教师队伍
姓名:白洋

职称:讲师

邮箱:ybai@sjtu.edu.cn

科研成果

Y. Bai, L. Chen, J. Xu, "NeuE: Automated Neural Network Ensembles for Edge Intelligence." IEEE Transactions on Emerging Topics in Computing (TETC), 2022. (accepted)

Y. Bai, L. Chen, S. Ren, J. Xu, "Automated Customization of On-device Inference for Quality-of-Experience Enhancement." IEEE Transactions on Computers (TC), 2022. (accepted)

Y. Bai, L. Chen, J. Li, J. Wu, P. Zhou, Z. Xu, J. Xu, "Multi-core Federated Learning for Edge Computing Platforms" IEEE Internet of Things Journal (IoTJ), 2022. (accepted)

Y. Bai, L. Chen, M. Adbel-Mottaleb, J. Xu, "Automated Ensemble for Deep Learning Inference on Edge Computing Platforms." IEEE Internet of Things Journal (IoTJ), vol.9, no.6, pp.4202-4213, 2021. 

Y. Bai, L. Chen, L. Song, J. Xu, "Risk-aware Edge Computation Offloading Using Bayesian Stackelberg Game." IEEE Transactions on Network and Service Management (TNSM), vol.17, no.8, pp.1000-1012, 2020.

Y. Bai, L. Chen, L. Zhang, M. Adbel-Mottaleb, J. Xu, "Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms." IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2021. 

Y. Bai, L. Chen, L. Song, J. Xu, "Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading." Proceedings of WKSP MTD in conjunction with ACM Conference on Computer and Communications Security (MTD-CCS).

Y. Bai, M. Haghighat, M. Adbel-Mottaleb, "Kernel Discriminant Correlation Analysis: Feature Level Fusion for Nonlinear Biometric Recognition." International Conference on Pattern Recognition (ICPR).