| Automated influence maintenance in social networks: an agent-based approach W Li, Q Bai, M Zhang, TD Nguyen IEEE Transactions on Knowledge and Data Engineering 31 (10), 1884-1897, 2018 | 25 | 2018 |
| A multi-agent system for modelling preference-based complex influence diffusion in social networks W Li, Q Bai, M Zhang The Computer Journal 62 (3), 430-447, 2019 | 20 | 2019 |
| SIMiner: A stigmergy-based model for mining influential nodes in dynamic social networks W Li, Q Bai, M Zhang IEEE Transactions on Big Data 5 (2), 223-237, 2018 | 17 | 2018 |
| DSGWO: An improved grey wolf optimizer with diversity enhanced strategy based on group-stage competition and balance mechanisms J Jiang, Z Zhao, Y Liu, W Li, H Wang Knowledge-Based Systems 250, 109100, 2022 | 16 | 2022 |
| Modelling multiple influences diffusion in on-line social networks W Li, Q Bai, M Zhang, TD Nguyen Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 16 | 2018 |
| Agent-based influence propagation in social networks W Li, Q Bai, M Zhang 2016 IEEE International Conference on Agents (ICA), 51-56, 2016 | 16 | 2016 |
| Stigmergy-based influence maximization in social networks W Li, Q Bai, C Jiang, M Zhang PRICAI 2016: Trends in Artificial Intelligence: 14th Pacific Rim …, 2016 | 16 | 2016 |
| Agent-based influence maintenance in social networks W Li, Q Bai, TD Nguyen, M Zhang Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 13 | 2017 |
| An operator-based approach for modeling influence diffusion in complex social networks C Jiang, A D'Arienzo, W Li, S Wu, Q Bai Journal of Social Computing 2 (2), 166-182, 2021 | 11 | 2021 |
| Automated concern exploration in pandemic situations-Covid-19 as a use case J Shi, W Li, Y Yang, N Yao, Q Bai, S Yongchareon, J Yu Knowledge Management and Acquisition for Intelligent Systems: 17th Pacific …, 2021 | 10 | 2021 |
| Gac: A deep reinforcement learning model toward user incentivization in unknown social networks S Wu, W Li, Q Bai Knowledge-Based Systems 259, 110060, 2023 | 9 | 2023 |
| Social influence minimization based on context-aware multiple influences diffusion model W Li, Q Bai, L Liang, Y Yang, Y Hu, M Zhang Knowledge-Based Systems 227, 107233, 2021 | 8 | 2021 |
| Context-aware recommendation system using graph-based behaviours analysis L Zhang, X Li, W Li, H Zhou, Q Bai Journal of Systems Science and Systems Engineering 30, 482-494, 2021 | 8 | 2021 |
| Swinv2-imagen: Hierarchical vision transformer diffusion models for text-to-image generation R Li, W Li, Y Yang, H Wei, J Jiang, Q Bai Neural Computing and Applications, 1-16, 2023 | 7 | 2023 |
| ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks W Li, Y Hu, C Jiang, S Wu, Q Bai, E Lai Applied Soft Computing 136, 110062, 2023 | 7 | 2023 |
| Graph-based joint pandemic concern and relation extraction on twitter J Shi, W Li, S Yongchareon, Y Yang, Q Bai Expert Systems with Applications 195, 116538, 2022 | 7 | 2022 |
| AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society Y Hu, S Wu, C Jiang, W Li, Q Bai, E Roehrer International Joint Conference on Artificial Intelligence, 2022 | 6 | 2022 |
| Preference aware influence maximization C Jiang, W Li, Q Bai, M Zhang Multi-agent and complex systems, 153-164, 2017 | 6 | 2017 |
| Learning policies for effective incentive allocation in unknown social networks S Wu, Q Bai, W Li Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 5 | 2021 |
| Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction S Wu, W Li, H Shen, Q Bai Information Sciences 624, 128-146, 2023 | 4 | 2023 |
Quan BaiUniversity of TasmaniaVerified email at utas.edu.au
