A novel combined prediction scheme based on CNN and LSTM for urban PM 2.5 concentration D Qin, J Yu, G Zou, R Yong, Q Zhao, B Zhang IEEE Access 7, 20050-20059, 2019 | 238 | 2019 |
A novel method on information recommendation via hybrid similarity Q Zhao, C Wang, P Wang, MC Zhou, C Jiang IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (3), 448-459, 2018 | 46 | 2018 |
A most influential node group discovery method for influence maximization in social networks: A trust-based perspective B Zhang, L Zhang, C Mu, Q Zhao, Q Song, X Hong Data and Knowledge Engineering 121, 71-87, 2019 | 33 | 2019 |
Trust Traversal: A trust link detection scheme in social network B Zhang, H Zhang, M Li, Q Zhao, J Huang Computer Networks 120, 105-125, 2017 | 27 | 2017 |
FDN-learning: Urban PM2. 5-concentration spatial correlation prediction model based on fusion deep neural network G Zou, B Zhang, R Yong, D Qin, Q Zhao Big Data Research 26, 100269, 2021 | 18 | 2021 |
A novel model for optimizing selection of cloud instance types W Liu, P Wang, Y Meng, Q Zhao, C Zhao, Z Zhang IEEE Access 7, 120508-120521, 2019 | 14 | 2019 |
Emojis-based recurrent neural network for Chinese microblogs sentiment analysis S Huang, Q Zhao, XZ Xu, B Zhang, D Wang 2019 IEEE International Conference on Service Operations and Logistics, and …, 2019 | 9 | 2019 |
Integration of link and semantic relations for information recommendation Q Zhao, Y He, C Jiang, P Wang, M Qi, M Li Computing and Informatics 35 (1), 30-54, 2016 | 7 | 2016 |
HSim: A novel method on similarity computation by hybrid measure Q Zhao, C Wang, C Jiang 2015 6th International Conference on Information and Communication Systems …, 2015 | 7 | 2015 |
Self-supervised signed graph attention network for social recommendation Q Zhao, G Liu, F Yang, R Yang, Z Kou, D Wang 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 3 | 2023 |
A multiinterest and social interest-field framework for financial security Q Zhao, J Huang, G Liu, Y Miao, P Wang IEEE Transactions on Computational Social Systems, 2023 | 3 | 2023 |
Dynamic network representation learning method based on improved gru network J Pan, H Li, J Teng, Q Zhao, M Li Computing and Informatics 41 (6), 1491–1509-1491–1509, 2022 | 2 | 2022 |
Representation learning method of graph convolutional network based on structure enhancement N Fu, Q Zhao, Y Miao, B Zhang, D Wang Computing and Informatics 41 (6), 1563–1588-1563–1588, 2022 | 2 | 2022 |
基于自编码网络的空气污染物浓度预测 秦东明, 丁志军, 金玉鹏, 赵勤 同济大学学报 (自然科学版) 47 (5), 681-687, 2019 | 2 | 2019 |
HGNN-QSSA: Heterogeneous Graph Neural Networks With Quantitative Sampling and Structure-Aware Attention Q Zhao, Y Miao, D An, J Lian, M Li IEEE Access 12, 25512-25524, 2024 | 1 | 2024 |
Sentiment analysis based on heterogeneous multi-relation signed network Q Zhao, C Yu, J Huang, J Lian, D An Mathematics 12 (2), 331, 2024 | 1 | 2024 |
Modeling Structured Dependency Tree with Graph Convolutional Networks for Aspect-Level Sentiment Classification Q Zhao, F Yang, D An, J Lian Sensors 24 (2), 418, 2024 | 1 | 2024 |
A Spatio-Temporal Attention-Based GCN for Anti-money Laundering Transaction Detection H Huang, P Wang, Z Zhang, Q Zhao International Conference on Advanced Data Mining and Applications, 634-648, 2023 | 1 | 2023 |
Time-Dependent Prediction of Microblog Propagation Trends Based on Group Features Q Zhao, Z Zhou, J Li, S Jia, J Pan Electronics 11 (16), 2585, 2022 | 1 | 2022 |
Transport Complexity of Data Dissemination in Large-Scale Online Social Networks C Wang, H Zhu, C Wang, Q Zhao, B Zhang ACM SIGMOBILE China, 2019 | 1 | 2019 |