Cloud removal from the AVHRR/2 images with cloud and snow over Qinghai-Tibet Plateau. - Ji Zhu 004; Shuqin Cao; Guofei Shang (IGARSS, 2016)

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)

A Study on Sensitive Bands of EEG Data under Different Mental Workloads. - Hongquan Qu; Zhanli Fan; Shuqin Cao; Liping Pang; Hao Wang 003; Jie Zhang (Algorithms, 2019)

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)

Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction. - Shuqin Cao; Libing Wu; Rui Zhang 083; Jianxin Li 001; Dan Wu 006 (IJCNN, 2022)

A cooperative mobility model for multiple autonomous vehicles. - Libing Wu; Shuqin Cao; Yanjiao Chen; Jianxin Li 001; Jianqun Cui; Yanan Chang (Comput. Commun., 2022)

A spatio-temporal sequence-to-sequence network for traffic flow prediction. - Shuqin Cao; Libing Wu; Jia Wu 001; Dan Wu 006; Qingan Li (Inf. Sci., 2022)

MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets. - Rui Zhang 083; Libing Wu; Shuqin Cao; Neal N. Xiong; Jianxin Li 001; Dan Wu 006; Chao Ma 008 (J. Syst. Archit., 2022)

Subpixel Snow Mapping Using Daily AVHRR/2 Data over Qinghai-Tibet Plateau. - Ji Zhu 004; Shuqin Cao; Guofei Shang; Jiancheng Shi 001; Xinyun Wang; Zhaojun Zheng; Chenzhou Liu; Huicai Yang; Baoni Xie (Remote. Sens., 2022)

Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV. - Rui Zhang 083; Libing Wu; Shuqin Cao; Xinrong Hu; Shan Xue 001; Dan Wu 006; Qingan Li (ACM Trans. Internet Techn., 2022)

Communication-Efficient and Byzantine-Robust Federated Learning for Mobile Edge Computing Networks. - Zhuangzhuang Zhang; Libing Wu; Debiao He; Jianxin Li 001; Shuqin Cao; Xianfeng Wu (IEEE Netw., 2023)

A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets. - Rui Zhang 083; Libing Wu; Shuqin Cao; Dan Wu 006; Jianxin Li 001 (IEEE Trans. Netw. Serv. Manag., 2023)

LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game. - Jianfeng Lu 002; Yue Chen; Shuqin Cao; Longbiao Chen; Wei Wang 170; Yun Xin (IJCAI, 2024)

FedBoost: Bayesian Estimation Based Client Selection for Federated Learning. - Yuhang Sheng; Lingguo Zeng; Shuqin Cao; Qing Dai; Shasha Yang 001; Jianfeng Lu 002 (IEEE Access, 2024)

Contribution Matching-Based Hierarchical Incentive Mechanism Design for Crowd Federated Learning. - Hangjian Zhang; Yanan Jin; Jianfeng Lu 002; Shuqin Cao; Qing Dai; Shasha Yang 001 (IEEE Access, 2024)

A Spatial-Temporal Gated Hypergraph Convolution Network for Traffic Prediction. - Shuqin Cao; Libing Wu; Rui Zhang 083; Yanjiao Chen; Jianxin Li 001; Qin Liu 003 (IEEE Trans. Veh. Technol., 2024)

A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction. - Shuqin Cao; Libing Wu; Rui Zhang 083; Dan Wu 006; Jianqun Cui; Yanan Chang (IEEE Trans. Intell. Transp. Syst., 2024)

Lyapunov-Guided Long-Term Fairness-Aware Federated Learning for Collaborative TinyML on Edge Devices. - Jianfeng Lu 002; Yuhang Sheng; Shuqin Cao; Said Elnaffar; Malik Muhammad Saad 001; Abegaz Mohammed Seid; Aiman Erbad (IEEE Trans. Consumer Electron., 2024)

FedCross: Intertemporal Federated Learning Under Evolutionary Games. - Jianfeng Lu 002; Ying Zhang; Riheng Jia; Shuqin Cao; Jing Liu 032; Hao Fu (AAAI, 2025)

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning. - Gangqiang Hu; Jianfeng Lu 002; Jianmin Han; Shuqin Cao; Jing Liu 032; Hao Fu (AAAI, 2025)

RATE: Game-Theoretic Design of Sustainable Incentive Mechanism for Federated Learning. - Bing Li 014; Jianfeng Lu 002; Shuqin Cao; Lijuan Hu; Qing Dai; Shasha Yang 001; Zhiwei Ye (IEEE Internet Things J., 2025)

FedSC: Game-Theoretic Design of Sustainable Contracts for Unreliable Federated Edge Learning. - Jianfeng Lu 002; Wenxuan Yuan; Riheng Jia; Shuqin Cao; Chen Wang 011; Minglu Li 001 (IEEE Trans. Comput. Soc. Syst., 2025)

Hypergraph Attention Recurrent Network for Cellular Traffic Prediction. - Shuqin Cao; Libing Wu; Rui Zhang 083; Jianfeng Lu 002; Dan Wu 006; Zhuangzhuang Zhang (IEEE Trans. Netw. Serv. Manag., 2025)

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information. - Yun Xin; Jianfeng Lu 002; Shuqin Cao; Gang Li 028; Haozhao Wang; Guanghui Wen (CoRR, 2025)

Bilateral Pricing for Dynamic Association in Federated Edge Learning. - Bangqi Pan; Jianfeng Lu 002; Shuqin Cao; Jing Liu 032; Wenlong Tian; Minglu Li 001 (IEEE Trans. Mob. Comput., 2025)

Optimizing Model-Driven Federated Learning for Rational and Data-Efficient in Social Mobile Network. - Jianfeng Lu 002; Ying Zhang; Shuqin Cao; Wei Wang 170; Changbing Tang (IEEE Netw., 2025)