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From the 2 of 12 papers with an AI index.

most citedA Robust EDM Optimization Approach for 3D Single-Source Localization with Angle and Range Measurements

1 citations

12 papers

cond-mat.mtrl-sci2026

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…

cs.CV2026

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…

cs.SE2026

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…

cs.DC2026

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…

eess.SP20261 cited

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…

cs.LG2026

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…