A deep contrastive framework for unsupervised temporal link prediction in dynamic networks P Jiao, X Zhang, Z Liu, L Zhang, H Wu, M Gao, T Li, J Wu Information Sciences 667, 120499, 2024 | 1 | 2024 |
A Fused Multi-feature Based Co-training Approach for Document Clustering Y Wang, W Wang, W Dai, P Jiao, W Yu 2016 3rd International Conference on Information Science and Control …, 2016 | 1 | 2016 |
A lightweight fetal distress-assisted diagnosis model based on a cross-channel interactive attention mechanism Y Deng, Y Zhang, Z Zhou, X Zhang, P Jiao, Z Zhao Frontiers in Physiology 14, 1090937, 2023 | 5 | 2023 |
A multi-similarity spectral clustering method for community detection in dynamic networks X Qin, W Dai, P Jiao, W Wang, N Yuan Scientific reports 6 (1), 31454, 2016 | 31 | 2016 |
A novel evolutionary clustering via the first-order varying information for dynamic networks W Yu, P Jiao, W Wang, Y Yu, X Chen, L Pan Physica A: Statistical Mechanics and its Applications 520, 507-520, 2019 | 3 | 2019 |
A novel generative topic embedding model by introducing network communities D Jin, J Huang, P Jiao, L Yang, D He, F Soulie-Fogelman, Y Huang The World Wide Web Conference, 2886-2892, 2019 | 8 | 2019 |
A perturbation-based framework for link prediction via non-negative matrix factorization W Wang, F Cai, P Jiao, L Pan Scientific reports 6 (1), 38938, 2016 | 54 | 2016 |
A survey of community detection approaches: From statistical modeling to deep learning D Jin, Z Yu, P Jiao, S Pan, D He, J Wu, SY Philip, W Zhang IEEE Transactions on Knowledge and Data Engineering 35 (2), 1149-1170, 2021 | 305 | 2021 |
A survey on role-oriented network embedding P Jiao, X Guo, T Pan, W Zhang, Y Pei, L Pan IEEE Transactions on Big Data 8 (4), 933-952, 2021 | 20 | 2021 |
A unified Bayesian model for generalized community detection in attribute networks Q Tian, W Wang, Y Xie, H Wu, P Jiao, L Pan Complexity 2020 (1), 5712815, 2020 | 2 | 2020 |
A unified Bayesian model of community detection in attribute networks with power-law degree distribution S Zhang, Y Wang, W Wang, P Jiao, L Pan Collaborative Computing: Networking, Applications and Worksharing: 16th EAI …, 2021 | 1 | 2021 |
A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information W Wang, M Tang, P Jiao PloS one 13 (11), e0208185, 2018 | 12 | 2018 |
A unified weakly supervised framework for community detection and semantic matching W Wang, X Liu, P Jiao, X Chen, D Jin Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 45 | 2018 |
Accurate Network Alignment via Consistency in Node Evolution Q Peng, Y Wang, P Jiao, H Wu, W Wang IEEE Transactions on Big Data, 2024 | | 2024 |
Adversarial capsule learning for network embedding D Jin, Z Li, L Yang, D He, P Jiao, L Zhai 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 1 | 2019 |
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding P Jiao, R Lu, D Jin, Y Wang, H Wu 2021 IEEE International Conference on Data Mining (ICDM), 1144-1149, 2021 | 1 | 2021 |
An Empirical Analysis of the Human Dynamics Based on Mobile Phone Records H Lyu, W Wang, P Jiao, X Li 2016 6th International Conference on Machinery, Materials, Environment …, 2016 | | 2016 |
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach W Wang, P Jiao, D He, D Jin, L Pan, B Gabrys Knowledge-Based Systems 110, 121-134, 2016 | 44 | 2016 |
Bipartite network embedding via effective integration of explicit and implicit relations Y Wang, P Jiao, W Wang, C Lu, H Liu, B Wang Database Systems for Advanced Applications: 24th International Conference …, 2019 | 6 | 2019 |
Block modeling-guided graph convolutional neural networks D He, C Liang, H Liu, M Wen, P Jiao, Z Feng Proceedings of the AAAI conference on artificial intelligence 36 (4), 4022-4029, 2022 | 60 | 2022 |