activity
20192026
collaborators

5 papers

cs.LG2026

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection

Xiaojing Chen, Jingqi Cheng, Xu Zhao +2

Deep learning-based Major Depressive Disorder (MDD) detection using Electroencephalography (EEG) is fundamentally constrained by the "small-sample dilemma." Prevailing generative d…

cs.IT2024

Cosine Annealing Optimized Denoising Diffusion Error Correction Codes

Congyang Ou, Xiaojing Chen, Wan Jiang

To address the issue of increased bit error rates during the later stages of linear search in denoising diffusion error correction codes, we propose a novel method that optimizes d…

cs.IT2023

New entanglement-assisted quantum codes from negacyclic codes

Xiaojing Chen, Xingbo Lu, Shixin Zhu +2

The theory of entanglement-assisted quantum error-correcting codes (EAQECCs) is a generalization of the standard stabilizer quantum error-correcting codes, which can be possibly co…

cs.IT2020

Cyclic codes and some new entanglement-assisted quantum MDS codes

Wan Jiang, Shixin Zhu, Xiaojing Chen

Entanglement-assisted quantum error correcting codes (EAQECCs) play a significant role in protecting quantum information from decoherence and quantum noise. Recently, constructing…

cs.IT2019

New entanglement-assisted quantum MDS codes with length

Shixin Zhu, Wan Jiang, Xiaojing Chen

The entanglement-assisted stabilizer formalism can transform arbitrary classical linear codes into entanglement-assisted quantum error correcting codes (EAQECCs). In this work, we…