Qilin Zhang

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We examine an under-explored visual recognition problem, where we have a main view along with an auxiliary view of visual information present in the training data, but merely the main view is available in the test data. To effectively leverage the auxiliary view to train a stronger classifier, we propose a collaborative auxiliary learning framework based on(More)
In the emerging Internet of Things (IoT), as a means to fulfill item-level lookup, apart from the functional requirements with high performance and robustness, lookup service or discovery service playing a critical role should meet security and privacy requirements. However, existing lookup service and discovery service of IoT mainly rely on a centralized(More)
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