EdgeSP: Scalable Multi-device Parallel DNN Inference on Heterogeneous Edge Clusters. - Zhipeng Gao 001; Shan Sun; Yinghan Zhang; Zijia Mo; Chen Zhao 015 (ICA3PP (2), 2021)

A double-phase search algorithm for sub-optimal path finding. - Zhipeng Gao 001; Junmeng Huang; Chen Zhao 015 (ICIAI, 2021)

FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation. - Zhipeng Gao 001; Chenhao Qiu; Chen Zhao 015; 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 015; Zijia Mo (TrustCom, 2021)

FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework. - Chen Zhao 015; 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 015; Zhipeng Gao 001; Qian Wang 015; Zijia Mo; Xinlei Yu (CollaborateCom (1), 2022)

FedHF: A High Fairness Federated Learning Algorithm Based on Deconfliction in Heterogeneous Networks. - Zhipeng Gao 001; Yingwen Duan; Yang Yang 006; Lanlan Rui; Chen Zhao 015 (ICSOC, 2022)

CFedPer: Clustered Federated Learning with Two-Stages Optimization for Personalization. - Zhipeng Gao 001; Yan Yang; Chen Zhao 015; Zijia Mo (MSN, 2022)

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

FedSeC: a Robust Differential Private Federated Learning Framework in Heterogeneous Networks. - Zhipeng Gao 001; Yingwen Duan; Yang Yang 006; Lanlan Rui; Chen Zhao 015 (WCNC, 2022)

AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT. - Chen Zhao 015; 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 015; Yijing Lin (J. Syst. Archit., 2022)

FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning. - Xinlei Yu; Zhipeng Gao 001; Chen Zhao 015; Zijia Mo (ICA3PP (1), 2023)

Precision-Mixed and Weight-Average Ensemble: Online Knowledge Distillation for Quantization Convolutional Neural Networks. - Zijia Mo; Zhipeng Gao 001; Chen Zhao 015; Xinlei Yu; Kaile Xiao (WCNC, 2023)

FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach. - Chen Zhao 015; 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 015; 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 015; Xinlei Yu (Future Gener. Comput. Syst., 2023)

Adaptive Backdoor Attacks Against Dataset Distillation for Federated Learning. - Ze Chai; Zhipeng Gao 001; Yijing Lin; Chen Zhao 015; Xinlei Yu; Zhiqiang Xie (ICC, 2024)

FedIDE: Federated Semi-Supervised Learning With Instance Discrimination & LocalEMA. - Zhipeng Gao 001; Shaolong Niu; Chen Zhao 015; Yang Yang 006 (ICC, 2024)

Adaptive Clipping and Distillation Enabled Federated Unlearning. - Zhiqiang Xie; Zhipeng Gao 001; Yijing Lin; Chen Zhao 015; Xinlei Yu; Ze Chai (ICWS, 2024)

DUDS: Diversity-aware unbiased device selection for federated learning on Non-IID and unbalanced data. - Xinlei Yu; Zhipeng Gao 001; Chen Zhao 015; Yan Qiao; Ze Chai; Zijia Mo; Yang Yang 006 (J. Syst. Archit., 2024)

Toward Industrial Densely Packed Object Detection: A Federated Semi-Supervised Learning Approach. - Chen Zhao 015; Zhipeng Gao 001; Shudi Bao; Kaile Xiao (IEEE Internet Things J., 2024)

DDPG-AdaptConfig: A deep reinforcement learning framework for adaptive device selection and training configuration in heterogeneity federated learning. - Xinlei Yu; Zhipeng Gao 001; Zijian Xiong; Chen Zhao 015; Yang Yang 006 (Future Gener. Comput. Syst., 2025)

A Static Analysis Framework for Investigating Tainted Data Sources in Software Systems. - Peng Dai; Xiaoqin Ma; Zebo Peng; Chen Zhao 015; Qianjin Zhang (Int. J. Softw. Eng. Knowl. Eng., 2025)

FedFM: A federated few-shot learning method by comparison network and model calibration. - Chen Zhao 015; Shudi Bao; Meng Chen 013; Zhipeng Gao 001; Kaile Xiao; Peng Dai (Knowl. Based Syst., 2025)