Zelei Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Fault Diagnostic

Top Venues

Future Gener. Comput. Syst.

Publications

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)
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)
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 (2023)
Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu
Fairness-Aware Client Selection for Federated Learning. ICME (2023)
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 (2023)
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) (2023)
Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu
Fairness-Aware Client Selection for Federated Learning. CoRR (2023)
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) (2022)
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)
Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. CoRR (2021)
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)
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)
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) (2020)
Zichao Deng, Anqi Tu, Zelei Liu, Han Yu
Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract). AAAI (2020)
Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu
FedCoin: A Peer-to-Peer Payment System for Federated Learning. CoRR (2020)
Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. AAMAS (2019)
Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. AAAI (2019)
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 (2018)
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)