Mengmeng Zhan - RankMe

27 papers A* 5Misc 1Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoupled prompt learning guided by chain-of-task. Inf. Fusion Zongqian Wu, Mengmeng Zhan, Ping Hu, Zhengxia Wang, Xiaofeng Zhu
2026	J	`jnl`	Dual transferable knowledge interaction for source-free domain adaptation. Inf. Process. Manag. Mengmeng Zhan, Zongqian Wu, Jiaying Yang, Lin Peng, Jialie Shen, Xiaofeng Zhu
2025	J	`jnl`	Cascade-UDA: A Cascade paradigm for unsupervised domain adaptation. Neurocomputing Mengmeng Zhan, Zongqian Wu, Huafu Xu, Xiaofeng Zhu, Rongyao Hu
2025	J	`jnl`	Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs. CoRR Zongqian Wu, Tianyu Li, Baoduo Xu, Jiaying Yang, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2025	J	`jnl`	Resilient kernel-based unsupervised multi-view feature selection via compact binary hashing. Eng. Appl. Artif. Intell. Rongyao Hu, Mengmeng Zhan, Jiangzhang Gan, Li Li, Fei Ye, Tong Liu
2025	A*	`conf`	Rethinking Chain-of-Thought from the Perspective of Self-Training. ICML Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2025	J	`jnl`	The effect of the realism degree of avatars in social virtual worlds: The perspective of self-presentation. Inf. Manag. Jiahui Huang, Minxue Huang, Mengmeng Zhan, Dawei Guan
2025	J	`jnl`	The role of explained actions and reactions in the helpfulness of online reviews. Electron. Commer. Res. Mengmeng Zhan, Liping Liu, Xiaoxue Wang, Ran Ju
2025	A*	`conf`	Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing. AAAI Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei
2024	A*	`conf`	Adaptive Multi-Modality Prompt Learning. ACM Multimedia Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu
2024	J	`jnl`	Rethinking Chain-of-Thought from the Perspective of Self-Training. CoRR Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2024	A*	`conf`	Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. IJCAI Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	Adaptive Multi-Modality Prompt Learning. CoRR Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu
2023	J	`jnl`	CUSUM control schemes for monitoring Wiener processes. Commun. Stat. Simul. Comput. Mengmeng Zhan, Liping Liu
2023	J	`jnl`	IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis. Inf. Process. Manag. Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu
2022	J	`jnl`	Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank. Multim. Tools Appl. Mengmeng Zhan, Jiangzhang Gan, Guangquan Lu, Yingying Wan
2022	J	`jnl`	MTGCN: A multi-task approach for node classification and link prediction in graph data. Inf. Process. Manag. Zongqian Wu, Mengmeng Zhan, Haiqi Zhang, Qimin Luo, Kun Tang
2022	A*	`conf`	Multi-view Unsupervised Graph Representation Learning. IJCAI Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu
2022	J	`jnl`	Robust graph learning with graph convolutional network. Inf. Process. Manag. Yingying Wan, Changan Yuan, Mengmeng Zhan, Long Chen
2022	J	`jnl`	Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints. Neural Process. Lett. Haiqi Zhang, Guangquan Lu, Mengmeng Zhan, Beixian Zhang
2021	J	`jnl`	A principal component analysis dominance mechanism based many-objective scheduling optimization. Appl. Soft Comput. Qiong Liu, Zhui Gui, Shuping Xiong, Mengmeng Zhan
2021	Misc	`conf`	Adaptive Graph Learning for Semi-supervised Classification of GCNs. ADC Yingying Wan, Mengmeng Zhan, Yangding Li
2021	J	`jnl`	Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering. Comput. J. Guoqiu Wen, Yonghua Zhu, Linjun Chen, Mengmeng Zhan, Yangcai Xie
2020	J	`jnl`	An Efficient Algorithm Combining Spectral Clustering with Feature Selection. Neural Process. Lett. Qimin Luo, Guoqiu Wen, Leyuan Zhang, Mengmeng Zhan
2020	J	`jnl`	Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection. Neural Process. Lett. Guoqiu Wen, Yonghua Zhu, Mengmeng Zhan, Malong Tan
2020	J	`jnl`	Using Locality Preserving Projections to Improve the Performance of Kernel Clustering. Neural Process. Lett. Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu
2019	—	`conf`	A Clustering Algorithm via Kernel Function and Locality Preserving Projections. SSCI Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu