no code implementations • 19 Mar 2022 • Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang
Based on that, we propose a novel and practical VFL framework with black-box models, which is inseparably interconnected to the promising properties of ZOO.
1 code implementation • CVPR 2021 • Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan
Specifically, the Identity Aggregation is applied to extract semantic features from labeled nodes, the Semantic Alignment is utilized to align node features obtained from different aspects using the class central similarity.
1 code implementation • CVPR 2021 • Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang
Specifically, for the local level, we match the nearest neighbors based on batch embedded features, as for the global one, we match neighbors from overall embedded features.
1 code implementation • 9 Mar 2021 • Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang
In this paper, we present a novel Doubly Contrastive Deep Clustering (DCDC) framework, which constructs contrastive loss over both sample and class views to obtain more discriminative features and competitive results.
no code implementations • 14 Aug 2020 • Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
In this paper, we focus on nonlinear learning with kernels, and propose a federated doubly stochastic kernel learning (FDSKL) algorithm for vertically partitioned data.
no code implementations • CVPR 2020 • Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang
To tackle this issue, deep subspace clustering (DSC) networks based on deep autoencoder (DAE) have been proposed, which non-linearly map the raw form data into a latent space well-adapted to subspace clustering.