Bo An

CloudMeter: A Tool to Evaluate and Select the Desired VMs

2020

Nowadays, as more and more developers choose to deploy their work on the cloud, diverse workloads are being run in the cloud. Recognizing the diversity, cloud providers offer a rich selection of VMs with a …

Provably Consistent Partial-Label Learning

2020 · Neural Information Processing Systems

Partial-label learning (PLL) is a multi-class classification problem, where each training example is associated with a set of candidate labels. Even though many practical PLL methods have been proposed in the last two decades, there …

Partial-Label Regression

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Partial-label learning is a popular weakly supervised learning setting that allows each training example to be annotated with a set of candidate labels. Previous studies on partial-label learning only focused on the classification setting where …

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Backdoor attacks have posed a serious threat in machine learning models, wherein adversaries can poison training samples with maliciously crafted triggers to compromise the victim model. Advanced backdoor attack methods have focused on selectively poisoning …