Li Wang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 35

Top Topics

Privacy Preserving

Homomorphic Encryption

Top Venues

Publications

Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. SP (2023)
Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu
Video-Audio Domain Generalization via Confounder Disentanglement. AAAI (2023)
Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR (2022)
Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang
Large-scale Secure XGB for Vertical Federated Learning. CIKM (2021)
Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
ASFGNN: Automated separated-federated graph neural network. Peer-to-Peer Netw. Appl. 14 (3) (2021)
Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. KDD (2021)
Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS (2021)
Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
Secure Social Recommendation Based on Secret Sharing. ECAI (2020)
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)
Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. 11 (5) (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)
Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR (2020)
Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR (2020)
Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. CoRR (2020)
Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou
Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) (2020)
Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X
A Hybrid-Domain Framework for Secure Gradient Tree Boosting. CoRR (2020)
Yilun Lin, Chaochao Chen, Cen Chen, Li Wang
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. CoRR (2020)
Jamie Cui, Chaochao Chen, Li Wang
Highly-Scalable Protected Graph Database Search with Oblivious Filter. IACR Cryptol. ePrint Arch. 2020 (2020)
Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
Adapted tree boosting for Transfer Learning. CoRR (2020)
Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang
Privacy-Preserving Graph Neural Network for Node Classification. CoRR (2020)
Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang
Secret Sharing based Secure Regressions with Applications. CoRR (2020)
Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. CoRR (2020)
Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
Secure Social Recommendation based on Secret Sharing. CoRR (2020)
Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu
Privacy Preserving PCA for Multiparty Modeling. CoRR (2020)
Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang
Industrial Scale Privacy Preserving Deep Neural Network. CoRR (2020)
Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng
Practical Privacy Preserving POI Recommendation. CoRR (2020)
Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
ASFGNN: Automated Separated-Federated Graph Neural Network. CoRR (2020)
Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData (2019)
Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. CoRR (2019)
Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
Adapted Tree Boosting for Transfer Learning. IEEE BigData (2019)
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. CoRR (2019)
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 (2019)
Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li
Time-sensitive Customer Churn Prediction based on PU Learning. CoRR (2018)
Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li
Large scale app recommendation in Ant Financial. IEEE BigData (2017)