Shuqin Cao

According to our database, Shuqin Cao authored at least 35 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FedSame: A Bayesian Similarity-Aware Framework for Federated Multitask Learning.

Yuqi Li, Yue Chen, Jianfeng Lu, Shuqin Cao, Wei Wang, Haozhao Wang

IEEE Internet Things J., 2026

CRAFT: Towards Handling Dual Skew in Cross-Domain Multi-Task Federated Edge Learning.

Yuzhao Xiang, Bangqi Pan, Shuqin Cao, Jianfeng Lu

Intell. Converged Networks, 2026

Energy-efficient serverless federated learning with blockchain-enhanced optimized raft consensus.

Jianfeng Lu, Pan Qi, Shujun Yu, Jing Liu, Shuqin Cao, Yanan Jin

Future Gener. Comput. Syst., 2026

OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility.

Yun Xin, Jianfeng Lu, Gang Li, Shuqin Cao, Guanghui Wen, Kehao Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks.

Bangqi Pan, Jianfeng Lu, Shuqin Cao, Xiao Zhang, Gang Li, Guanghui Wen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data.

Yue Chen, Jianfeng Lu, Shuqin Cao, Wei Wang, Gang Li, Guanghui Wen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Optimizing Model-Driven Federated Learning for Rational and Data-Efficient in Social Mobile Network.

Jianfeng Lu, Ying Zhang, Shuqin Cao, Wei Wang, Changbing Tang

IEEE Netw., July, 2025

Bilateral Pricing for Dynamic Association in Federated Edge Learning.

Bangqi Pan, Jianfeng Lu, Shuqin Cao, Jing Liu, Wenlong Tian, Minglu Li

IEEE Trans. Mob. Comput., June, 2025

Hypergraph Attention Recurrent Network for Cellular Traffic Prediction.

Shuqin Cao, Libing Wu, Rui Zhang, Jianfeng Lu, Dan Wu, Zhuangzhuang Zhang

IEEE Trans. Netw. Serv. Manag., April, 2025

FedSC: Game-Theoretic Design of Sustainable Contracts for Unreliable Federated Edge Learning.

Jianfeng Lu, Wenxuan Yuan, Riheng Jia, Shuqin Cao, Chen Wang, Minglu Li

IEEE Trans. Comput. Soc. Syst., April, 2025

PIECE: Incentivizing Personalized Privacy-Preserving for Multi-Version Model Marketplace in Federated Learning.

Jianfeng Lu, Tao Huang, Shuqin Cao, Shujun Yu, Riheng Jia, Minglu Li

IEEE Trans. Inf. Forensics Secur., 2025

TRACE: A trust-aware incentive mechanism for federated learning in IoMT.

Bing Li, Jianfeng Lu, Shuqin Cao, Yanan Jin, Zhiwei Ye, Hu Liu

J. King Saud Univ. Comput. Inf. Sci., 2025

RATE: Game-Theoretic Design of Sustainable Incentive Mechanism for Federated Learning.

Bing Li, Jianfeng Lu, Shuqin Cao, Lijuan Hu, Qing Dai, Shasha Yang, Zhiwei Ye

IEEE Internet Things J., 2025

A Federated Learning Incentive Mechanism for Dynamic Client Participation: Unbiased Deep Learning Models.

Jianfeng Lu, Tao Huang, Yuanai Xie, Shuqin Cao, Bing Li

Comput. Mater. Continua, 2025

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information.

Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning.

Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin Cao, Jing Liu, Hao Fu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

FedCross: Intertemporal Federated Learning Under Evolutionary Games.

Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao, Jing Liu, Hao Fu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Lyapunov-Guided Long-Term Fairness-Aware Federated Learning for Collaborative TinyML on Edge Devices.

Jianfeng Lu, Yuhang Sheng, Shuqin Cao, Said Elnaffar, Malik Muhammad Saad, Abegaz Mohammed Seid, Aiman Erbad

IEEE Trans. Consumer Electron., November, 2024

A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction.

Shuqin Cao, Libing Wu, Rui Zhang, Dan Wu, Jianqun Cui, Yanan Chang

IEEE Trans. Intell. Transp. Syst., August, 2024

A Spatial-Temporal Gated Hypergraph Convolution Network for Traffic Prediction.

Shuqin Cao, Libing Wu, Rui Zhang, Yanjiao Chen, Jianxin Li, Qin Liu

IEEE Trans. Veh. Technol., July, 2024

Contribution Matching-Based Hierarchical Incentive Mechanism Design for Crowd Federated Learning.

Hangjian Zhang, Yanan Jin, Jianfeng Lu, Shuqin Cao, Qing Dai, Shasha Yang

IEEE Access, 2024

FedBoost: Bayesian Estimation Based Client Selection for Federated Learning.

Yuhang Sheng, Lingguo Zeng, Shuqin Cao, Qing Dai, Shasha Yang, Jianfeng Lu

IEEE Access, 2024

LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game.

Jianfeng Lu, Yue Chen, Shuqin Cao, Longbiao Chen, Wei Wang, Yun Xin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets.

Rui Zhang, Libing Wu, Shuqin Cao, Dan Wu, Jianxin Li

IEEE Trans. Netw. Serv. Manag., March, 2023

Communication-Efficient and Byzantine-Robust Federated Learning for Mobile Edge Computing Networks.

Zhuangzhuang Zhang, Libing Wu, Debiao He, Jianxin Li, Shuqin Cao, Xianfeng Wu

IEEE Netw., 2023

2022

Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV.

Rui Zhang, Libing Wu, Shuqin Cao, Xinrong Hu, Shan Xue, Dan Wu, Qingan Li

ACM Trans. Internet Techn., 2022

Subpixel Snow Mapping Using Daily AVHRR/2 Data over Qinghai-Tibet Plateau.

Ji Zhu, Shuqin Cao, Guofei Shang, Jiancheng Shi, Xinyun Wang, Zhaojun Zheng, Chenzhou Liu, Huicai Yang, Baoni Xie

Remote. Sens., 2022

MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets.

Rui Zhang, Libing Wu, Shuqin Cao, Neal N. Xiong, Jianxin Li, Dan Wu, Chao Ma

J. Syst. Archit., 2022

A spatio-temporal sequence-to-sequence network for traffic flow prediction.

Shuqin Cao, Libing Wu, Jia Wu, Dan Wu, Qingan Li

Inf. Sci., 2022

A cooperative mobility model for multiple autonomous vehicles.

Libing Wu, Shuqin Cao, Yanjiao Chen, Jianxin Li, Jianqun Cui, Yanan Chang

Comput. Commun., 2022

Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction.

Shuqin Cao, Libing Wu, Rui Zhang, Jianxin Li, Dan Wu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

An adaptive multiple spray-and-wait routing algorithm based on social circles in delay tolerant networks.

Libing Wu, Shuqin Cao, Yanjiao Chen, Jianqun Cui, Yanan Chang

Comput. Networks, 2021

2019

A Study on Sensitive Bands of EEG Data under Different Mental Workloads.

Hongquan Qu, Zhanli Fan, Shuqin Cao, Liping Pang, Hao Wang, Jie Zhang

Algorithms, 2019

An Adaptive Spray and Wait Routing Algorithm Based on Quality of Node in Delay Tolerant Network.

Jianqun Cui, Shuqin Cao, Yanan Chang, Libing Wu, Dan Liu, Yi Yang

IEEE Access, 2019

2016

Cloud removal from the AVHRR/2 images with cloud and snow over Qinghai-Tibet Plateau.

Ji Zhu, Shuqin Cao, Guofei Shang

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016