Hongyuan Zhang

Orcid: 0000-0003-4274-7332

Affiliations:
  • Northwestern Polytechnical University, Xi'an, Shaanxi, China


According to our database1, Hongyuan Zhang authored at least 39 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Variational Positive-Incentive Noise: How Noise Benefits Models.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Deep Graph Multi-View Representation Learning With Self-Augmented View Fusion.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

Graph Convolutional Network With Self-Augmented Weights for Semi-Supervised Multi-View Learning.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

AI Flow: Perspectives, Scenarios, and Approaches.
CoRR, June, 2025

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning.
CoRR, June, 2025

AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory.
CoRR, May, 2025

AnchorFormer: Differentiable anchor attention for efficient vision transformer.
Pattern Recognit. Lett., 2025

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Text2World: Benchmarking Large Language Models for Symbolic World Model Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Enhance Vision-Language Alignment with Noise.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Discretize Relaxed Solution of Spectral Clustering via a Nonheuristic Algorithm.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Pivotal-Aware Principal Component Analysis.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Orthogonal subspace exploration for matrix completion.
Pattern Recognit., 2024

Graph manifold learning with non-gradient decision layer.
Neurocomputing, 2024

Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise.
CoRR, 2024

CNN2GNN: How to Bridge CNN with GNN.
CoRR, 2024

CNN to GNN: Unsupervised Multi-level Knowledge Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Embedding Graph Auto-Encoder for Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Non-Graph Data Clustering via $\mathcal {O}(n)$O(n) Bipartite Graph Convolution.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Manifold Neural Network With Non-Gradient Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Toward Projected Clustering With Aggregated Mapping.
IEEE Trans. Image Process., 2023

Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Discretize Relaxed Solution of Spectral Clustering via a Non-Heuristic Algorithm.
CoRR, 2023

Variational Positive-incentive Noise: How Noise Benefits Models.
CoRR, 2023

Learn Topological Representation with Flexible Manifold Layer.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure.
IEEE Trans. Neural Networks Learn. Syst., 2022

Maximum Joint Probability With Multiple Representations for Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Adaptive Graph Auto-Encoder for General Data Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Manifold Learning with Graph Mining.
CoRR, 2022

2021
Autoencoder Constrained Clustering With Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst., 2021

Robust Multi-Task Learning With Flexible Manifold Constraint.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Robust multi-view fuzzy clustering via softmin.
Neurocomputing, 2021

AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution.
CoRR, 2021

Non-Gradient Manifold Neural Network.
CoRR, 2021

Enhanced Principal Component Analysis under A Collaborative-Robust Framework.
CoRR, 2021

2020
Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization.
IEEE Trans. Fuzzy Syst., 2020

Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing.
CoRR, 2020


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