Miaomiao Li

58 papers A* 14B 1Misc 1Journal 38Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
A General Anchor-Based Framework for Scalable Fair Clustering.
AAAI
Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo
2026 A* conf
Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering.
AAAI
Renxiang Guan, Junhong Li, Siwei Wang, Tianrui Li, Dayu Hu, Miaomiao Li, Xinwang Liu
2026 A* conf
Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation.
AAAI
Taichun Zhou, Siwei Wang, Zhibin Dong, Jiaqi Jin, Ke Liang, Baili Xiao, Miaomiao Li, Xinwang Liu, En Zhu
2026 A* conf
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning.
AAAI
Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu
2026 A* conf
Parameter-Free Clustering via Self-Supervised Consensus Maximization.
AAAI
Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, Xinwang Liu
2026 J jnl
Tensor Multi-Rank Constraint Guided Anchor-Wise Adaptive Alignment for Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Jun Wang, Miaomiao Li, Zhenglai Li, Hao Yu, Suyuan Liu, Dayu Hu, Chang Tang, Xinwang Liu
2025 J jnl
A General Anchor-Based Framework for Scalable Fair Clustering.
CoRR
Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo
2025 J jnl
Address Anomalies at Critical Crossroads for Graph Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Junyi Yan, Enguang Zuo, Ke Liang, Meng Liu, Miaomiao Li, Xinwang Liu, Xiaoyi Lv, Kai Lu
2025 A* conf
DPFMVC: Dynamic Progressive Fusion for Multi-view Clustering.
ACM Multimedia
Taichun Zhou, Zhibin Dong, Siwei Wang, Ke Liang, Miaomiao Li, Xinwang Liu, En Zhu, Xiangjun Dong
2025 A* conf
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs.
ACM Multimedia
Yaowen Hu, Wenxuan Tu, Yue Liu, Miaomiao Li, Wenpeng Lu, Zhigang Luo, Xinwang Liu, Ping Chen
2025 J jnl
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs.
CoRR
Yaowen Hu, Wenxuan Tu, Yue Liu, Miaomiao Li, Wenpeng Lu, Zhigang Luo, Xinwang Liu, Ping Chen
2025 J jnl
From Concrete to Abstract: Multi-View Clustering on Relational Knowledge.
IEEE Trans. Pattern Anal. Mach. Intell.
Ke Liang, Lingyuan Meng, Hao Li, Jun Wang, Long Lan, Miaomiao Li, Xinwang Liu, Huaimin Wang
2025 J jnl
Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity.
IEEE Trans. Knowl. Data Eng.
Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Miaomiao Li, Xinwang Liu
2025 A* conf
Learning the Anchors with Similar Distributions to Original Data for Multi-view Clustering.
ACM Multimedia
Junpu Zhang, Shengju Yu, Suyuan Liu, Siwei Wang, Miaomiao Li, Xinwang Liu, En Zhu, Kunlun He
2025 J jnl
Multi-View Clustering via High-Order Bipartite Graph Learning and Tensor Low-Rank Representation.
IEEE Trans. Knowl. Data Eng.
Chuan Tang, Miaomiao Li, Jun Wang, Chang Tang, Jiahe Jiang, Tianyi Wang, En Zhu, Xinwang Liu
2025 A* conf
Multi-view Graph Clustering with Dual Relation Optimization for Remote Sensing Data.
ACM Multimedia
Renxiang Guan, Junhong Li, Siwei Wang, Wenxuan Tu, Miaomiao Li, En Zhu, Xinwang Liu, Ping Chen
2025 J jnl
Parameter-Free Clustering via Self-Supervised Consensus Maximization (Extended Version).
CoRR
Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, Xinwang Liu
2025 J jnl
Regularized Instance Weighting Multiview Clustering via Late Fusion Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Yi Zhang, Fengyu Tian, Chuan Ma, Miaomiao Li, Hengfu Yang, Zhe Liu, En Zhu, Xinwang Liu
2024 J jnl
A More Context-Aware Approach for Textual Adversarial Attacks Using Probability Difference-Guided Beam Search.
IEEE Trans. Knowl. Data Eng.
Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Zibo Yi, Mengxue Du, Miaomiao Li, Jie Liu, Zeyao Mo
2024 — conf
FEAttack: A Fast and Efficient Hard-Label Textual Attack Framework.
WASA (2)
Miaomiao Li, Jun Ma, Jie Yu, Shasha Li, Jing Wang, Zhuo Li, Huijun Liu, Xi Wang
2024 J jnl
Late Fusion Multiview Clustering via Min-Max Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Miaomiao Li, Xinwang Liu, Yi Zhang, Weixuan Liang
2024 B conf
Offline Textual Adversarial Attacks against Large Language Models.
IJCNN
Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Miaomiao Li, Xi Wang
2024 J jnl
Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph.
IEEE Trans. Neural Networks Learn. Syst.
Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu
2024 J jnl
Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao
2023 — conf
DADR: A Denoising Approach for Dense Retrieval Model Training.
APWeb/WAIM (3)
Mengxue Du, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Miaomiao Li, Bin Ji
2023 J jnl
Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization.
IEEE Trans. Cybern.
Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu
2023 — conf
QAE: A Hard-Label Textual Attack Considering the Comprehensive Quality of Adversarial Examples.
NLPCC (2)
Miaomiao Li, Jie Yu, Jun Ma, Shasha Li, Huijun Liu, Mengxue Du, Bin Ji
2023 J jnl
Simple multiple kernel k-means with kernel weight regularization.
Inf. Fusion
Miaomiao Li, Yi Zhang, Suyuan Liu, Zhe Liu, Xinzhong Zhu
2022 J jnl
Spare simple MKKM with semi-infinite linear program optimization.
Int. J. Intell. Syst.
Yuxin Huang, Miaomiao Li, Wenxuan Tu, Jiyuan Liu, Jiahao Ying
2022 J jnl
Textual adversarial attacks by exchanging text-self words.
Int. J. Intell. Syst.
Huijun Liu, Jie Yu, Jun Ma, Shasha Li, Bin Ji, Zibo Yi, Miaomiao Li, Long Peng, Xiaodong Liu
2021 J jnl
Efficient and Effective Regularized Incomplete Multi-View Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu
2021 J jnl
Gaussian Mixture Model Clustering with Incomplete Data.
ACM Trans. Multim. Comput. Commun. Appl.
Yi Zhang, Miaomiao Li, Siwei Wang, Sisi Dai, Lei Luo, En Zhu, Huiying Xu, Xinzhong Zhu, Chaoyun Yao, Haoran Zhou
2021 J jnl
Multi-View Clustering With Learned Bipartite Graph.
IEEE Access
Miaomiao Li, Weixuan Liang, Xinwang Liu
2021 J jnl
Partial multiview clustering with locality graph regularization.
Int. J. Intell. Syst.
Huiqiang Lian, Huiying Xu, Siwei Wang, Miaomiao Li, Xinzhong Zhu, Xinwang Liu
2020 J jnl
Absent Multiple Kernel Learning Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin
2020 J jnl
Adaptive Self-Paced Deep Clustering with Data Augmentation.
IEEE Trans. Knowl. Data Eng.
Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin
2020 J jnl
Anchor-Based Multiview Subspace Clustering With Diversity Regularization.
IEEE Multim.
Qiyuan Ou, Siwei Wang, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu
2020 J jnl
Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization.
IEEE Trans. Knowl. Data Eng.
Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang
2020 J jnl
Multiple Kernel $k$k-Means with Incomplete Kernels.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao
2020 J jnl
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin
2019 J jnl
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation.
IEEE Trans. Multim.
Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang
2019 J jnl
Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization.
IEEE Access
Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai
2019 J jnl
Efficient Multiple Kernel k-Means Clustering With Late Fusion.
IEEE Access
Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu
2019 A* conf
Efficient and Effective Incomplete Multi-View Clustering.
AAAI
Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao
2019 J jnl
K-Means Clustering With Incomplete Data.
IEEE Access
Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin
2019 J jnl
Late Fusion Incomplete Multi-View Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao
2019 J jnl
Learning a Joint Affinity Graph for Multiview Subspace Clustering.
IEEE Trans. Multim.
Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang
2019 J jnl
Robust Multi-View Clustering With a Unified Weight Learning Paradigm.
IEEE Access
Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang
2019 J jnl
Unsupervised feature selection via latent representation learning and manifold regularization.
Neural Networks
Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin
2018 J jnl
Consensus learning guided multi-view unsupervised feature selection.
Knowl. Based Syst.
Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu
2018 J jnl
Incremental multiple kernel extreme learning machine and its application in Robo-advisors.
Soft Comput.
Jingming Xue, Qiang Liu, Miaomiao Li, Xinwang Liu, Yongkai Ye, Siqi Wang, Jianping Yin
2018 A* conf
Localized Incomplete Multiple Kernel k-means.
IJCAI
Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao
2018 J jnl
Robust unsupervised feature selection via dual self-representation and manifold regularization.
Knowl. Based Syst.
Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li
2017 A* conf
Multiple Kernel k-Means with Incomplete Kernels.
AAAI
Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu
2017 A* conf
Optimal Neighborhood Kernel Clustering with Multiple Kernels.
AAAI
Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin
2016 A* conf
Multiple Kernel Clustering with Local Kernel Alignment Maximization.
IJCAI
Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu
2009 — conf
A Large Margin Classifier with Additional Features.
MLDM
Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li
2009 Misc conf
A Max-Margin Learning Algorithm with Additional Features.
FAW
Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang