RECrowd: a reliable participant selection framework with truthful willingness in mobile crowdsensing. - Xiaohui Wei 002; Yao Tang; Xingwang Wang; Yuanyuan Liu 007; Bingyi Sun (Int. J. Sens. Networks, 2018)

A survey on quality-assurance approximate stream processing and applications. - Xiaohui Wei 002; Yuanyuan Liu 007; Xingwang Wang; Bingyi Sun; Shang Gao 005; Jon G. Rokne (Future Gener. Comput. Syst., 2019)

Task Replica Assignment in Mobile Self-Organized Crowdsensing. - Xiaohui Wei; Bingyi Sun; Jiaxu Cui (Int. J. Perform. Eng., 2020)

Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. - Jiaxu Cui; Bo Yang 002; Bingyi Sun; Jiming Liu 001 (AAAI, 2021)

Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs. - Jiaxu Cui; Bo Yang 002; Bingyi Sun; Xia Hu 001; Jiming Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Novel Task Assignment Adjustment Method in Spatial-Temporal Crowdsourcing. - Bingyi Sun; Jiaxu Cui; Hongtao Bai; Yonggang Zhang (MobiQuitous (2), 2023)

Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes. - Jiaxu Cui; Bingyi Sun; Jiming Liu 001; Bo Yang 002 (CoRR, 2023)

Location-and-Preference Joint Prediction for Task Assignment in Spatial Crowdsourcing. - Xiaohui Wei 002; Bingyi Sun; Jiaxu Cui; Meikang Qiu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Social activity matching with graph neural network in event-based social networks. - Bingyi Sun; Xiaohui Wei; Jiaxu Cui; Yan Wu (Int. J. Mach. Learn. Cybern., 2023)

Learning continuous network emerging dynamics from scarce observations via data-adaptive stochastic processes. - Jiaxu Cui; Qipeng Wang; Bingyi Sun; Jiming Liu 001; Bo Yang 002 (Sci. China Inf. Sci., 2024)