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Miaomiao Li 0001
Person information
- affiliation: Changsha University, Changsha, China
Other persons with the same name
- Miaomiao Li — disambiguation page
- Miaomiao Li 0002 — Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
- Miaomiao Li 0003 — Beijing University of Posts and Telecommunications, Beijing, China
- Miaomiao Li 0004 — Nanjing Agricultural University, Nanjing, China
- Miaomiao Li 0005 — China University of Mining and Technology, Xuzhou, China
- Miaomiao Li 0007 — Institute of Software, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
- Miaomiao Li 0008 — Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China
- Miaomiao Li 0009 — Sun Yat-Sen University, Guangzhou, China
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2020 – today
- 2024
- [j29]Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Zibo Yi, Mengxue Du, Miaomiao Li, Jie Liu, Zeyao Mo:
A More Context-Aware Approach for Textual Adversarial Attacks Using Probability Difference-Guided Beam Search. IEEE Trans. Knowl. Data Eng. 36(6): 2316-2328 (2024) - [j28]Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu:
Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph. IEEE Trans. Neural Networks Learn. Syst. 35(1): 300-310 (2024) - [j27]Miaomiao Li, Xinwang Liu, Yi Zhang, Weixuan Liang:
Late Fusion Multiview Clustering via Min-Max Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9417-9427 (2024) - [j26]Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao:
Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15910-15919 (2024) - [c11]Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Miaomiao Li, Xi Wang:
Offline Textual Adversarial Attacks against Large Language Models. IJCNN 2024: 1-9 - [c10]Miaomiao Li, Jun Ma, Jie Yu, Shasha Li, Jing Wang, Zhuo Li, Huijun Liu, Xi Wang:
FEAttack: A Fast and Efficient Hard-Label Textual Attack Framework. WASA (2) 2024: 167-179 - 2023
- [j25]Miaomiao Li, Yi Zhang, Suyuan Liu, Zhe Liu, Xinzhong Zhu:
Simple multiple kernel k-means with kernel weight regularization. Inf. Fusion 100: 101902 (2023) - [j24]Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu:
Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization. IEEE Trans. Cybern. 53(6): 3479-3492 (2023) - [c9]Mengxue Du, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Miaomiao Li, Bin Ji:
DADR: A Denoising Approach for Dense Retrieval Model Training. APWeb/WAIM (3) 2023: 159-173 - [c8]Miaomiao Li, Jie Yu, Jun Ma, Shasha Li, Huijun Liu, Mengxue Du, Bin Ji:
QAE: A Hard-Label Textual Attack Considering the Comprehensive Quality of Adversarial Examples. NLPCC (2) 2023: 520-532 - 2022
- [j23]Yuxin Huang, Miaomiao Li, Wenxuan Tu, Jiyuan Liu, Jiahao Ying:
Spare simple MKKM with semi-infinite linear program optimization. Int. J. Intell. Syst. 37(2): 1113-1128 (2022) - [j22]Huijun Liu, Jie Yu, Jun Ma, Shasha Li, Bin Ji, Zibo Yi, Miaomiao Li, Long Peng, Xiaodong Liu:
Textual adversarial attacks by exchanging text-self words. Int. J. Intell. Syst. 37(12): 12212-12234 (2022) - 2021
- [j21]Miaomiao Li, Weixuan Liang, Xinwang Liu:
Multi-View Clustering With Learned Bipartite Graph. IEEE Access 9: 87952-87961 (2021) - [j20]Huiqiang Lian, Huiying Xu, Siwei Wang, Miaomiao Li, Xinzhong Zhu, Xinwang Liu:
Partial multiview clustering with locality graph regularization. Int. J. Intell. Syst. 36(6): 2991-3010 (2021) - [j19]Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu:
Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2634-2646 (2021) - [j18]Yi Zhang, Miaomiao Li, Siwei Wang, Sisi Dai, Lei Luo, En Zhu, Huiying Xu, Xinzhong Zhu, Chaoyun Yao, Haoran Zhou:
Gaussian Mixture Model Clustering with Incomplete Data. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 6:1-6:14 (2021) - 2020
- [j17]Qiyuan Ou, Siwei Wang, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu:
Anchor-Based Multiview Subspace Clustering With Diversity Regularization. IEEE Multim. 27(4): 91-101 (2020) - [j16]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao:
Multiple Kernel $k$k-Means with Incomplete Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1191-1204 (2020) - [j15]Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin:
Absent Multiple Kernel Learning Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1303-1316 (2020) - [j14]Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin:
Adaptive Self-Paced Deep Clustering with Data Augmentation. IEEE Trans. Knowl. Data Eng. 32(9): 1680-1693 (2020) - [j13]Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang:
Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Trans. Knowl. Data Eng. 32(9): 1747-1760 (2020) - [j12]Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin:
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1351-1362 (2020)
2010 – 2019
- 2019
- [j11]Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu:
Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access 7: 61109-61120 (2019) - [j10]Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin:
K-Means Clustering With Incomplete Data. IEEE Access 7: 69162-69171 (2019) - [j9]Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai:
Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. IEEE Access 7: 136322-136331 (2019) - [j8]Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang:
Robust Multi-View Clustering With a Unified Weight Learning Paradigm. IEEE Access 7: 177965-177973 (2019) - [j7]Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin:
Unsupervised feature selection via latent representation learning and manifold regularization. Neural Networks 117: 163-178 (2019) - [j6]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao:
Late Fusion Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2410-2423 (2019) - [j5]Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang:
Learning a Joint Affinity Graph for Multiview Subspace Clustering. IEEE Trans. Multim. 21(7): 1724-1736 (2019) - [j4]Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang:
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation. IEEE Trans. Multim. 21(11): 2837-2849 (2019) - [c7]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao:
Efficient and Effective Incomplete Multi-View Clustering. AAAI 2019: 4392-4399 - 2018
- [j3]Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li:
Robust unsupervised feature selection via dual self-representation and manifold regularization. Knowl. Based Syst. 145: 109-120 (2018) - [j2]Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu:
Consensus learning guided multi-view unsupervised feature selection. Knowl. Based Syst. 160: 49-60 (2018) - [j1]Jingming Xue, Qiang Liu, Miaomiao Li, Xinwang Liu, Yongkai Ye, Siqi Wang, Jianping Yin:
Incremental multiple kernel extreme learning machine and its application in Robo-advisors. Soft Comput. 22(11): 3507-3517 (2018) - [c6]Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao:
Localized Incomplete Multiple Kernel k-means. IJCAI 2018: 3271-3277 - 2017
- [c5]Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel k-Means with Incomplete Kernels. AAAI 2017: 2259-2265 - [c4]Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin:
Optimal Neighborhood Kernel Clustering with Multiple Kernels. AAAI 2017: 2266-2272 - 2016
- [c3]Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel Clustering with Local Kernel Alignment Maximization. IJCAI 2016: 1704-1710
2000 – 2009
- 2009
- [c2]Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang:
A Max-Margin Learning Algorithm with Additional Features. FAW 2009: 196-206 - [c1]Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li:
A Large Margin Classifier with Additional Features. MLDM 2009: 82-95
Coauthor Index
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