Zelei Liu

According to our database, Zelei Liu authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management.

Zengxiang Li, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning.

Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang

AI Mag., March, 2023

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models.

Zengxiang Li, Zhaoxiang Hou, Hui Liu, Ying Wang, Tongzhi Li, Longfei Xie, Chao Shi, Chengyi Yang, Weishan Zhang, Zelei Liu, Liang Xu

CoRR, 2023

Fairness-Aware Client Selection for Federated Learning.

Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout.

Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.

Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui

ACM Trans. Intell. Syst. Technol., 2022

Contribution-Aware Federated Learning for Smart Healthcare.

Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

FedCoin: A Peer-to-Peer Payment System for Federated Learning.

Yuan Liu, Zhengpeng Ai, Shuai Sun, Shuangfeng Zhang, Zelei Liu, Han Yu

Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Gamified Research Tool for Incentive Mechanism Design in Federated Learning.

Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang

Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Sustainable Incentive Scheme for Federated Learning.

Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang

IEEE Intell. Syst., 2020

FedCoin: A Peer-to-Peer Payment System for Federated Learning.

Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu

CoRR, 2020

A Multi-player Game for Studying Federated Learning Incentive Schemes.

Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Fairness-aware Incentive Scheme for Federated Learning.

Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract).

Zichao Deng, Anqi Tu, Zelei Liu, Han Yu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes.

Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes.

Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A novel process-based association rule approach through maximal frequent itemsets for big data processing.

Zelei Liu, Liang Hu, Chunyi Wu, Yan Ding, Quangang Wen, Jia Zhao

Future Gener. Comput. Syst., 2018

2016

A novel trajectory similarity-based approach for location prediction.

Zelei Liu, Liang Hu, Chunyi Wu, Yan Ding, Jia Zhao

Int. J. Distributed Sens. Networks, 2016