A Real-Time Task Offloading Strategy Based on Double Auction for Optimal Resource Allocation in Edge Computing. - Zhipeng Gao 001; Congcong Yao; Kaile Xiao; Zijia Mo; Qian Wang 015; Yang Yang 006 (FiCloud, 2019)

A Data Uploading Strategy in Vehicular Ad-hoc Networks Targeted on Dynamic Topology: Clustering and Cooperation. - Zhipeng Gao 001; Xinyue Zheng; Kaile Xiao; Qian Wang 015; Zijia Mo (ICA3PP (2), 2019)

A Credible and Lightweight Multidimensional Trust Evaluation Mechanism for Service-Oriented IoT Edge Computing Environment. - Zhipeng Gao 001; Wensi Zhao; Chenxi Xia; Kaile Xiao; Zijia Mo; Qian Wang 015; Yang Yang 006 (ICIOT, 2019)

Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing. - Zhipeng Gao 001; Qidong Jiao; Kaile Xiao; Qian Wang 015; Zijia Mo; Yang Yang 006 (SOSE, 2019)

Task Offloading and Resources Allocation based on Fairness in Edge Computing. - Kaile Xiao; Zhipeng Gao 001; Congcong Yao; Qian Wang 015; Zijia Mo; Yang Yang 006 (WCNC, 2019)

EdgeSP: Scalable Multi-device Parallel DNN Inference on Heterogeneous Edge Clusters. - Zhipeng Gao 001; Shan Sun; Yinghan Zhang; Zijia Mo; Chen Zhao (ICA3PP (2), 2021)

A Model Training Mechanism based on Onchain and Offchain Collaboration for Edge Computing. - Yijing Lin; Zhipeng Gao 001; Kaile Xiao; Qian Wang 015; Zijia Mo; Yang Yang 006; Lanlan Rui; Haisheng Guo; Dezheng Wang (ICC, 2021)

FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation. - Zhipeng Gao 001; Chenhao Qiu; Chen Zhao; Yang Yang 006; Zijia Mo; Yijing Lin (TrustCom, 2021)

Select-Storage: A New Oracle Design Pattern on Blockchain. - Zhipeng Gao 001; Zijian Zhuang; Yijing Lin; Lanlan Rui; Yang Yang 006; Chen Zhao; Zijia Mo (TrustCom, 2021)

Triple-partition Network: Collaborative Neural Network based on the 'End Device-Edge-Cloud'. - Zhipeng Gao 001; Dong Miao; Langcheng Zhao; Zijia Mo; Guangpeng Qi; Liang Yan (WCNC, 2021)

FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework. - Chen Zhao; Zhipeng Gao 001; Qian Wang 015; Kaile Xiao; Zijia Mo; M. Jamal Deen (CoRR, 2021)

FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT. - Chen Zhao; Zhipeng Gao 001; Qian Wang 015; Zijia Mo; Xinlei Yu (CollaborateCom (1), 2022)

FedACL: Federated Multi-Distillation with Auxiliary Classification Layers in IoT. - Zhipeng Gao 001; Futeng Feng; Zijia Mo; Zijian Xiong; Yang Yang 006 (HPCC/DSS/SmartCity/DependSys, 2022)

CFedPer: Clustered Federated Learning with Two-Stages Optimization for Personalization. - Zhipeng Gao 001; Yan Yang; Chen Zhao; Zijia Mo (MSN, 2022)

FedGAN: A Federated Semi-supervised Learning from Non-IID Data. - Chen Zhao; Zhipeng Gao 001; Qian Wang 015; Zijia Mo; Xinlei Yu (WASA (2), 2022)

AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT. - Chen Zhao; Zhipeng Gao 001; Qian Wang 015; Kaile Xiao; Zijia Mo (IEEE Internet Things J., 2022)

FedDQ: A communication-efficient federated learning approach for Internet of Vehicles. - Zijia Mo; Zhipeng Gao 001; Chen Zhao; Yijing Lin (J. Syst. Archit., 2022)

FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning. - Xinlei Yu; Zhipeng Gao 001; Chen Zhao; Zijia Mo (ICA3PP (1), 2023)

Data-Efficient Adaptive Global Pruning for Convolutional Neural Networks in Edge Computing. - Zhipeng Gao 001; Shan Sun; Zijia Mo; Lanlan Rui; Yang Yang 006 (ICC, 2023)

Precision-Mixed and Weight-Average Ensemble: Online Knowledge Distillation for Quantization Convolutional Neural Networks. - Zijia Mo; Zhipeng Gao 001; Chen Zhao; Xinlei Yu; Kaile Xiao (WCNC, 2023)

FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach. - Chen Zhao; Zhipeng Gao 001; Qian Wang 015; Kaile Xiao; Zijia Mo; M. Jamal Deen (Future Gener. Comput. Syst., 2023)

FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things. - Chen Zhao; Zhipeng Gao 001; Yang Yang 006; Qian Wang 015; Zijia Mo; Xinlei Yu (IEEE Internet Things J., 2023)

IDDANet: An Input-Driven Dynamic Adaptive Network ensemble method for edge intelligence. - Zijia Mo; Zhipeng Gao 001; Kaile Xiao; Chen Zhao; Xinlei Yu (Future Gener. Comput. Syst., 2023)

Classifier Reuse-Based Contrastive Knowledge Distillation. - Zhipeng Gao 001; Shu Yang; Xinlei Yu; Zijia Mo; Lanlan Rui; Yang Yang 006 (EDGE, 2024)

DUDS: Diversity-aware unbiased device selection for federated learning on Non-IID and unbalanced data. - Xinlei Yu; Zhipeng Gao 001; Chen Zhao; Yan Qiao; Ze Chai; Zijia Mo; Yang Yang 006 (J. Syst. Archit., 2024)