Miaomiao Li

Orcid: 0000-0001-7678-687X

Affiliations:
  • Changsha University, Changsha, China


According to our database1, Miaomiao Li authored at least 40 papers between 2009 and 2024.

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

2024
Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Late Fusion Multiview Clustering via Min-Max Optimization.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

A More Context-Aware Approach for Textual Adversarial Attacks Using Probability Difference-Guided Beam Search.
IEEE Trans. Knowl. Data Eng., June, 2024

Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

FEAttack: A Fast and Efficient Hard-Label Textual Attack Framework.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

Offline Textual Adversarial Attacks against Large Language Models.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Simple multiple kernel k-means with kernel weight regularization.
Inf. Fusion, December, 2023

Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization.
IEEE Trans. Cybern., June, 2023

QAE: A Hard-Label Textual Attack Considering the Comprehensive Quality of Adversarial Examples.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

DADR: A Denoising Approach for Dense Retrieval Model Training.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
Textual adversarial attacks by exchanging text-self words.
Int. J. Intell. Syst., December, 2022

Spare simple MKKM with semi-infinite linear program optimization.
Int. J. Intell. Syst., 2022

2021
Gaussian Mixture Model Clustering with Incomplete Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Efficient and Effective Regularized Incomplete Multi-View Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Partial multiview clustering with locality graph regularization.
Int. J. Intell. Syst., 2021

Multi-View Clustering With Learned Bipartite Graph.
IEEE Access, 2021

2020
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization.
IEEE Trans. Knowl. Data Eng., 2020

Adaptive Self-Paced Deep Clustering with Data Augmentation.
IEEE Trans. Knowl. Data Eng., 2020

Multiple Kernel $k$k-Means with Incomplete Kernels.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Absent Multiple Kernel Learning Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Anchor-Based Multiview Subspace Clustering With Diversity Regularization.
IEEE Multim., 2020

2019
Learning a Joint Affinity Graph for Multiview Subspace Clustering.
IEEE Trans. Multim., 2019

Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation.
IEEE Trans. Multim., 2019

Late Fusion Incomplete Multi-View Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Unsupervised feature selection via latent representation learning and manifold regularization.
Neural Networks, 2019

Efficient Multiple Kernel k-Means Clustering With Late Fusion.
IEEE Access, 2019

K-Means Clustering With Incomplete Data.
IEEE Access, 2019

Robust Multi-View Clustering With a Unified Weight Learning Paradigm.
IEEE Access, 2019

Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization.
IEEE Access, 2019

Efficient and Effective Incomplete Multi-View Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incremental multiple kernel extreme learning machine and its application in Robo-advisors.
Soft Comput., 2018

Robust unsupervised feature selection via dual self-representation and manifold regularization.
Knowl. Based Syst., 2018

Consensus learning guided multi-view unsupervised feature selection.
Knowl. Based Syst., 2018

Localized Incomplete Multiple Kernel k-means.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Optimal Neighborhood Kernel Clustering with Multiple Kernels.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multiple Kernel k-Means with Incomplete Kernels.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Multiple Kernel Clustering with Local Kernel Alignment Maximization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2009
A Large Margin Classifier with Additional Features.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Max-Margin Learning Algorithm with Additional Features.
Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009


  Loading...