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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Dynamic Stochastic Block Model with Scale-free Characteristic for Temporal Complex Networks
Published in International Conference on Database Systems for Advanced Applications (DASFAA), 2019
Recommended citation: Wu, X., Jiao, P., Wang, Y., Li, T., Wang, W., & Wang, B. (2019). "Dynamic Stochastic Block Model with Scale-free Characteristic for Temporal Complex Networks." International Conference on Database Systems for Advanced Applications, 502-518.
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Exploring the Transition Behavior of Nodes in Temporal Networks Based on Dynamic Community Detection
Published in Future Generation Computer Systems, 2020
Recommended citation: Li, T., Wang, W., Wu, X., Wu, H., Jiao, P., & Yu, Y. (2020). "Exploring the Transition Behavior of Nodes in Temporal Networks Based on Dynamic Community Detection." Future Generation Computer Systems, 107, 458-468.
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Generative evolutionary anomaly detection in dynamic networks
Published in IEEE Transactions on Knowledge and Data Engineering, 2021
Recommended citation: Jiao, P., Li, T., Xie, Y., Wang, Y., Wang, W., He, D., & Wu, H. (2021). "Generative evolutionary anomaly detection in dynamic networks." IEEE Transactions on Knowledge and Data Engineering, 35(12), 12234-12248.
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Lower Order Information Preserved Network Embedding Based on Non-negative Matrix Decomposition
Published in Information Sciences, 2021
Recommended citation: Tian, Q., Pan, L., Zhang, W., Li, T., Wu, H., Jiao, P., & Wang, W. (2021). "Lower Order Information Preserved Network Embedding Based on Non-negative Matrix Decomposition." Information Sciences, 572, 43-56.
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Exploring temporal community structure via network embedding
Published in IEEE Transactions on Cybernetics, 2022
Recommended citation: Li, T., Wang, W., Jiao, P., Wang, Y., Ding, R., Wu, H., Pan, L., & Jin, D. (2022). "Exploring temporal community structure via network embedding." IEEE Transactions on Cybernetics, 53(11), 7021-7033.
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HB-DSBM: Modeling the Dynamic Complex Networks from Community Level to Node Level
Published in IEEE Transactions on Neural Networks and Learning Systems, 2022
Recommended citation: Jiao, P., Li, T., Wu, H., Wang, C. D., He, D., & Wang, W. (2022). "HB-DSBM: Modeling the Dynamic Complex Networks from Community Level to Node Level." IEEE Transactions on Neural Networks and Learning Systems, 34(11), 8310-8323.
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Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning
Published in International Conference on Knowledge Science, Engineering and Management (KSEM), 2023
Recommended citation: Zhang, J., Wang, W., Li, T., Shao, M., Liu, J., & Sun, Y. (2023). "Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning." International Conference on Knowledge Science, Engineering and Management.
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Multi-view change point detection in dynamic networks
Published in Information Sciences, 2023
Recommended citation: Xie, Y., Wang, W., Shao, M., Li, T., & Yu, Y. (2023). "Multi-view change point detection in dynamic networks." Information Sciences, 629, 344-357.
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Robust Few-Shot Graph Anomaly Detection via Graph Coarsening
Published in International Conference on Knowledge Science, Engineering and Management (KSEM), 2023
Recommended citation: Li, L., Sun, Y., Li, T., & Shao, M. (2023). "Robust Few-Shot Graph Anomaly Detection via Graph Coarsening." International Conference on Knowledge Science, Engineering and Management.
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A Deep Contrastive Framework for Unsupervised Temporal Link Prediction in Dynamic Networks
Published in Information Sciences, 2024
Recommended citation: Jiao, P., Zhang, X., Liu, Z., Zhang, L., Wu, H., Gao, M., Li, T., & Wu, J. (2024). "A Deep Contrastive Framework for Unsupervised Temporal Link Prediction in Dynamic Networks." Information Sciences, 667, 120499.
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Informative Subgraphs Aware Masked Auto-encoder in Dynamic Graphs
Published in 2024 IEEE International Conference on Data Mining (ICDM), 2024
Recommended citation: Jiao, P., Zhang, X., Gao, M., Li, T., & Zhao, Z. (2024). "Informative Subgraphs Aware Masked Auto-encoder in Dynamic Graphs." 2024 IEEE International Conference on Data Mining (ICDM), 161-170.
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VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks
Published in IEEE Transactions on Information Forensics and Security, 2024
Recommended citation: Zhang, X., Jiao, P., Gao, M., Li, T., Wu, Y., Wu, H., & Zhao, Z. (2024). "VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks." IEEE Transactions on Information Forensics and Security, 19, 4272-4284.
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Counterfactual Learning for Higher-order Relation Prediction in Heterogeneous Information Networks
Published in Neural Networks, 2025
Recommended citation: Guo, X., Li, J., Jiao, P., Zhang, W., Li, T., & Wang, W. (2025). "Counterfactual Learning for Higher-order Relation Prediction in Heterogeneous Information Networks." Neural Networks, 183, 107024.
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DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder
Published in IEEE Transactions on Neural Networks and Learning Systems, 2025
Recommended citation: Gao, M., Zhang, X., Jiao, P., Li, T., & Zhao, Z. (2025). "DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder." IEEE Transactions on Neural Networks and Learning Systems.
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HSDP: Hypergraph and Structure-aware Representation Learning for Information Diffusion Prediction
Published in SSRN (Preprint), 2025
Recommended citation: Zhang, W., Wang, W., Guo, X., Li, T., & Shao, M. (2025). "HSDP: Hypergraph and Structure-aware Representation Learning for Information Diffusion Prediction." SSRN.
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Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2026
Recommended citation: Zhang, X., Jiao, P., Gao, M., Li, T., & Guo, X. (2026). "Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning." Proceedings of the AAAI Conference on Artificial Intelligence, 40(19), 16379.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.