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19982023
most citedA High-Performance Mid-infrared Optical Switch Enabled by Bulk Dirac Fermions in Cd3As2

221 citations · 1.4k across the 88 of their papers we have counts for

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Showing 2023Show all

18 papers · 1 filter

hep-ex2023★ 15 cited

Experimental Limits on Solar Reflected Dark Matter with a New Approach on Accelerated-Dark-Matter-Electron Analysis in Semiconductors

Z. Y. Zhang, L. T. Yang, Q. Yue +81

Recently a dark matter-electron (DM-electron) paradigm has drawn much attention. Models beyond the standard halo model describing DM accelerated by high energy celestial bodies are…

cs.CV2023

DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space

Liu Jun, Zhou Jiantao, Zeng Jiandian +1

This work investigates efficient score-based black-box adversarial attacks with a high Attack Success Rate (ASR) and good generalizability. We design a novel attack method based on…

cs.CV2023★ 5 cited

LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition

Haoxuan Qu, Xiaofei Hui, Yujun Cai +1

Open-set object recognition aims to identify if an object is from a class that has been encountered during training or not. To perform open-set object recognition accurately, a key…

hep-ex2023★ 13 cited

Projected WIMP sensitivity of the CDEX-50 dark matter experiment

X. P. Geng, L. T. Yang, Q. Yue +81

CDEX-50 is a next-generation project of the China Dark Matter Experiment (CDEX) that aims to search for dark matter using a 50-kg germanium detector array. This paper comprises a t…

cond-mat.mtrl-sci2023★ 5 cited

Localized High-Concentration Electrolytes Get More Localized Through Micelle-Like Structures

Corey M. Efaw, Qisheng Wu, Ningshengjie Gao +15

Liquid electrolytes in batteries are typically treated as macroscopically homogeneous ionic transport media despite having complex chemical composition and atomistic solvation stru…

cs.CV2023★ 2 cited

Learning Gabor Texture Features for Fine-Grained Recognition

Lanyun Zhu, Tianrun Chen, Jianxiong Yin +2

Extracting and using class-discriminative features is critical for fine-grained recognition. Existing works have demonstrated the possibility of applying deep CNNs to exploit featu…