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ORCIDZelei Liu
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2020 – today
- 2024
[c9]Zengxiang Li
, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu:
Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. WWW (Companion Volume) 2024: 1578-1585- 2023
- [j5]Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. AI Mag. 44(1): 4-15 (2023) - [c8]Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. AAAI 2023: 15485-15493 - [c7]Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu:
Fairness-Aware Client Selection for Federated Learning. ICME 2023: 324-329 - [i5]Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. CoRR abs/2302.11485 (2023) - [i4]Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu:
Fairness-Aware Client Selection for Federated Learning. CoRR abs/2307.10738 (2023) - [i3]Zengxiang Li, Zhaoxiang Hou, Hui Liu, Ying Wang, Tongzhi Li, Longfei Xie, Chao Shi, Chengyi Yang, Weishan Zhang, Zelei Liu, Liang Xu:
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. CoRR abs/2308.11217 (2023) - 2022
- [j4]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. 13(4): 60:1-60:21 (2022) - [c6]Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
Contribution-Aware Federated Learning for Smart Healthcare. AAAI 2022: 12396-12404 - 2021
- [i2]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. CoRR abs/2109.02053 (2021) - 2020
- [j3]Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Sustainable Incentive Scheme for Federated Learning. IEEE Intell. Syst. 35(4): 58-69 (2020) - [c5]Zichao Deng, Anqi Tu, Zelei Liu, Han Yu:
Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract). AAAI 2020: 13775-13776 - [c4]Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Fairness-aware Incentive Scheme for Federated Learning. AIES 2020: 393-399 - [c3]Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang:
A Multi-player Game for Studying Federated Learning Incentive Schemes. IJCAI 2020: 5279-5281 - [p2]Yuan Liu, Zhengpeng Ai, Shuai Sun, Shuangfeng Zhang, Zelei Liu, Han Yu:
FedCoin: A Peer-to-Peer Payment System for Federated Learning. Federated Learning 2020: 125-138 - [p1]Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang:
A Gamified Research Tool for Incentive Mechanism Design in Federated Learning. Federated Learning 2020: 168-175 - [i1]Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu:
FedCoin: A Peer-to-Peer Payment System for Federated Learning. CoRR abs/2002.11711 (2020)
2010 – 2019
- 2019
- [c2]Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. AAAI 2019: 9983-9984 - [c1]Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. AAMAS 2019: 2099-2101 - 2018
- [j2]Zelei Liu, Liang Hu, Chunyi Wu, Yan Ding, Quangang Wen, Jia Zhao:
A novel process-based association rule approach through maximal frequent itemsets for big data processing. Future Gener. Comput. Syst. 81: 414-424 (2018) - 2016
- [j1]Zelei Liu, Liang Hu, Chunyi Wu, Yan Ding, Jia Zhao:
A novel trajectory similarity-based approach for location prediction. Int. J. Distributed Sens. Networks 12(11) (2016)
Coauthor Index
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