A Clustering Algorithm via Kernel Function and Locality Preserving Projections. - Mengmeng Zhan; Guangquan Lu; Guoqiu Wen; Leyuan Zhang; Lin Wu (SSCI, 2019)

An Efficient Algorithm Combining Spectral Clustering with Feature Selection. - Qimin Luo; Guoqiu Wen; Leyuan Zhang; Mengmeng Zhan (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)

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)

Adaptive Graph Learning for Semi-supervised Classification of GCNs. - Yingying Wan; Mengmeng Zhan; Yangding Li (ADC, 2021)

A principal component analysis dominance mechanism based many-objective scheduling optimization. - Qiong Liu; Zhui Gui; Shuping Xiong; Mengmeng Zhan (Appl. Soft Comput., 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)

Multi-view Unsupervised Graph Representation Learning. - Jiangzhang Gan; Rongyao Hu; Mengmeng Zhan; Yujie Mo; Yingying Wan; Xiaofeng Zhu 001 (IJCAI, 2022)

Robust graph learning with graph convolutional network. - Yingying Wan; Changan Yuan 001; Mengmeng Zhan; Long Chen (Inf. Process. Manag., 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)

Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank. - Mengmeng Zhan; Jiangzhang Gan; Guangquan Lu; Yingying Wan (Multim. Tools Appl., 2022)

Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints. - Haiqi Zhang; Guangquan Lu; Mengmeng Zhan; Beixian Zhang (Neural Process. Lett., 2022)

Adaptive Multi-Modality Prompt Learning. - Zongqian Wu; Yujing Liu; Mengmeng Zhan; Jialie Shen 001; Ping Hu 001; Xiaofeng Zhu 001 (CoRR, 2023)

CUSUM control schemes for monitoring Wiener processes. - Mengmeng Zhan; Liping Liu (Commun. Stat. Simul. Comput., 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., 2023)

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. - Mengmeng Zhan; Zongqian Wu; Rongyao Hu; Ping Hu 001; Heng Tao Shen; Xiaofeng Zhu 001 (IJCAI, 2024)

Adaptive Multi-Modality Prompt Learning. - Zongqian Wu; Yujing Liu; Mengmeng Zhan; Ping Hu 001; Xiaofeng Zhu 001 (ACM Multimedia, 2024)

Rethinking Chain-of-Thought from the Perspective of Self-Training. - Zongqian Wu; Baoduo Xu; Ruochen Cui; Mengmeng Zhan; Xiaofeng Zhu 001; Lei Feng 006 (CoRR, 2024)

Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing. - Rongyao Hu; Jiangzhang Gan; Mengmeng Zhan; Li Li 059; Mengling Wei (AAAI, 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)

Cascade-UDA: A Cascade paradigm for unsupervised domain adaptation. - Mengmeng Zhan; Zongqian Wu; Huafu Xu; Xiaofeng Zhu 001; Rongyao Hu (Neurocomputing, 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 001; Lei Feng 006 (CoRR, 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., 2025)

Dual transferable knowledge interaction for source-free domain adaptation. - Mengmeng Zhan; Zongqian Wu; Jiaying Yang; Lin Peng; Jialie Shen 001; Xiaofeng Zhu 001 (Inf. Process. Manag., 2026)