output
20022026
most citedA fast approach for overcomplete sparse decomposition based on smoothed L0 norm

1.1k citations

974 papers

quant-ph2026

Enhancing the security of coherent one-way quantum key distribution using CHSH correlations

Mahdi Shaban, Farnaz Farman, Alireza Bahrampour

The coherent one-way (COW) protocol is a quantum key distribution scheme that has attracted significant attention, leading to the development and commercialization of practical imp…

cs.DS2026

Online Preemptive Matching Revisited

Peter Kiss, Mohammad Sharifi

We study the online preemptive matching problem, in which the edges of a graph arrive sequentially and the algorithm must maintain a matching by accepting or rejecting arriving edg…

cs.MM2026

Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection

Elham Abolhasani, Maryam Ramezani, Hamid R. Rabiee

The rapid advancement of generative AI models is leading to more realistic deepfake media, encompassing the manipulation of audio, video, or both. This raises severe privacy and so…

quant-ph2026

Dissipation-Induced Deviations from Kibble-Zurek Scaling in Non-Hermitian Quantum Annealing

H. Najafzadeh, S. Sadeghizade, R. Jafari +1

We revisit the quantum annealing problem in the non-Hermitian transverse-field Ising model. We determine, both analytically and numerically, the intrinsic transition probabilities…

eess.SP2026★ 1 cited

Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO

Mehrdad Momen-Tayefeh, Mehrshad Momen-Tayefeh, Maryam Sabbaghian

Intelligent Reflecting Surfaces (IRSs) are a promising technology for enhancing the spectral and energy efficiency of millimeter-wave (mmWave) multiple-input multiple-output (MIMO)…

cs.CV2026

Optimizing Data Augmentation for Real-Time Small UAV Detection: A Lightweight Context-Aware Approach

Amir Zamani, Zeinab Abedini

Visual detection of Unmanned Aerial Vehicles (UAVs) is a critical task in surveillance systems due to their small physical size and environmental challenges. Although deep learning…