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Rongfang Bie
Professor
Ph.D. Supervisor Master's Supervisor
E-Mail:
b12f85a720fb99f60574b1169af7608f0872caccda5fe4f1cfe3b8aab8f0f2379be4843a676a905d462b62a8955c551be547d223aebe07587fdf2c10e9ce6c8a4c56a956810d3d4cd1c534aaf1c08137a4e17a75a39d98ee30faf4015f0760680153a9d07e54dfb85d44cdf5d667f2f5e774e4fcc881522d0ca38dfe7d8bebee
School/Department:
人工智能学院
Administrative Position:
主任
Professional Title:
Professor
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Paper Publications
Guo,J.;Zhang,H.;Sun,Y.;Bie,R.| Square-root unscented kalman filtering based localization and tracking in the Internet of things
Zhou,X.;Guo,J.;Bie,R.| Deep Learning Based Affective Model for Speech Emotion Recognition
Xin,J.;Xin,J.;Bie,R.| Classification analysis of SAGE data using maximum entropy model, 3614 (PART II)
刘冬雪;别荣芳;龙海明;孙洪涛| 北京师范大学数据工作评价机制设计与实践, 中国教育网络, 2024, No.305 (12) :68-69
Wang, Haodi;Bie, Rongfang;Hoang, Thang| An Efficient and Zero-Knowledge Classical Machine Learning Inference Pipeline, IEEE Transactions on Dependable and Secure Computing, 2024
Jiang, Tangyu; Wang, Haodi; Bie, Rongfang; Jiao, Libin| New Indicators and Optimizations for Zero-Shot NAS Based on Feature Maps, KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT III, KSEM 2024, 2024, 14886 :411-422
Bai, Zhao;Wang, Mingyue;Guo, Fangda;Guo, Yu;Cai, Chengjun;Bie, Rongfang;Jia, Xiaohua| SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud, Proceedings - International Conference on Data Engineering, 2024
Wang, Haodi;Jiang, Tangyu;Guo, Yu;Guo, Fangda;Bie, Rongfang;Jia, Xiaohua| Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization, Proceedings - International Conference on Data Engineering, 2024
Bie, Rongfang;Jiang, Jinxiu;Xie, Hongcheng;Guo, Yu;Miao, Yinbin;Jia, Xiaohua| Mitigating Backdoor Attacks in Pre-trained Encoders via Self-supervised Knowledge Distillation, IEEE Transactions on Services Computing, 2024
Wang, Shuyang; Xie, Hongcheng; Guo, Yu; Guo, Fangda; Jing, Fangming; Bie, Rongfang| Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated Learning, DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PT I, DASFAA 2024, 2024, 14850 :511-521
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