Hongyuan Zhang

Orcid: 0000-0003-4274-7332

Affiliations:
  • University of Hong Kong, Hong Kong
  • Northwestern Polytechnical University, Xi'an, China (PhD 2024)


According to our database1, Hongyuan Zhang authored at least 61 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification.
CoRR, May, 2026

Safeguarding Text-to-Image Generative Models Against Unauthorized Knowledge Distillation.
CoRR, May, 2026

Batch Loss Score for Dynamic Data Pruning.
CoRR, April, 2026

VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory.
CoRR, March, 2026

Crab<sup>+</sup>: A Scalable and Unified Audio-Visual Scene Understanding Model with Explicit Cooperation.
CoRR, March, 2026

AHAP: Reconstructing Arbitrary Humans from Arbitrary Perspectives with Geometric Priors.
CoRR, February, 2026

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning.
Trans. Mach. Learn. Res., 2026

Explore How to Inject Beneficial Noise in MLLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

CoLM: Collaborative Large Models via a Client-Server Paradigm.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Rectified Noise: A Generative Model Using Positive-incentive Noise.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Diffusion Models.
CoRR, December, 2025

SignEye: Traffic Sign Interpretation From Vehicle First-Person View.
IEEE Trans. Intell. Transp. Syst., November, 2025

Multimodal Continual Learning with MLLMs from Multi-scenario Perspectives.
CoRR, November, 2025

GRPO-RM: Fine-Tuning Representation Models via GRPO-Driven Reinforcement Learning.
CoRR, November, 2025

CNN2GNN: How to Bridge CNN With GNN.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models.
CoRR, October, 2025

Object-AVEdit: An Object-level Audio-Visual Editing Model.
CoRR, October, 2025

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

Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning.
CoRR, September, 2025

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

Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance.
CoRR, 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

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

Learn Beneficial Noise as Graph Augmentation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Growing a Twig to Accelerate Large Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Enhance Vision-Language Alignment with Noise.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

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

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 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

2019
Image Recognition by Predicted User Click Feature With Multidomain Multitask Transfer Deep Network.
IEEE Trans. Image Process., 2019


  Loading...