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Your search keyword '"He, Jiabei"' showing total 267 results
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267 results on '"He, Jiabei"'

2. Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning

Author

He, Jiabei, Shen, Yang, Wei, Xiu-Shen, and Wu, Ye

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Fine-Grained Image Recognition (FGIR) is a fundamental and challenging task in computer vision and multimedia that plays a crucial role in Intellectual Economy and Industrial Internet applications. However, the absence of a unified open-source software library covering various paradigms in FGIR poses a significant challenge for researchers and practitioners in the field. To address this gap, we present Hawkeye, a PyTorch-based library for FGIR with deep learning. Hawkeye is designed with a modular architecture, emphasizing high-quality code and human-readable configuration, providing a comprehensive solution for FGIR tasks. In Hawkeye, we have implemented 16 state-of-the-art fine-grained methods, covering 6 different paradigms, enabling users to explore various approaches for FGIR. To the best of our knowledge, Hawkeye represents the first open-source PyTorch-based library dedicated to FGIR. It is publicly available at https://github.com/Hawkeye-FineGrained/Hawkeye/, providing researchers and practitioners with a powerful tool to advance their research and development in the field of FGIR., Comment: ACM Multimedia 2023 Open Source Software Competition Winner Entry. X.-S. Wei is the corresponding author

Published
2023

10. A Stochastic Gradient Descent Algorithm Based on Adaptive Differential Privacy

Author

Deng, Yupeng, Li, Xiong, He, Jiabei, Liu, Yuzhen, Liang, Wei, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Gao, Honghao, editor, Wang, Xinheng, editor, Wei, Wei, editor, and Dagiuklas, Tasos, editor

Published
2022
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26. Influence of ion‐induced lattice stress and phase transition on the irradiation resistance of high‐entropy ceramics.

Author

He, Jiabei, Song, Mengshan, Yang, Ming, and Zhu, Miaomiao

Subjects
*PHASE transitions, *FOURIER transforms, *CERAMICS, *MIXING height (Atmospheric chemistry), *IRRADIATION, *MIXED crystals, *MAGNETIC entropy
Abstract

The influence of ion irradiation on intrinsic lattice stress and phase transition is closely related to the irradiation resistance of high‐entropy ceramics. In this study, the ion‐induced response of high‐entropy‐stabilized o‐(ZrHfTiSn)O2 ceramic was investigated under Au2+ irradiation with different fluences. The results revealed that high‐fluence irradiation caused the minimal (orthorhombic‐to‐triclinic) phase transformation underneath the ion‐induced amorphous layer via. fast fourier transformation (FFT) pattern. The cation recombination led to cation rearrangement followed by the increase of lattice expansion induced stress. The lattice stability of residual crystal grains in the mixed layer was significantly improved after lattice rearrangement. This was evidenced by the fact that the X‐ray diffraction profile of the lattice remained unchanged, whereas the selected area electron diffraction (SAED) image exhibited drastic variations with the increase of irradiation fluence. Therefore, irradiation‐induced lattice rearrangement seems to be a reliable way to improve radiation resistance of high‐entropy ceramics. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Chorus wave properties and background plasma parameters data for article 'Statistical Properties of Lower Band Rising Tone Chorus Waves'

Author

He, Jiabei

Abstract

The data are the chorus wave properties:time duration (s), chirping rate (Hz/s), frequency width (Hs),maximum amplitude (nT), L-shell, and MLT.We analyze 8 years rising tone lower-band chorus events from 2012 to 2019. Thedata is from burst mode waveform of Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) instrument onboard the Van Allen Probe A. The background plasma parameters are:\(f_{\rm pe}/f_{\rm ce}\)and \(\beta_{\perp}\). In fig1.mat, "chorus_number_bins" is the number of chorus events in each bins. In fig2.mat, the "InitialTime" is the initial time ofvalid waveform.In fig3.mat, we show the mean value of wave properties in each L-MLT bins,the unit of time duration is ms. The "ratio_mean_bins" is the mean value of\(f_{pe}/f_{ce}\)in each bin. We use\(f_{ce }\)to normalize the chorustime duration, chirping rate, and frequency width. Wave amplitude is normalized by the equatorial ambient magnetic field strength.

Published
2023
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