| A fairness-aware incentive scheme for federated learning H Yu, Z Liu, Y Liu, T Chen, M Cong, X Weng, D Niyato, Q Yang Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 393-399, 2020 | 290 | 2020 |
| Fedcoin: A peer-to-peer payment system for federated learning Y Liu, Z Ai, S Sun, S Zhang, Z Liu, H Yu Federated learning: privacy and incentive, 125-138, 2020 | 146 | 2020 |
| Gtg-shapley: Efficient and accurate participant contribution evaluation in federated learning Z Liu, Y Chen, H Yu, Y Liu, L Cui ACM Transactions on intelligent Systems and Technology (TIST) 13 (4), 1-21, 2022 | 145 | 2022 |
| A sustainable incentive scheme for federated learning H Yu, Z Liu, Y Liu, T Chen, M Cong, X Weng, D Niyato, Q Yang IEEE Intelligent Systems 35 (4), 58-69, 2020 | 134 | 2020 |
| Contribution-aware federated learning for smart healthcare Z Liu, Y Chen, Y Zhao, H Yu, Y Liu, R Bao, J Jiang, Z Nie, Q Xu, Q Yang Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12396 …, 2022 | 84 | 2022 |
| A multi-player game for studying federated learning incentive schemes KL Ng, Z Chen, Z Liu, H Yu, Y Liu, Q Yang Proceedings of the twenty-ninth international conference on international …, 2021 | 45 | 2021 |
| Fairness-aware client selection for federated learning Y Shi, Z Liu, Z Shi, H Yu 2023 IEEE International Conference on Multimedia and Expo (ICME), 324-329, 2023 | 28 | 2023 |
| A novel trajectory similarity–based approach for location prediction Z Liu, L Hu, C Wu, Y Ding, J Zhao International Journal of Distributed Sensor Networks 12 (11), 1550147716678426, 2016 | 15 | 2016 |
| A gamified research tool for incentive mechanism design in federated learning Z Chen, Z Liu, KL Ng, H Yu, Y Liu, Q Yang Federated Learning: Privacy and Incentive, 168-175, 2020 | 11 | 2020 |
| A novel process-based association rule approach through maximal frequent itemsets for big data processing Z Liu, L Hu, C Wu, Y Ding, Q Wen, J Zhao Future Generation Computer Systems 81, 414-424, 2018 | 10 | 2018 |
| Efficient training of large-scale industrial fault diagnostic models through federated opportunistic block dropout Y Chen, Z Chen, S Guo, Y Zhao, Z Liu, P Wu, C Yang, Z Li, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15485 …, 2023 | 6 | 2023 |
| Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management Z Li, Z Hou, H Liu, T Li, C Yang, Y Wang, C Shi, L Xie, W Zhang, L Xu, ... Companion Proceedings of the ACM on Web Conference 2024, 1578-1585, 2024 | 3 | 2024 |
| CAreFL: Enhancing smart healthcare with Contribution‐Aware Federated Learning Z Liu, Y Chen, Y Zhao, H Yu, Y Liu, R Bao, J Jiang, Z Nie, Q Xu, Q Yang AI Magazine 44 (1), 4-15, 2023 | 2 | 2023 |
| Social mobilization to reposition indiscriminately parked shareable bikes Z Liu, H Yu, L Wang, L Hu, Q Yang Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 2 | 2019 |
| Federated learning in big model era: Domain-specific multimodal large models Z Li, Z Hou, H Liu, Y Wang, T Li, L Xie, C Shi, C Yang, W Zhang, Z Liu, ... arXiv preprint arXiv:2308.11217, 2023 | 1 | 2023 |
| Ethically aligned mobilization of community effort to reposition shared bikes Z Liu, H Yu, L Wang, L Hu, Q Yang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9983-9984, 2019 | 1 | 2019 |
| Federated data acquisition market: Architecture and a mean-field based data pricing strategy J Hu-Bolz, M Reed, K Zhang, Z Liu, J Hu High-Confidence Computing 5 (1), 100232, 2025 | | 2025 |
| Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract) Z Deng, A Tu, Z Liu, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13775 …, 2020 | | 2020 |
