Li Zhang

ORCID: 0009-0009-7732-7435
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About
Contact & Profiles
Research Areas
  • Astrophysics and Cosmic Phenomena
  • Dark Matter and Cosmic Phenomena
  • Gamma-ray bursts and supernovae
  • Neutrino Physics Research
  • Particle physics theoretical and experimental studies
  • Lightning and Electromagnetic Phenomena
  • Radiation Therapy and Dosimetry
  • Particle Detector Development and Performance
  • Precipitation Measurement and Analysis
  • Terahertz technology and applications
  • Experimental and Theoretical Physics Studies
  • Pulsars and Gravitational Waves Research
  • Photoacoustic and Ultrasonic Imaging
  • Atomic and Subatomic Physics Research
  • Advanced X-ray and CT Imaging
  • Calibration and Measurement Techniques
  • Solar and Space Plasma Dynamics

Yunnan University
2021-2024

Harbin Institute of Technology
2024

Guangzhou University
2024

Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
2023

Instituto de Óptica "Daza de Valdés"
2023

Campbell Collaboration
2023

The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent Artificial General Intelligence (AGI). However, replicating such advancements in open-source models been challenging. This paper introduces InternLM2, an LLM that outperforms its predecessors comprehensive evaluations across 6 dimensions 30 benchmarks, long-context modeling, open-ended subjective through innovative pre-training optimization techniques. process InternLM2 is meticulously...

10.48550/arxiv.2403.17297 preprint EN arXiv (Cornell University) 2024-03-25

Passive millimeter-wave imaging is one of the most important approaches for personnel security inspection to detect concealed objects hidden under clothing. Many systems have been constructed and tried out experimentally in various real scenarios. However, plenty results show that some placed on body edge areas may low contrast are difficult detect. There different contrasts polarization images. In this article, we propose a physically-based subregional fusion method by modulating...

10.1109/tii.2024.3372010 article EN IEEE Transactions on Industrial Informatics 2024-03-18

The High Energy cosmic-Radiation Detection (HERD) facility has been proposed as a space cosmic-ray and gamma-ray detector, which will be installed on the China Space Station around 2027. HERD able to measure proton nuclei fluxes up cosmic ray knee region (about 1 PeV), electron + positron flux tens of TeV gamma rays above 100 MeV. CALO, homogeneous 3D segmented calorimeter, is core detector HERD. It consists about 7500 LYSO cubes with 3 cm side length, corresponding 55 radiation lengths (X0)...

10.22323/1.444.0097 article EN cc-by-nc-nd Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019) 2023-07-27

The classification of Gamma-Ray Bursts has long been an unresolved problem. Early and short burst based on duration is not convincing due to the significant overlap in plot, which leads different views results. We propose a new method Convolutional Neural Networks adopt sample including 3774 GRBs observed by Fermi-GBM address $T_\text{90}$ By using count maps that incorporate both temporal spectral features as inputs, we successfully classify 593 overlapping events into two distinct...

10.48550/arxiv.2412.05564 preprint EN arXiv (Cornell University) 2024-12-07
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