I am a Ph.D. candidate of School of Electronic Engineering at Xidian University. My supervisor is Prof. Cheng Deng. My research interests are Machine Learning and Pattern Recognition.

News

  • Aut. 14, 2022, one paper was accepted to TNNLS.
  • Oct. 26, 2021, one paper was accepted to CIKM 2021.
  • Jul. 02, 2021, one paper was accepted to TNNLS.
  • Mar. 01, 2021, two papers were accepted to CVPR 2021 (~27% acceptance rate)
  • Jan. 19, 2021, one paper was accepted to TPAMI.
  • Sep. 05, 2020, one paper was accepted to TPAMI.
  • May. 16, 2020, one paper was accepted to KDD 2020 Applied Data Science Track.
  • Feb. 24, 2020, one paper was accepted to CVPR 2020 (~22% acceptance rate).

Recent Publications

Journal

Zhiyuan Dang, B. Gu, C. Deng and H. Huang. Asynchronous Parallel Large-Scale Gaussian Process Regression. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.

X. Yang, C. Deng, Zhiyuan Dang and D. Tao. Deep Multi-View Collaborative Clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.

B. Gu, Zhiyuan Dang, Z. Huo, C. Deng and H. Huang. Scaling Up Generalized Kernel Methods. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

Zhiyuan Dang, X. Li, B. Gu, C. Deng and H. Huang. Large Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. [Code]

Conference

Q. Zhang, Bin Gu, Zhiyuan Dang, C. Deng and H. Huang. Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm, In 30th ACM International Conference on Information & Knowledge Management (CIKM), 2021.

Zhiyuan Dang, C. Deng, X. Yang, K. Wei and H. Huang. Nearest Neighbor Matching for Deep Clustering, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

X. Yang, C. Deng, Zhiyuan Dang, K. Wei and J. Yan. Learning Semantic Alignment for Graph Convolution Network, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

B. Gu, Zhiyuan Dang, X. Li and H. Huang. Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data, In 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.

Zhiyuan Dang, C. Deng, X. Yang and H. Huang, Multi-Scale Fusion Subspace Clustering Using Similarity Constraint, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

Firends

Chao Li(Xidian University)

De Xie(Xidian University)

Hao Wang(Xidian University)

Jiexi Yan(Xidian University)

Kun Wei(Xidian University)

Yang Xu(Xidian university)