A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing. - Xiaolong Xu 001; Qingxiang Liu 004; Lianyong Qi; Yuan Yuan 004; Wanchun Dou; Alex X. Liu (BigDataSecurity/HPSC/IDS, 2018)

An IoT-Oriented data placement method with privacy preservation in cloud environment. - Xiaolong Xu 001; Shucun Fu; Lianyong Qi; Xuyun Zhang; Qingxiang Liu 004; Qiang He 001; Shancang Li (J. Netw. Comput. Appl., 2018)

Uncertainty-Aware Resource Provisioning for Workflow Scheduling in Edge Computing Environment. - Hao Cao; Xiaolong Xu 001; Qingxiang Liu 004; Yuan Xue; Lianyong Qi (TrustCom/BigDataSE, 2019)

A computation offloading method over big data for IoT-enabled cloud-edge computing. - Xiaolong Xu 001; Qingxiang Liu 004; Yun Luo; Kai Peng 002; Xuyun Zhang; Shunmei Meng; Lianyong Qi (Future Gener. Comput. Syst., 2019)

A Blockchain-Powered Crowdsourcing Method With Privacy Preservation in Mobile Environment. - Xiaolong Xu 001; Qingxiang Liu 004; Xuyun Zhang; Jie Zhang 053; Lianyong Qi; Wanchun Dou (IEEE Trans. Comput. Soc. Syst., 2019)

Customized Federated Learning for accelerated edge computing with heterogeneous task targets. - Hui Jiang 015; Min Liu 001; Bo Yang 026; Qingxiang Liu 004; Jizhong Li; Xiaobing Guo (Comput. Networks, 2020)

A blockchain-based computation offloading method for edge computing in 5G networks. - Xiaolong Xu 001; Yi Chen 008; Xuyun Zhang; Qingxiang Liu 004; Xihua Liu; Lianyong Qi (Softw. Pract. Exp., 2021)

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. - Zhiyuan Wu; Sheng Sun; Yuwei Wang 003; Min Liu 001; Qingxiang Liu 004 (CoRR, 2022)

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. - Zhiyuan Wu; Sheng Sun; Yuwei Wang 003; Min Liu 001; Quyang Pan; Junbo Zhang; Zeju Li; Qingxiang Liu 004 (ACM Trans. Intell. Syst. Technol., 2024)

Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting. - Qingxiang Liu 004; Sheng Sun; Min Liu 001; Yuwei Wang 003; Bo Gao (IEEE Trans. Intell. Transp. Syst., 2024)

Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. - Qingxiang Liu 004; Sheng Sun; Yuxuan Liang; Min Liu 001; Jingjing Xue (AAAI, 2025)

REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. - Qingxiang Liu 004; Sheng Sun; Yuxuan Liang; Xiaolong Xu 001; Min Liu 001; Muhammad Bilal 003; Yuwei Wang 003; Xujing Li; Yu Zheng 004 (IEEE Trans. Intell. Transp. Syst., 2025)