10 citations · 14 across the 2 of their papers we have counts for
3 papers
quant-ph2025
Quantum Probabilistic Label Refining: Enhancing Label Quality for Robust Image Classification
Fang Qi, Lu Peng, Zhengming Ding
Learning with softmax cross-entropy on one-hot labels often leads to overconfident predictions and poor robustness under noise or perturbations. Label smoothing mitigates this by r…
quant-ph2022★ 10 cited
Quantum Vulnerability Analysis to Accurate Estimate the Quantum Algorithm Success Rate
Fang Qi, Kaitlin N. Smith, Travis LeCompte +4
While quantum computers provide exciting opportunities for information processing, they currently suffer from noise during computation that is not fully understood. Incomplete nois…
eess.SP2020★ 4 cited
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks
Haoqiang Guo, Lu Peng, Jian Zhang +2
Recent studies identify that Deep learning Neural Networks (DNNs) are vulnerable to subtle perturbations, which are not perceptible to human visual system but can fool the DNN mode…