| 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 | 383 | 2021 |
| EEDTO: An energy-efficient dynamic task offloading algorithm for blockchain-enabled IoT-edge-cloud orchestrated computing H Wu, K Wolter, P Jiao, Y Deng, Y Zhao, M Xu IEEE Internet of Things Journal 8 (4), 2163-2176, 2020 | 262 | 2020 |
| DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing G Qu, H Wu, R Li, P Jiao IEEE Transactions on Network and Service Management 18 (3), 3448-3459, 2021 | 240 | 2021 |
| Hybrid neural recommendation with joint deep representation learning of ratings and reviews H Liu, Y Wang, Q Peng, F Wu, L Gan, L Pan, P Jiao Neurocomputing 374, 77-85, 2020 | 122 | 2020 |
| 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 | 85 | 2022 |
| Semi-supervised community detection based on non-negative matrix factorization with node popularity X Liu, W Wang, D He, P Jiao, D Jin, CV Cannistraci Information Sciences 381, 304-321, 2017 | 84 | 2017 |
| NRPA: Neural Recommendation with Personalized Attention XX Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 75 | 2019 |
| Temporal network embedding for link prediction via VAE joint attention mechanism P Jiao, X Guo, X Jing, D He, H Wu, S Pan, M Gong, W Wang IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7400-7413, 2021 | 68 | 2021 |
| EosDNN: An efficient offloading scheme for DNN inference acceleration in local-edge-cloud collaborative environments M Xue, H Wu, R Li, M Xu, P Jiao IEEE Transactions on Green Communications and Networking 6 (1), 248-264, 2021 | 60 | 2021 |
| 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 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 | 53 | 2018 |
| Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. Di Jin 0001, B Li, P Jiao, D He, W Zhang IJCAI, 2663-2669, 2019 | 47 | 2019 |
| 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 | 47 | 2016 |
| Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction W Wang, Y Feng, P Jiao, W Yu Knowledge-Based Systems 137, 104-114, 2017 | 41 | 2017 |
| Detecting communities with multiplex semantics by distinguishing background, general, and specialized topics D Jin, K Wang, G Zhang, P Jiao, D He, F Fogelman-Soulie, X Huang IEEE Transactions on Knowledge and Data Engineering 32 (11), 2144-2158, 2019 | 40 | 2019 |
| 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 | 39 | 2016 |
| Community detection via joint graph convolutional network embedding in attribute network D Jin, B Li, P Jiao, D He, H Shan Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 35 | 2019 |
| Role-based network embedding via structural features reconstruction with degree-regularized constraint W Zhang, X Guo, W Wang, Q Tian, L Pan, P Jiao Knowledge-Based Systems 218, 106872, 2021 | 33 | 2021 |
| Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks P Jiao, W Yu, W Wang, X Li, Y Sun Neurocomputing 314, 224-233, 2018 | 28 | 2018 |
| Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks W Yu, W Wang, P Jiao, X Li Knowledge-Based Systems 167, 1-10, 2019 | 26 | 2019 |
Huaming Wu (吴华明）Professor, Tianjin University; IEEE Senior MemberAdresă de e-mail confirmată pe tju.edu.cn