| A component-based diffusion model with structural diversity for social networks Q Bao, WK Cheung, Y Zhang, J Liu IEEE transactions on cybernetics 47 (4), 1078-1089, 2016 | 40 | 2016 |
| Inferring Motif-Based Diffusion Models for Social Networks. Q Bao, WK Cheung, J Liu IJCAI, 3677-3683, 2016 | 14 | 2016 |
| Incorporating structural diversity of neighbors in a diffusion model for social networks Q Bao, WK Cheung, Y Zhang 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2013 | 14 | 2013 |
| Individualism or collectivism: A reinforcement learning mechanism for vaccination decisions C Wu, T Qiao, H Qiu, B Shi, Q Bao Information 12 (2), 66, 2021 | 13 | 2021 |
| EpiRep: Learning node representations through epidemic dynamics on networks B Shi, J Zhong, Q Bao, H Qiu, J Liu IEEE/WIC/ACM International Conference on Web Intelligence, 486-492, 2019 | 8 | 2019 |
| Identifying Multiple Propagation Sources With Motif-Based Graph Convolutional Networks for Social Networks K Yang, Q Bao, H Qiu IEEE Access 11, 61630-61645, 2023 | 5 | 2023 |
| Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning P Jiao, H Chen, Q Bao, W Zhang, H Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8571-8581, 2024 | 4 | 2024 |
| Location spoofing detection for social network service using camera fingerprint Q Zhao, N Zheng, Q Bao Proceedings of the 2020 4th International Conference on Vision, Image and …, 2020 | 4 | 2020 |
| Contrastive representation learning on dynamic networks P Jiao, H Chen, H Tang, Q Bao, L Zhang, Z Zhao, H Wu Neural Networks 174, 106240, 2024 | 3 | 2024 |
| Fine-grained urban flow prediction via a spatio-temporal super-resolution scheme R Shen, J Xu, Q Bao, W Li, H Yuan, M Xu Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2020 | 3 | 2020 |
| Inferring latent co-activation patterns for information diffusion Q Bao, WK Cheung, J Liu, Y Song 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 3 | 2015 |
| Hybrid embedding via cross-layer random walks on multiplex networks B Shi, J Zhong, H Qiu, Q Bao, K Liu, J Liu IEEE Transactions on Network Science and Engineering 8 (2), 1815-1827, 2021 | 2 | 2021 |
| Source identification of asymptomatic spread on networks H Liu, Q Bao, H Qiu, M Xu, B Shi IEEE Access 9, 34142-34155, 2021 | 2 | 2021 |
| An Adaptive Aggregation Method Based on Movie Genre for Group Recommendation W Li, J Xu, Q Bao, R Shen, H Yuan, M Xu 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 2 | 2020 |
| Graph contrastive learning for source localization in social networks Q Bao, Y Jiang, W Zhang, P Jiao, J Su Information Sciences 679, 121090, 2024 | 1 | 2024 |
| Numerical simulation of droplet impacting and sliding on hydrophobic granular surfaces Q Bao, H Kang Mathematical Problems in Engineering 2021 (1), 5534003, 2021 | 1 | 2021 |
| Joint learning of embedding-based parent components and information diffusion for social networks Q Bao, WK Cheung, B Shi, H Qiu, L Ma IEEE Access 8, 50709-50720, 2020 | 1 | 2020 |
| WVRF_CGT: WVRF Automatic Filter Based Cascading Graph Transformer for Information Diffusion in Stock Q&A Platform X Feng, L Feng, P Jiao, Z Zheng, Q Bao 2024 11th International Conference on Dependable Systems and Their …, 2024 | | 2024 |
| Graph contrastive learning with node-level accurate difference P Jiao, K Yu, Q Bao, Y Jiang, X Guo, Z Zhao Fundamental Research, 2024 | | 2024 |
| RD-GCN: A Role-Based Dynamic Graph Convolutional Network for Information Diffusion Prediction J Ye, Q Bao, M Xu, J Xu, H Qiu, P Jiao IEEE Transactions on Network Science and Engineering, 2024 | | 2024 |
William K. CheungProfessor of Computer Science, Hong Kong Baptist Universitycomp.hkbu.edu.hk의 이메일 확인됨