Zijia Mo - RankMe

26 papers B 5Journal 8Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FedSD: A Communication-Efficient Federated Learning Method With Scaled Stochastic Quantization and Dynamic Caching Mechanism. IEEE Trans. Emerg. Top. Comput. Intell. Xinlei Yu, Zhipeng Gao, Chen Zhao, Yan Qiao, Yijing Lin, Zijia Mo, Yang Yang
2024	—	`conf`	Classifier Reuse-Based Contrastive Knowledge Distillation. EDGE Zhipeng Gao, Shu Yang, Xinlei Yu, Zijia Mo, Lanlan Rui, Yang Yang
2024	J	`jnl`	DUDS: Diversity-aware unbiased device selection for federated learning on Non-IID and unbalanced data. J. Syst. Archit. Xinlei Yu, Zhipeng Gao, Chen Zhao, Yan Qiao, Ze Chai, Zijia Mo, Yang Yang
2023	—	`conf`	Data-Efficient Adaptive Global Pruning for Convolutional Neural Networks in Edge Computing. ICC Zhipeng Gao, Shan Sun, Zijia Mo, Lanlan Rui, Yang Yang
2023	—	`conf`	FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning. ICA3PP (1) Xinlei Yu, Zhipeng Gao, Chen Zhao, Zijia Mo
2023	J	`jnl`	FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach. Future Gener. Comput. Syst. Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen
2023	J	`jnl`	FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things. IEEE Internet Things J. Chen Zhao, Zhipeng Gao, Yang Yang, Qian Wang, Zijia Mo, Xinlei Yu
2023	J	`jnl`	IDDANet: An Input-Driven Dynamic Adaptive Network ensemble method for edge intelligence. Future Gener. Comput. Syst. Zijia Mo, Zhipeng Gao, Kaile Xiao, Chen Zhao, Xinlei Yu
2023	B	`conf`	Precision-Mixed and Weight-Average Ensemble: Online Knowledge Distillation for Quantization Convolutional Neural Networks. WCNC Zijia Mo, Zhipeng Gao, Chen Zhao, Xinlei Yu, Kaile Xiao
2022	J	`jnl`	AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT. IEEE Internet Things J. Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo
2022	—	`conf`	CFedPer: Clustered Federated Learning with Two-Stages Optimization for Personalization. MSN Zhipeng Gao, Yan Yang, Chen Zhao, Zijia Mo
2022	—	`conf`	FedACL: Federated Multi-Distillation with Auxiliary Classification Layers in IoT. HPCC/DSS/SmartCity/DependSys Zhipeng Gao, Futeng Feng, Zijia Mo, Zijian Xiong, Yang Yang
2022	—	`conf`	FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT. CollaborateCom (1) Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu
2022	J	`jnl`	FedDQ: A communication-efficient federated learning approach for Internet of Vehicles. J. Syst. Archit. Zijia Mo, Zhipeng Gao, Chen Zhao, Yijing Lin
2022	—	`conf`	FedGAN: A Federated Semi-supervised Learning from Non-IID Data. WASA (2) Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu
2021	—	`conf`	A Model Training Mechanism based on Onchain and Offchain Collaboration for Edge Computing. ICC Yijing Lin, Zhipeng Gao, Kaile Xiao, Qian Wang, Zijia Mo, Yang Yang, Lanlan Rui, Haisheng Guo, Dezheng Wang
2021	—	`conf`	EdgeSP: Scalable Multi-device Parallel DNN Inference on Heterogeneous Edge Clusters. ICA3PP (2) Zhipeng Gao, Shan Sun, Yinghan Zhang, Zijia Mo, Chen Zhao
2021	B	`conf`	FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation. TrustCom Zhipeng Gao, Chenhao Qiu, Chen Zhao, Yang Yang, Zijia Mo, Yijing Lin
2021	J	`jnl`	FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework. CoRR Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen
2021	B	`conf`	Select-Storage: A New Oracle Design Pattern on Blockchain. TrustCom Zhipeng Gao, Zijian Zhuang, Yijing Lin, Lanlan Rui, Yang Yang, Chen Zhao, Zijia Mo
2021	B	`conf`	Triple-partition Network: Collaborative Neural Network based on the 'End Device-Edge-Cloud'. WCNC Zhipeng Gao, Dong Miao, Langcheng Zhao, Zijia Mo, Guangpeng Qi, Liang Yan
2019	—	`conf`	A Credible and Lightweight Multidimensional Trust Evaluation Mechanism for Service-Oriented IoT Edge Computing Environment. ICIOT Zhipeng Gao, Wensi Zhao, Chenxi Xia, Kaile Xiao, Zijia Mo, Qian Wang, Yang Yang
2019	—	`conf`	A Data Uploading Strategy in Vehicular Ad-hoc Networks Targeted on Dynamic Topology: Clustering and Cooperation. ICA3PP (2) Zhipeng Gao, Xinyue Zheng, Kaile Xiao, Qian Wang, Zijia Mo
2019	—	`conf`	A Real-Time Task Offloading Strategy Based on Double Auction for Optimal Resource Allocation in Edge Computing. FiCloud Zhipeng Gao, Congcong Yao, Kaile Xiao, Zijia Mo, Qian Wang, Yang Yang
2019	—	`conf`	Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing. SOSE Zhipeng Gao, Qidong Jiao, Kaile Xiao, Qian Wang, Zijia Mo, Yang Yang
2019	B	`conf`	Task Offloading and Resources Allocation based on Fairness in Edge Computing. WCNC Kaile Xiao, Zhipeng Gao, Congcong Yao, Qian Wang, Zijia Mo, Yang Yang