Zhiyuan Dang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Gaussian Process Regression

Vertically Partitioned Data

Subspace Clustering

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Zhiyuan Dang, Bin Gu, Cheng Deng, Heng Huang
Asynchronous Parallel Large-Scale Gaussian Process Regression. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Xu Yang, Cheng Deng, Zhiyuan Dang, Dacheng Tao
Deep Multiview Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CoRR (2022)
Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang
Scaling Up Generalized Kernel Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. CVPR (2021)
Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang
Doubly Contrastive Deep Clustering. CoRR (2021)
Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang
Nearest Neighbor Matching for Deep Clustering. CVPR (2021)
Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CIKM (2021)
Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. KDD (2020)
Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. CoRR (2020)
Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. CVPR (2020)