Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. - Zhiyuan Dang; Cheng Deng; Xu Yang 019; Heng Huang (CVPR, 2020)

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. - Bin Gu 001; Zhiyuan Dang; Xiang Li 012; Heng Huang (KDD, 2020)

Large-Scale Kernel Method for Vertical Federated Learning. - Zhiyuan Dang; Bin Gu 001; Heng Huang (Federated Learning, 2020)

Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. - Qingsong Zhang; Bin Gu 001; Zhiyuan Dang; Cheng Deng; Heng Huang (CIKM, 2021)

SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. - Xu Yang 019; Cheng Deng; Zhiyuan Dang; Kun Wei; Junchi Yan (CVPR, 2021)

Nearest Neighbor Matching for Deep Clustering. - Zhiyuan Dang; Cheng Deng; Xu Yang 019; Kun Wei; Heng Huang (CVPR, 2021)

Doubly Contrastive Deep Clustering. - Zhiyuan Dang; Cheng Deng; Xu Yang 019; Heng Huang (CoRR, 2021)

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. - Zhiyuan Dang; Xiang Li 012; Bin Gu 001; Cheng Deng; Heng Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Scaling Up Generalized Kernel Methods. - Bin Gu 001; Zhiyuan Dang; Zhouyuan Huo; Cheng Deng; Heng Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep Multiview Collaborative Clustering. - Xu Yang 019; Cheng Deng; Zhiyuan Dang; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Asynchronous Parallel Large-Scale Gaussian Process Regression. - Zhiyuan Dang; Bin Gu 001; Cheng Deng; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)