Detecting highly overlapping community structure based on Maximal Clique Networks. - Peng Wu 013; Li Pan 002 (ASONAM, 2014)

Multi-objective community detection method by integrating users' behavior attributes. - Peng Wu 013; Li Pan 002 (Neurocomputing, 2016)

Combinational Meta-paths Mining for Correlation Relationship Evaluation in Bibliographic Networks. - Qinchen Wu; Peng Wu 013; Li Pan 002 (CollaborateCom, 2017)

Scalable influence blocking maximization in social networks under competitive independent cascade models. - Peng Wu 013; Li Pan 002 (Comput. Networks, 2017)

Dominated competitive influence maximization with time-critical and time-delayed diffusion in social networks. - Huijuan Li; Li Pan 002; Peng Wu 013 (J. Comput. Sci., 2018)

Mining application-aware community organization with expanded feature subspaces from concerned attributes in social networks. - Peng Wu 013; Li Pan 002 (Knowl. Based Syst., 2018)

Influence Maximization on Large-Scale Networks with a Group-Based Method via Network Embedding. - Yaoxuan Ji; Li Pan 002; Peng Wu 013 (DSC, 2019)

GeST: A Grid Embedding based Spatio-Temporal Correlation Model for Crime Prediction. - Yiting Qian; Li Pan 002; Peng Wu 013; Zhengmin Xia (DSC, 2020)

Multimodal Deep Network Embedding With Integrated Structure and Attribute Information. - Conghui Zheng; Li Pan 002; Peng Wu 013 (IEEE Trans. Neural Networks Learn. Syst., 2020)

PRRL: Path Rotation based Knowledge Graph Representation Learning method. - Changhao Bai; Peng Wu 013 (BDCAT, 2021)

Attribute Network Embedding Method based on Joint Clustering of Representation and Network. - Wenhan Gao; Peng Wu 013; Li Pan 002 (BDCAT, 2021)

Multiscale Clustering Based Diffusion Representation Learning Method. - Yuanhang Xu; Peng Wu 013 (BDCAT, 2021)

Mining Set of Interested Communities with Limited Exemplar Nodes for Network Based Services. - Peng Wu 013; Li Pan 002; Conghui Zheng (IEEE Trans. Serv. Comput., 2021)

Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition. - Jingzhe Liu; Peng Wu 013 (IEEE Big Data, 2022)

Asymmetrical Context-aware Modulation for Collaborative Filtering Recommendation. - Yi Ouyang; Peng Wu 013; Li Pan 002 (CIKM, 2022)

Malware Detection with Limited Supervised Information via Contrastive Learning on API Call Sequences. - Mohan Gao; Peng Wu 013; Li Pan 002 (ICICS, 2022)

Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms. - Zhikai Chen; Peng Wu 013; Li Pan 002 (IJCNN, 2022)

CAMU: Cycle-Consistent Adversarial Mapping Model for User Alignment Across Social Networks. - Conghui Zheng; Li Pan 002; Peng Wu 013 (IEEE Trans. Cybern., 2022)

A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods. - Peng Wu 013; Conghui Zheng; Li Pan 002 (IEEE Trans. Knowl. Data Eng., 2023)

Attribute Augmented Network Embedding Based on Generative Adversarial Nets. - Conghui Zheng; Li Pan 002; Peng Wu 013 (IEEE Trans. Neural Networks Learn. Syst., 2023)

MINES: Multi-perspective API Call Sequence Behavior Fusion Malware Classification. - Mohan Gao; Peng Wu 013; Li Pan 002 (DASFAA (4), 2024)

PaPa: Propagation Pattern Enhanced Prompt Learning for Zero-Shot Rumor Detection. - Heng Zhang; Peng Wu 013; Li Pan 002 (ICONIP (6), 2024)

COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection. - Yi Ouyang; Peng Wu 013; Li Pan 002 (CoRR, 2024)

JORA: Weakly Supervised User Identity Linkage via Jointly Learning to Represent and Align. - Conghui Zheng; Li Pan 002; Peng Wu 013 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-perspective API call sequence behavior analysis and fusion for malware classification. - Peng Wu 013; Mohan Gao; Fuhui Sun; Xiaoyan Wang; Li Pan 002 (Comput. Secur., 2025)

CoST: Comprehensive structural and temporal learning of social propagation for fake news detection. - Zechen Guo; Peng Wu 013; Xiaoliang Liu; Li Pan 002 (Neurocomputing, 2025)

Deep unsupervised clustering by information maximization on Gaussian mixture autoencoders. - Peng Wu 013; Li Pan 002 (Inf. Sci., 2025)