techniques and Applications
- Scientific Research and Discoveries
- Natural Language Processing Techniques
- Metabolomics and Mass Spectrometry Studies
- Computational Drug Discovery Methods
- Cosmology and Gravitation Theories
- AI in Service Interactions
- E-commerce and Technology Innovations
- Adversarial Robustness in Machine Learning
- Brain Tumor Detection and Classification
- Manufacturing Process and Optimization
- Face recognition and analysis
- Stochastic processes and statistical mechanics
University of Chinese Academy of Sciences
2021-2025
University of Florida
2024-2025
Chengdu University of Technology
2024-2025
Zhejiang A & F University
2025
University of Pittsburgh
2025
Institute of High Energy Physics
2021-2024
Fudan University
2024
Institute of Modern Physics
2024
Central South University
2024
Beihang University
2024
Net primary productivity (NPP) has been substantially changed under the intense oasification in urban agglomerations on northern slopes of mid-Tianshan Mountain (UANSTM) and climate change. However, temporal variations NPP remain unclear, relative contribution change annual variation is still debate. By using remote sensing data, reanalysis modified Carnegie–Ames-Stanford Approach (CASA) model, a machine learning method, we explored spatial–temporal UANSTM region quantified to from 2001...
Abstract Understanding clinical trajectories of sepsis patients is crucial for prognostication, resource planning, and to inform digital twin models critical illness. This study aims identify common based on dynamic assessment cardiorespiratory support using a validated electronic health record data that covers retrospective cohort 19,177 with admitted ICUs Mayo Clinic Hospitals over eight-year period. Patient were modeled from ICU admission up 14 days an unsupervised machine learning...
We present a search for axionlike particles, $a$, produced in photon-proton collisions at center-of-mass energy of approximately 4 GeV, focusing on the scenario where $a$-gluon coupling is dominant. The uses $a\ensuremath{\rightarrow}\ensuremath{\gamma}\ensuremath{\gamma}$ and $a\ensuremath{\rightarrow}{\ensuremath{\pi}}^{+}{\ensuremath{\pi}}^{\ensuremath{-}}{\ensuremath{\pi}}^{0}$ decays, data sample corresponding to an integrated luminosity $168\text{ }\text{...
Large language models (LLMs) have gained immense attention and are being increasingly applied in various domains. However, this technological leap forward poses serious security privacy concerns. This paper explores a novel approach to data stealing attacks by introducing an adaptive method extract private training from pre-trained LLMs via backdooring. Our mainly focuses on the scenario of model customization is conducted two phases, including backdoor activation, which allow for extraction...
We report on the measurement of spin density matrix elements $\mathrm{\ensuremath{\Lambda}}(1520)$ in photoproduction reaction $\ensuremath{\gamma}p\ensuremath{\rightarrow}\mathrm{\ensuremath{\Lambda}}(1520){K}^{+}$, via its subsequent decay to ${K}^{\ensuremath{-}}p$. The was performed as part GlueX experimental program Hall D at Jefferson Laboratory using a linearly polarized photon beam with...
The application of predictive algorithms has penetrated into various fields, and their applications are becoming increasingly widespread in information learning. popularization online learning models methods allows learners to utilize diverse resources, develop knowledge skills, grow rapidly However, the rapid increase resources also brought huge challenges learning, requiring more efficient methods. At this time, have emerged. Predictive can analyze evaluate learners' historical records...
In recent years, with the rapid development of modern technology and continuous promotion IT, IT has been widely applied in performing arts. Information management become most practical effective method means performance art training. However, exponential growth various data volumes, demand for computing processing capabilities, as well speed, massive amounts information is also increasing. This paper proposed a platform based network security solution, established complete policy system,...