Z.C. Li

ORCID: 0000-0002-3069-1215
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About
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Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Quantum Chromodynamics and Particle Interactions
  • Subtitles and Audiovisual Media
  • Laser Design and Applications
  • Internet Traffic Analysis and Secure E-voting
  • Nuclear physics research studies
  • Atmospheric and Environmental Gas Dynamics
  • Medical Imaging Techniques and Applications
  • Astronomical and nuclear sciences
  • Advanced X-ray and CT Imaging
  • Nuclear Physics and Applications
  • Radiation Detection and Scintillator Technologies
  • Spam and Phishing Detection
  • Spectroscopy and Laser Applications
  • Network Security and Intrusion Detection
  • Parallel Computing and Optimization Techniques

Institute of High Energy Physics
2000-2024

Institute of Information Engineering
2024

Chinese Academy of Sciences
2024

University of Chinese Academy of Sciences
2024

Institute of Modern Physics
2024

Shanghai Advanced Research Institute
2024

10.1016/j.nima.2025.170249 article EN Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 2025-01-29

A new isotope 203Ac was produced in the reaction 40Ca + 169Tm at beam energy of 226 MeV. One correlated α-decay chain attributed to 203Ac. The α-particle and half-life were determined be 8217(16) keV 56−26+269 μs, respectively. reduced width (δ2) deduced 1096−906+921 keV, which indicates a favored α decay. systematics δ2 single-particle levels indicate that state probably arises from intruder s1/2 configuration, shows an onset deformation Ac isotopes. proton separation Sp extracted as...

10.1016/j.physletb.2024.138503 article EN cc-by Physics Letters B 2024-02-02

Identifying VPN servers is a crucial task in various situations, such as geo-fraud detection, bot traffic analysis and network attack identification. Although numerous studies that focus on detection have achieved excellent performance closed-world scenarios, particularly those methods based deep learning, they may exhibit significant degradation due to changes environment. To mitigate this issue, few attempted use active probing detect servers. However, these still two limitations. They...

10.1145/3589334.3645552 article EN Proceedings of the ACM Web Conference 2022 2024-05-08

Diffusion models, known for their impressive image generation abilities, have played a pivotal role in the rise of visual text generation. Nevertheless, existing methods often focus on generating entire images with prompts, leading to imprecise control and limited practicality. A more promising direction is blending, which focuses seamlessly merging texts onto text-free backgrounds. However, blending struggle generate high-fidelity diverse due shortage backgrounds synthesis generalization...

10.48550/arxiv.2410.10168 preprint EN arXiv (Cornell University) 2024-10-14
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