Hongyuan Zhang

According to our database, Hongyuan Zhang authored at least 27 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One.

Hongyuan Zhang, Yanan Zhu, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Pivotal-Aware Principal Component Analysis.

Xuelong Li, Pei Li, Hongyuan Zhang, Kangjia Zhu, Rui Zhang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Orthogonal subspace exploration for matrix completion.

Hongyuan Zhang, Ziheng Jiao, Xuelong Li

Pattern Recognit., 2024

Graph manifold learning with non-gradient decision layer.

Ziheng Jiao, Hongyuan Zhang, Rui Zhang, Xuelong Li

Neurocomputing, 2024

Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise.

Hongyuan Zhang, Yanchen Xu, Sida Huang, Xuelong Li

CoRR, 2024

CNN2GNN: How to Bridge CNN with GNN.

Ziheng Jiao, Hongyuan Zhang, Xuelong Li

CoRR, 2024

CNN to GNN: Unsupervised Multi-level Knowledge Learning.

Ziheng Jiao, Hongyuan Zhang, Xuelong Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Embedding Graph Auto-Encoder for Graph Clustering.

Hongyuan Zhang, Pei Li, Rui Zhang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Non-Graph Data Clustering via $\mathcal {O}(n)$O(n) Bipartite Graph Convolution.

Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Manifold Neural Network With Non-Gradient Optimization.

Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Toward Projected Clustering With Aggregated Mapping.

Hongyuan Zhang, Yanan Zhu, Xuelong Li

IEEE Trans. Image Process., 2023

Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning.

Xuelong Li, Hongyuan Zhang, Rui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Discretize Relaxed Solution of Spectral Clustering via a Non-Heuristic Algorithm.

Hongyuan Zhang, Xuelong Li

CoRR, 2023

Variational Positive-incentive Noise: How Noise Benefits Models.

Hongyuan Zhang, Sida Huang, Xuelong Li

CoRR, 2023

Learn Topological Representation with Flexible Manifold Layer.

Ziheng Jiao, Hongyuan Zhang, Xuelong Li

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure.

Rui Zhang, Hongyuan Zhang, Xuelong Li, Sheng Yang

IEEE Trans. Neural Networks Learn. Syst., 2022

Maximum Joint Probability With Multiple Representations for Clustering.

Rui Zhang, Hongyuan Zhang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Adaptive Graph Auto-Encoder for General Data Clustering.

Xuelong Li, Hongyuan Zhang, Rui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Manifold Learning with Graph Mining.

Xuelong Li, Ziheng Jiao, Hongyuan Zhang, Rui Zhang

CoRR, 2022

2021

Autoencoder Constrained Clustering With Adaptive Neighbors.

Xuelong Li, Rui Zhang, Qi Wang, Hongyuan Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

Robust Multi-Task Learning With Flexible Manifold Constraint.

Rui Zhang, Hongyuan Zhang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Robust multi-view fuzzy clustering via softmin.

Hongyuan Zhang, Rui Zhang, Xuelong Li, Yueshen Xu

Neurocomputing, 2021

AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution.

Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li

CoRR, 2021

Non-Gradient Manifold Neural Network.

Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li

CoRR, 2021

Enhanced Principal Component Analysis under A Collaborative-Robust Framework.

Rui Zhang, Hongyuan Zhang, Xuelong Li

CoRR, 2021

2020

Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization.

Rui Zhang, Xuelong Li, Hongyuan Zhang, Feiping Nie

IEEE Trans. Fuzzy Syst., 2020

Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing.

Xuelong Li, Hongyuan Zhang, Rui Zhang

CoRR, 2020