Qinghai Zheng

Orcid: 0000-0002-8684-1577

According to our database1, Qinghai Zheng authored at least 28 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
MCoCo: Multi-level Consistency Collaborative multi-view clustering.
Expert Syst. Appl., March, 2024

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Semantically consistent multi-view representation learning.
Knowl. Based Syst., October, 2023

Generalized Label Enhancement With Sample Correlations.
IEEE Trans. Knowl. Data Eng., 2023

Graph-Guided Unsupervised Multiview Representation Learning.
IEEE Trans. Circuits Syst. Video Technol., 2023

Comprehensive Multi-view Representation Learning.
Inf. Fusion, 2023

Multi-view Semantic Consistency based Information Bottleneck for Clustering.
CoRR, 2023

MCoCo: Multi-level Consistency Collaborative Multi-view Clustering.
CoRR, 2023

Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Label Information Bottleneck for Label Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multi-Level Query Interaction for Temporal Language Grounding.
IEEE Trans. Intell. Transp. Syst., 2022

Collaborative Unsupervised Multi-View Representation Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Large-Scale Multi-View Clustering via Fast Essential Subspace Representation Learning.
IEEE Signal Process. Lett., 2022

Essential multi-view graph learning for clustering.
J. Ambient Intell. Humaniz. Comput., 2022

Orthogonal multi-view tensor-based learning for clustering.
Neurocomputing, 2022

Semi-Supervised Label Distribution Learning with Co-regularization.
Neurocomputing, 2022

Multi-view Subspace Clustering with View Correlations via low-rank tensor learning.
Comput. Electr. Eng., 2022

2021
Bidirectional loss function for Label Enhancement and distribution learning.
Knowl. Based Syst., 2021

Multi-view subspace clustering networks with local and global graph information.
Neurocomputing, 2021

Query-graph with Cross-gating Attention Model for Text-to-Audio Grounding.
CoRR, 2021

Multiview spectral clustering via complementary information.
Concurr. Comput. Pract. Exp., 2021

2020
Constrained bilinear factorization multi-view subspace clustering.
Knowl. Based Syst., 2020

Feature concatenation multi-view subspace clustering.
Neurocomputing, 2020

Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering.
CoRR, 2020

Multi-view Hierarchical Clustering.
CoRR, 2020

Consistent and Complementary Graph Regularized Multi-view Subspace Clustering.
CoRR, 2020

Label Enhancement with Sample Correlations via Low-Rank Representation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Feature Concatenation Multi-view Subspace Clustering.
CoRR, 2019


  Loading...