Mengmeng Zhan

According to our database, Mengmeng Zhan authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Adaptive Multi-Modality Prompt Learning.

Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation.

Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis.

Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu

Inf. Process. Manag., May, 2023

CUSUM control schemes for monitoring Wiener processes.

Mengmeng Zhan, Liping Liu

Commun. Stat. Simul. Comput., January, 2023

Adaptive Multi-Modality Prompt Learning.

Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu

CoRR, 2023

2022

Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints.

Haiqi Zhang, Guangquan Lu, Mengmeng Zhan, Beixian Zhang

Neural Process. Lett., 2022

Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank.

Mengmeng Zhan, Jiangzhang Gan, Guangquan Lu, Yingying Wan

Multim. Tools Appl., 2022

MTGCN: A multi-task approach for node classification and link prediction in graph data.

Zongqian Wu, Mengmeng Zhan, Haiqi Zhang, Qimin Luo, Kun Tang

Inf. Process. Manag., 2022

Robust graph learning with graph convolutional network.

Yingying Wan, Changan Yuan, Mengmeng Zhan, Long Chen

Inf. Process. Manag., 2022

Multi-view Unsupervised Graph Representation Learning.

Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering.

Guoqiu Wen, Yonghua Zhu, Linjun Chen, Mengmeng Zhan, Yangcai Xie

Comput. J., 2021

A principal component analysis dominance mechanism based many-objective scheduling optimization.

Qiong Liu, Zhui Gui, Shuping Xiong, Mengmeng Zhan

Appl. Soft Comput., 2021

Adaptive Graph Learning for Semi-supervised Classification of GCNs.

Yingying Wan, Mengmeng Zhan, Yangding Li

Proceedings of the Databases Theory and Applications, 2021

2020

Using Locality Preserving Projections to Improve the Performance of Kernel Clustering.

Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu

Neural Process. Lett., 2020

Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection.

Guoqiu Wen, Yonghua Zhu, Mengmeng Zhan, Malong Tan

Neural Process. Lett., 2020

An Efficient Algorithm Combining Spectral Clustering with Feature Selection.

Qimin Luo, Guoqiu Wen, Leyuan Zhang, Mengmeng Zhan

Neural Process. Lett., 2020

2019

A Clustering Algorithm via Kernel Function and Locality Preserving Projections.

Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019