Peng Wu
Orcid: 0000-0002-6294-0431Affiliations:
- Shanghai Jiao Tong University, Shanghai, China
According to our database1,
Peng Wu
authored at least 22 papers
between 2014 and 2024.
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Bibliography
2024
JORA: Weakly Supervised User Identity Linkage via Jointly Learning to Represent and Align.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection.
CoRR, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., July, 2023
A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods.
IEEE Trans. Knowl. Data Eng., 2023
2022
CAMU: Cycle-Consistent Adversarial Mapping Model for User Alignment Across Social Networks.
IEEE Trans. Cybern., 2022
Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms.
Proceedings of the International Joint Conference on Neural Networks, 2022
Malware Detection with Limited Supervised Information via Contrastive Learning on API Call Sequences.
Proceedings of the Information and Communications Security - 24th International Conference, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Mining Set of Interested Communities with Limited Exemplar Nodes for Network Based Services.
IEEE Trans. Serv. Comput., 2021
Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021
Attribute Network Embedding Method based on Joint Clustering of Representation and Network.
Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021
Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021
2020
Multimodal Deep Network Embedding With Integrated Structure and Attribute Information.
IEEE Trans. Neural Networks Learn. Syst., 2020
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020
2019
Influence Maximization on Large-Scale Networks with a Group-Based Method via Network Embedding.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019
2018
Mining application-aware community organization with expanded feature subspaces from concerned attributes in social networks.
Knowl. Based Syst., 2018
Dominated competitive influence maximization with time-critical and time-delayed diffusion in social networks.
J. Comput. Sci., 2018
2017
Scalable influence blocking maximization in social networks under competitive independent cascade models.
Comput. Networks, 2017
Combinational Meta-paths Mining for Correlation Relationship Evaluation in Bibliographic Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017
2016
Multi-objective community detection method by integrating users' behavior attributes.
Neurocomputing, 2016
2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014