Mengmeng Zhan

According to our database, Mengmeng Zhan authored at least 24 papers between 2019 and 2026.

Collaborative distances:

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

2026

Dual transferable knowledge interaction for source-free domain adaptation.

Mengmeng Zhan, Zongqian Wu, Jiaying Yang, Lin Peng, Jialie Shen, Xiaofeng Zhu

Inf. Process. Manag., 2026

2025

The role of explained actions and reactions in the helpfulness of online reviews.

Mengmeng Zhan, Liping Liu, Xiaoxue Wang, Ran Ju

Electron. Commer. Res., June, 2025

Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs.

Zongqian Wu, Tianyu Li, Baoduo Xu, Jiaying Yang, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng

CoRR, February, 2025

Cascade-UDA: A Cascade paradigm for unsupervised domain adaptation.

Mengmeng Zhan, Zongqian Wu, Huafu Xu, Xiaofeng Zhu, Rongyao Hu

Neurocomputing, 2025

The effect of the realism degree of avatars in social virtual worlds: The perspective of self-presentation.

Jiahui Huang, Minxue Huang, Mengmeng Zhan, Dawei Guan

Inf. Manag., 2025

Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing.

Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Rethinking Chain-of-Thought from the Perspective of Self-Training.

Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng

CoRR, 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