- Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang, "Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial", CIKM 2020 demo
- Zhihang Yuan(*), Bingzhe Wu(*), Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi, "S2dnas: Transforming static cnn model for dynamic inference via neural architecture search", ECCV 2020 oral
- Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng, "Practical privacy preserving poi recommendation", TIST 2020
- Zhe Zhou(*), Bingzhe Wu(*), Zheng Liang, Guangyu Sun, Chenren Xu, Guojie Luo, "SaFace: Towards Scenario-aware Face Recognition via Edge Computing System", HotEdge 2020
- Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou, "Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics", AAAI 2020
- Bingzhe Wu, Shiwan Zhao, ChaoChao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou, "Generalization in generative adversarial networks: A novel perspective from privacy protection", NeurIPS 2020
- Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou,"Secure Social Recommendation based on Secret Sharing, ECAI 2020
- Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun, "G2C: a generator-to-classifier framework integrating multi-stained visual cues for pathological glomerulus classification", AAAI 2019
- Peichen Xie(*), Bingzhe Wu(*), Guangyu Sun, "BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference", IJCAI 2019
- Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu, "P3sgd: Patient privacy preserving sgd for regularizing deep cnns in pathological image classification", CVPR 2019