Miaomiao Li

According to our database, Miaomiao Li authored at least 59 papers between 2009 and 2026.

Collaborative distances:

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

2026

Knowledge Graph Reasoning Based on Information Enhancement and Subgraph Alignment.

Miaomiao Li, Ke Liang, Yuping Lai, Xinwang Liu

IEEE Trans. Neural Networks Learn. Syst., May, 2026

Sample-Level Weighted and Structure-Enhanced Anchor Graph Learning for Scalable Multi-View Clustering.

Chuan Tang, Miaomiao Li, Jun Wang, Chang Tang, En Zhu, Xinwang Liu

IEEE Trans. Circuits Syst. Video Technol., May, 2026

Tensor Multi-Rank Constraint Guided Anchor-Wise Adaptive Alignment for Multi-View Clustering.

Jun Wang, Miaomiao Li, Zhenglai Li, Hao Yu, Suyuan Liu, Dayu Hu, Chang Tang, Xinwang Liu

IEEE Trans. Knowl. Data Eng., March, 2026

Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation.

Taichun Zhou, Siwei Wang, Zhibin Dong, Jiaqi Jin, Ke Liang, Baili Xiao, Miaomiao Li, Xinwang Liu, En Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Parameter-Free Clustering via Self-Supervised Consensus Maximization.

Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, Xinwang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

A General Anchor-Based Framework for Scalable Fair Clustering.

Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning.

Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering.

Renxiang Guan, Junhong Li, Siwei Wang, Tianrui Li, Dayu Hu, Miaomiao Li, Xinwang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Address Anomalies at Critical Crossroads for Graph Anomaly Detection.

Junyi Yan, Enguang Zuo, Ke Liang, Meng Liu, Miaomiao Li, Xinwang Liu, Xiaoyi Lv, Kai Lu

IEEE Trans. Knowl. Data Eng., December, 2025

Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity.

Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Miaomiao Li, Xinwang Liu

IEEE Trans. Knowl. Data Eng., December, 2025

Multi-View Clustering via High-Order Bipartite Graph Learning and Tensor Low-Rank Representation.

Chuan Tang, Miaomiao Li, Jun Wang, Chang Tang, Jiahe Jiang, Tianyi Wang, En Zhu, Xinwang Liu

IEEE Trans. Knowl. Data Eng., November, 2025

Parameter-Free Clustering via Self-Supervised Consensus Maximization (Extended Version).

Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, Xinwang Liu

CoRR, November, 2025

From Concrete to Abstract: Multi-View Clustering on Relational Knowledge.

Ke Liang, Lingyuan Meng, Hao Li, Jun Wang, Long Lan, Miaomiao Li, Xinwang Liu, Huaimin Wang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Regularized Instance Weighting Multiview Clustering via Late Fusion Alignment.

Yi Zhang, Fengyu Tian, Chuan Ma, Miaomiao Li, Hengfu Yang, Zhe Liu, En Zhu, Xinwang Liu

IEEE Trans. Neural Networks Learn. Syst., May, 2025

SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering.

Zeyu Zhu, Ke Liang, Lingyuan Meng, Meng Liu, Suyuan Liu, Renxiang Guan, Miaomiao Li, Wanwei Liu, Xinwang Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DPFMVC: Dynamic Progressive Fusion for Multi-view Clustering.

Taichun Zhou, Zhibin Dong, Siwei Wang, Ke Liang, Miaomiao Li, Xinwang Liu, En Zhu, Xiangjun Dong

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Learning the Anchors with Similar Distributions to Original Data for Multi-view Clustering.

Junpu Zhang, Shengju Yu, Suyuan Liu, Siwei Wang, Miaomiao Li, Xinwang Liu, En Zhu, Kunlun He

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs.

Yaowen Hu, Wenxuan Tu, Yue Liu, Miaomiao Li, Wenpeng Lu, Zhigang Luo, Xinwang Liu, Ping Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Multi-view Graph Clustering with Dual Relation Optimization for Remote Sensing Data.

Renxiang Guan, Junhong Li, Siwei Wang, Wenxuan Tu, Miaomiao Li, En Zhu, Xinwang Liu, Ping Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment.

Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao

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

Late Fusion Multiview Clustering via Min-Max Optimization.

Miaomiao Li, Xinwang Liu, Yi Zhang, Weixuan Liang

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

A More Context-Aware Approach for Textual Adversarial Attacks Using Probability Difference-Guided Beam Search.

Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Zibo Yi, Mengxue Du, Miaomiao Li, Jie Liu, Zeyao Mo

IEEE Trans. Knowl. Data Eng., June, 2024

Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph.

Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu

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

FEAttack: A Fast and Efficient Hard-Label Textual Attack Framework.

Miaomiao Li, Jun Ma, Jie Yu, Shasha Li, Jing Wang, Zhuo Li, Huijun Liu, Xi Wang

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

Offline Textual Adversarial Attacks against Large Language Models.

Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Miaomiao Li, Xi Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Simple multiple kernel k-means with kernel weight regularization.

Miaomiao Li, Yi Zhang, Suyuan Liu, Zhe Liu, Xinzhong Zhu

Inf. Fusion, December, 2023

Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization.

Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu

IEEE Trans. Cybern., June, 2023

QAE: A Hard-Label Textual Attack Considering the Comprehensive Quality of Adversarial Examples.

Miaomiao Li, Jie Yu, Jun Ma, Shasha Li, Huijun Liu, Mengxue Du, Bin Ji

Proceedings of the Natural Language Processing and Chinese Computing, 2023

DADR: A Denoising Approach for Dense Retrieval Model Training.

Mengxue Du, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Miaomiao Li, Bin Ji

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Textual adversarial attacks by exchanging text-self words.

Huijun Liu, Jie Yu, Jun Ma, Shasha Li, Bin Ji, Zibo Yi, Miaomiao Li, Long Peng, Xiaodong Liu

Int. J. Intell. Syst., December, 2022

Spare simple MKKM with semi-infinite linear program optimization.

Yuxin Huang, Miaomiao Li, Wenxuan Tu, Jiyuan Liu, Jiahao Ying

Int. J. Intell. Syst., 2022

2021

Gaussian Mixture Model Clustering with Incomplete Data.

Yi Zhang, Miaomiao Li, Siwei Wang, Sisi Dai, Lei Luo, En Zhu, Huiying Xu, Xinzhong Zhu, Chaoyun Yao, Haoran Zhou

ACM Trans. Multim. Comput. Commun. Appl., 2021

Efficient and Effective Regularized Incomplete Multi-View Clustering.

Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu

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

Partial multiview clustering with locality graph regularization.

Huiqiang Lian, Huiying Xu, Siwei Wang, Miaomiao Li, Xinzhong Zhu, Xinwang Liu

Int. J. Intell. Syst., 2021

Multi-View Clustering With Learned Bipartite Graph.

Miaomiao Li, Weixuan Liang, Xinwang Liu

IEEE Access, 2021

2020

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.

Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin

IEEE Trans. Neural Networks Learn. Syst., 2020

Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization.

Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang

IEEE Trans. Knowl. Data Eng., 2020

Adaptive Self-Paced Deep Clustering with Data Augmentation.

Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2020

Multiple Kernel $k$k-Means with Incomplete Kernels.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Absent Multiple Kernel Learning Algorithms.

Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Anchor-Based Multiview Subspace Clustering With Diversity Regularization.

Qiyuan Ou, Siwei Wang, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu

IEEE Multim., 2020

2019

Learning a Joint Affinity Graph for Multiview Subspace Clustering.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang

IEEE Trans. Multim., 2019

Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation.

Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang

IEEE Trans. Multim., 2019

Late Fusion Incomplete Multi-View Clustering.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Unsupervised feature selection via latent representation learning and manifold regularization.

Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin

Neural Networks, 2019

Efficient Multiple Kernel k-Means Clustering With Late Fusion.

Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu

IEEE Access, 2019

K-Means Clustering With Incomplete Data.

Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin

IEEE Access, 2019

Robust Multi-View Clustering With a Unified Weight Learning Paradigm.

Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang

IEEE Access, 2019

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

Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai

IEEE Access, 2019

Efficient and Effective Incomplete Multi-View Clustering.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Incremental multiple kernel extreme learning machine and its application in Robo-advisors.

Jingming Xue, Qiang Liu, Miaomiao Li, Xinwang Liu, Yongkai Ye, Siqi Wang, Jianping Yin

Soft Comput., 2018

Robust unsupervised feature selection via dual self-representation and manifold regularization.

Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li

Knowl. Based Syst., 2018

Consensus learning guided multi-view unsupervised feature selection.

Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu

Knowl. Based Syst., 2018

Localized Incomplete Multiple Kernel k-means.

Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Optimal Neighborhood Kernel Clustering with Multiple Kernels.

Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multiple Kernel k-Means with Incomplete Kernels.

Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Multiple Kernel Clustering with Local Kernel Alignment Maximization.

Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2009

A Large Margin Classifier with Additional Features.

Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Max-Margin Learning Algorithm with Additional Features.

Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang

Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009