From the 2 of 12 papers with an AI index.
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- Beijing Institute of TechnologyCN2 papers
- Hong Kong University of Science and TechnologyHK2 papers
- Beihang UniversityCN1 paper
- China Mobile (China)CN1 paper
- Chinese University of Hong KongHK1 paper
- Collaborative Innovation Center of Advanced MicrostructuresCN1 paper
- Guangdong University of TechnologyCN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Macquarie UniversityAU1 paper
- Microsemi (Canada)CA1 paper
- Monash UniversityAU1 paper
- Nanjing University of Science and TechnologyCN1 paper
12 papers
Room-temperature ferroelectrically switchable quantum geometry in few-layer WTe2 for complementary in-memory computing
Ruihan Wang, Pengfei Wang, Haoyun Chen +10
Quantum geometry, describing the inherent geometric structure of electron wavefunctions in momentum space, transcends the traditional charge degree of freedom and provides a novel…
Perspective-Invariant Attack with Enhanced Transferability of Adversarial Examples
Kaisheng Liang, Yiming Cao, Bin Xiao
Adversarial examples generated on a surrogate deep neural network (DNN) can often successfully fool other black-box DNN models. This cross-model transferability poses serious secur…
NotDec: WebAssembly Decompilation With Inter-Procedural Type Recovery
Jikai Wang, Ningyu He, Tianming Liu +2
With WebAssembly widely supported in browsers, containers, IoT devices, and serverless platforms and increasingly adopted as a universal low-level bytecode standard, auditing its h…
Collaborative Orbital Edge Intelligence: A Decentralized Paradigm for Energy-Efficient Computing in Space
Yuvraj Sahni, Jiannong Cao, Fu Xiao
In recent years, Low Earth Orbit (LEO) satellites have been increasingly deployed to enable connectivity in remote and disaster-prone areas. Researchers have proposed Orbital Edge…
A Robust EDM Optimization Approach for 3D Single-Source Localization with Angle and Range Measurements
Mingyu Zhao, Qingna Li, Hou-Duo Qi
The paper proposes a robust Euclidean distance matrix optimization method that jointly uses range and angle data with an L1-norm criterion to improve 3D single-source localization…
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation
Kun Fang, Qinghua Tao, Mingzhen He +6
The paper proposes a kernel PCA based method for out-of-distribution detection that learns a discriminative non-linear subspace using a newly designed Cosine-Gaussian kernel and in…