Lei Zhang
Chinese Academy of Sciences
3956 Papers
11.3K Citations
Lei Zhang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 130, co-authored 2312 publications. Previous affiliations of Lei Zhang include Harbin University & Harbin Engineering University.
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Papers
Revisiting Prototypical Network for Cross Domain Few-Shot Learning
Fei Zhou,Peng Wang,Lei Zhang,Wei Wei,Yanning Zhang +4 more
- 01 Jun 2023
TL;DR: A Local-global Distillation Prototypical Network (LDP-net), which aims at establishing a feature metric generalizable to novel few-shot classification tasks using deep neural networks and proposes to update the local branch as Exponential Moving Average over training episodes, which makes it possible to better distill cross-episode knowledge and further enhance the generalization performance.
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Refined InSAR tropospheric delay correction for wide-area landslide identification and monitoring
TL;DR: Wang et al. as discussed by the authors proposed a multi-temporal moving-window linear model (MMLM) to correct the tropospheric delay distortion in alpine valley regions, which mitigates the influence of local turbulent phase, local landslide deformation, and phase unwrapping error on parameter estimation.
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Composition dependent-magnetocaloric effect and low room-temperature coefficient of resistivity study of iron-based antiperovskite compounds Sn1−xGaxCFe3 (0 ≤ x ≤ 1.0)
S. Lin,Bosen Wang,J. C. Lin,Lei Zhang,X. B. Hu,Y. N. Huang,W. J. Lu,Bangchuan Zhao,Peng Tong,W. H. Song,Yuping Sun +10 more
TL;DR: In this article, the magnetic/structural phase diagram of Sn1-xGaxCFe3 (0,≤ x ≤ 1) was presented.
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Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks.
TL;DR: An automated segmentation model based on deep neural networks for the breast cancer CTV in planning computed tomography (CT) that shows superior performance to that of previous state-of-the-art approaches.
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Palmprint Verification on Mobile Phones Using Accelerated Competitive Code
Marc Franzgrote,Christian Borg,Benjamin J. Tobias Ries,Stefan Bussemaker,Xiaoyi Jiang,Michael Fieleser,Lei Zhang +6 more
- 05 Dec 2011
TL;DR: A hand orientation normalization method is developed which makes the palmprint acquisition on a mobile phone practical for casual use and provides a credible indication of the potential of palmprint verification in a mobile context and motivate further work.
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