A novel trajectory similarity-based approach for location prediction. - Zelei Liu; Liang Hu 001; Chunyi Wu 002; Yan Ding 001; Jia Zhao 003 (Int. J. Distributed Sens. Networks, 2016)

A novel process-based association rule approach through maximal frequent itemsets for big data processing. - Zelei Liu; Liang Hu 001; Chunyi Wu 002; Yan Ding 001; Quangang Wen; Jia Zhao 003 (Future Gener. Comput. Syst., 2018)

Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. - Zelei Liu; Han Yu 001; Leye Wang; Liang Hu 001; Qiang Yang 001 (AAAI, 2019)

Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. - Zelei Liu; Han Yu 001; Leye Wang; Liang Hu 001; Qiang Yang 001 (AAMAS, 2019)

Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract). - Zichao Deng; Anqi Tu; Zelei Liu; Han Yu 001 (AAAI, 2020)

A Fairness-aware Incentive Scheme for Federated Learning. - Han Yu 001; Zelei Liu; Yang Liu 165; Tianjian Chen; Mingshu Cong; Xi Weng; Dusit Niyato; Qiang Yang 001 (AIES, 2020)

A Multi-player Game for Studying Federated Learning Incentive Schemes. - Kang Loon Ng; Zichen Chen; Zelei Liu; Han Yu 001; Yang Liu 165; Qiang Yang 001 (IJCAI, 2020)

FedCoin: A Peer-to-Peer Payment System for Federated Learning. - Yuan Liu 002; Shuai Sun; Zhengpeng Ai; Shuangfeng Zhang; Zelei Liu; Han Yu 001 (CoRR, 2020)

A Sustainable Incentive Scheme for Federated Learning. - Han Yu 001; Zelei Liu; Yang Liu 165; Tianjian Chen; Mingshu Cong; Xi Weng; Dusit Niyato; Qiang Yang 001 (IEEE Intell. Syst., 2020)

A Gamified Research Tool for Incentive Mechanism Design in Federated Learning. - Zichen Chen; Zelei Liu; Kang Loon Ng; Han Yu 001; Yang Liu 165; Qiang Yang 001 (Federated Learning, 2020)

FedCoin: A Peer-to-Peer Payment System for Federated Learning. - Yuan Liu 002; Zhengpeng Ai; Shuai Sun; Shuangfeng Zhang; Zelei Liu; Han Yu 001 (Federated Learning, 2020)

Contribution-Aware Federated Learning for Smart Healthcare. - Zelei Liu; Yuanyuan Chen; Yansong Zhao; Han Yu 001; Yang Liu 165; Renyi Bao; Jinpeng Jiang; Zaiqing Nie; Qian Xu 005; Qiang Yang 001 (AAAI, 2022)

GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. - Zelei Liu; Yuanyuan Chen; Han Yu 001; Yang Liu 165; Lizhen Cui (ACM Trans. Intell. Syst. Technol., 2022)

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 001 (AAAI, 2023)

Fairness-Aware Client Selection for Federated Learning. - Yuxin Shi; Zelei Liu; Zhuan Shi; Han Yu 001 (ICME, 2023)

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. - Zengxiang Li; Zhaoxiang Hou; Hui Liu; Ying Wang 086; Tongzhi Li; Longfei Xie; Chao Shi; Chengyi Yang; Weishan Zhang; Zelei Liu; Liang Xu 009 (CoRR, 2023)

CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. - Zelei Liu; Yuanyuan Chen; Yansong Zhao; Han Yu 001; Yang Liu 165; Renyi Bao; Jinpeng Jiang; Zaiqing Nie; Qian Xu 005; Qiang Yang 001 (AI Mag., 2023)

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 086; Chao Shi; Longfei Xie; Weishan Zhang; Liang Xu 009; Zelei Liu (WWW (Companion Volume), 2024)

IMQC: A Large Language Model Platform for Medical Quality Control. - Qi Ye; Guangya Yu; Jingping Liu; Erzhen Chen; Chenjie Dong; Xiaosheng Lin; Zelei Liu; Han Yu 001; Tong Ruan (AAAI, 2025)

FedBridgeICL: Federated Bridging of Small and Large Models for In-Context Learning. - Haozhe Zhang; Junjie Pang; Yan Huang; Zhenzhen Xie; Zelei Liu (WASA (3), 2025)