Partial clustering ensemble integrates multiple incomplete base clusterings to generate a consensus one. The key challenge of partial clustering ensemble is to infer the consensus clustering from the incomplete and unreliable base clusterings without access to the original data. To this end, we propose a novel partial...
Teng-Sheng Qi, Hao-Ye Qiu, Yuheng Jia et al.· IEEE Transactions on Neural...· 0 citations
To mitigate the vulnerability of deep neural networks in the face of adversarial attacks, a variety of defense strategies have been proposed in recent years. Adversarially robust distillation provides an effective approach by transferring knowledge from a robust teacher model to a student model. However, most existing...
Rihao Li, Ran Wang, Meng Hu· 2026 International Symposium...· 0 citations
A multicenter learning method that leverages the advantage of stochastic neural networks (SNNs) for feature uncertainty learning and induces multiple centers for each class of samples in latent space to fit data more delicately, named the multicenter SNN (MC-SNN).
Meng Hu, Ran Wang, Yanting Guo et al.· IEEE Transactions on Cyberne...· 0 citations
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