| GreenCommute: an influence-aware persuasive recommendation approach for public-friendly commute options S Wu, Q Bai, S Sengvong Journal of Systems Science and Systems Engineering 27, 250-264, 2018 | 16 | 2018 |
| 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 |
| Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems X Li, Q Liu, S Wu, Z Cao, Q Bai Journal of Industrial Information Integration 31, 100426, 2023 | 10 | 2023 |
| 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 |
| 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 |
| Dynamic graph evolution learning for recommendation H Tang, S Wu, G Xu, Q Li Proceedings of the 46th international acm sigir conference on research and …, 2023 | 6 | 2023 |
| 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 Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 6 | 2022 |
| 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 |
| Adaptive incentive allocation for influence-aware proactive recommendation S Wu, Q Bai, BH Kang PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 5 | 2019 |
| Incentivizing long-term engagement under limited budget S Wu, Q Bai PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 5 | 2019 |
| 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 |
| OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks C Jiang, W Li, S Wu, Q Bai Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | 1 | 2021 |
| Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems M Wang, Y Hu, S Wu, W Li, Q Bai, V Rupar arXiv preprint arXiv:2404.04906, 2024 | | 2024 |
| Nudging Towards Responsible Recommendations: a Graph-Based Approach to Mitigate Belief Filter Bubbles M Wang, Y Hu, S Wu, W Li, Q Bai, Z Yuan, C Jiang IEEE Transactions on Artificial Intelligence, 2024 | | 2024 |
| IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting K Liu, F Zhao, G Xu, S Wu 2023 IEEE International Conference on Data Mining (ICDM), 408-417, 2023 | | 2023 |
| SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems S Wu, G Xu, X Wang 2023 IEEE International Conference on Data Mining (ICDM), 1421-1426, 2023 | | 2023 |
| DOR: a novel dual-observation-based approach for recommendation systems M Wang, W Li, J Shi, S Wu, Q Bai Applied Intelligence 53 (23), 29109-29127, 2023 | | 2023 |
| BeECD: Belief-Aware Echo Chamber Detection over Twitter Stream G Wang, W Li, S Wu, Q Bai, EMK Lai Pacific Rim International Conference on Artificial Intelligence, 307-319, 2023 | | 2023 |
| Knowledge Management and Acquisition for Intelligent Systems: 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, Jakarta, Indonesia, November 15 … S Wu, W Yang, MB Amin, BH Kang, G Xu Springer Nature, 2023 | | 2023 |
| BHEISR: Nudging from Bias to Balance--Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations M Wang, Y Hu, Z Yuan, C Jiang, W Li, S Wu, Q Bai arXiv preprint arXiv:2307.02797, 2023 | | 2023 |
Quan BaiUniversity of TasmaniaVerified email at utas.edu.au
