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ORCIDMengmeng Zhan
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2020 – today
- 2024
[c5]Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu:
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. IJCAI 2024: 1643-1651- [c4]Zongqian Wu
, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. ACM Multimedia 2024: 8672-8680 - 2023
- [j11]Mengmeng Zhan, Liping Liu:
CUSUM control schemes for monitoring Wiener processes. Commun. Stat. Simul. Comput. 52(1): 161-174 (2023) - [j10]Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu:
IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis. Inf. Process. Manag. 60(3): 103258 (2023) - [i1]Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. CoRR abs/2312.00823 (2023) - 2022
- [j9]Zongqian Wu, Mengmeng Zhan, Haiqi Zhang, Qimin Luo, Kun Tang:
MTGCN: A multi-task approach for node classification and link prediction in graph data. Inf. Process. Manag. 59(3): 102902 (2022) - [j8]Yingying Wan, Changan Yuan, Mengmeng Zhan, Long Chen:
Robust graph learning with graph convolutional network. Inf. Process. Manag. 59(3): 102916 (2022) - [j7]Mengmeng Zhan, Jiangzhang Gan, Guangquan Lu, Yingying Wan:
Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank. Multim. Tools Appl. 81(24): 34183-34194 (2022) - [j6]Haiqi Zhang, Guangquan Lu, Mengmeng Zhan, Beixian Zhang:
Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints. Neural Process. Lett. 54(4): 2645-2656 (2022) - [c3]Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu:
Multi-view Unsupervised Graph Representation Learning. IJCAI 2022: 2987-2993 - 2021
- [j5]Qiong Liu, Zhui Gui, Shuping Xiong, Mengmeng Zhan:
A principal component analysis dominance mechanism based many-objective scheduling optimization. Appl. Soft Comput. 113(Part): 107931 (2021) - [j4]Guoqiu Wen, Yonghua Zhu, Linjun Chen, Mengmeng Zhan, Yangcai Xie:
Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering. Comput. J. 64(7): 993-1004 (2021) - [c2]Yingying Wan, Mengmeng Zhan, Yangding Li:
Adaptive Graph Learning for Semi-supervised Classification of GCNs. ADC 2021: 13-22 - 2020
- [j3]Guoqiu Wen, Yonghua Zhu, Mengmeng Zhan, Malong Tan:
Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection. Neural Process. Lett. 52(3): 1793-1809 (2020) - [j2]Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu:
Using Locality Preserving Projections to Improve the Performance of Kernel Clustering. Neural Process. Lett. 52(3): 1827-1842 (2020) - [j1]Qimin Luo, Guoqiu Wen, Leyuan Zhang, Mengmeng Zhan:
An Efficient Algorithm Combining Spectral Clustering with Feature Selection. Neural Process. Lett. 52(3): 1913-1925 (2020)
2010 – 2019
- 2019
- [c1]Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu:
A Clustering Algorithm via Kernel Function and Locality Preserving Projections. SSCI 2019: 2620-2625
Coauthor Index
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