A Real-Time Fraud Detection Algorithm Based on Usage Amount Forecast. - Kun Niu; Zhipeng Gao 001; Kaile Xiao; Nanjie Deng; Haizhen Jiao (ICYCSEE (1), 2016)

A Heuristic Algorithm Based on Resource Requirements Forecasting for Server Placement in Edge Computing. - Kaile Xiao; Zhipeng Gao 001; Qian Wang 015; Yang Yang 006 (SEC, 2018)

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)

Cross-chain Oracle Based Data Migration Mechanism in Heterogeneous Blockchains. - Zhipeng Gao 001; Hongli Li; Kaile Xiao; Qian Wang 015 (ICDCS, 2020)

EdgeABC: An architecture for task offloading and resource allocation in the Internet of Things. - Kaile Xiao; Zhipeng Gao 001; Weisong Shi; Xuesong Qiu 001; Yang Yang 006; Lanlan Rui (Future Gener. Comput. Syst., 2020)

DAER: A Resource Preallocation Algorithm of Edge Computing Server by Using Blockchain in Intelligent Driving. - Kaile Xiao; Weisong Shi; Zhipeng Gao 001; Congcong Yao; Xuesong Qiu 001 (IEEE Internet Things J., 2020)

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)

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)

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)

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)

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)

Toward Industrial Densely Packed Object Detection: A Federated Semi-Supervised Learning Approach. - Chen Zhao; Zhipeng Gao 001; Shudi Bao; Kaile Xiao (IEEE Internet Things J., 2024)

FedFM: A federated few-shot learning method by comparison network and model calibration. - Chen Zhao; Shudi Bao; Meng Chen 013; Zhipeng Gao 001; Kaile Xiao; Peng Dai (Knowl. Based Syst., 2025)